Having a clear understanding of people’s behaviour is essential to characterise patient progress, make treatment decisions and elicit effective and relevant coaching actions. Hence, a great deal of research has been devoted in recent years to the automatic sensing and analysis of human behaviour.
Sensing options are currently unparalleled due to the number of smart, ubiquitous sensor systems developed and deployed globally. Instrumented devices such as smartphones or wearables enable unobtrusive observation and detection of a wide variety of behaviours as we go about our physical and virtual interactions with the world.
The vast amount of data generated by such sensing infrastructures can be then analysed by powerful machine-learning algorithms, which map the raw data into predictive trajectories of behaviour. The processed data is combined with computerised behaviour change frameworks and domain knowledge to dynamically generate tailored recommendations and guidelines through advanced reasoning.
In view of the above, this keynote explores the recent advances in the automatic sensing and analysis of human behaviour to inform e-coaching actions.
Enabling remote assessment of cognitive behaviour through mobile experience s...Oresti Banos
The document describes a mobile experience sampling tool called MobileCogniTracker that aims to remotely assess cognitive behavior. It integrates cognitive experience sampling methods and passive mobile sensing to measure cognition in daily life. A study evaluated MobileCogniTracker usability in 13 older adult participants. Results found the system easy to use with a usability score over 68. Experts saw tasks like orientation and recall as feasible but had concerns about language tasks and smartphone influences. The tool shows potential but requires more study in cognitively impaired users and minimizing learning effects.
Emotion AI: Concepts, Challenges and OpportunitiesOresti Banos
This presentation performs an in-depth analysis of the rather emerging field of Emotion AI. The presentation aims at covering different aspects of Emotion AI, ranging from emotion elicitation and modelling to sensing and recognition. Special attention is paid to describing the art of the possible with respect to existing technologies for emotion sensing and AI-models for the automatic recognition of human emotions.
Ontological Modeling of Motivational Messages for Physical Activity CoachingOresti Banos
Smart coaching systems are named to play a central role in both prevention and intervention strategies for behavioral change. While relevant progresses have been made in terms of automatic and continuous monitoring of behavioral aspects, e.g. amount and variety of physical activity, coaching and feedback techniques are still in an infancy stage. Current smart coaching strategies are mostly based on handcrafted messages which hardly personalize to the needs, context and preferences of each user. In order to make these recommendations more realistic, engaging and effective more flexible and sophisticated strategies are needed. This paper presents an ontology-based approach to model personalizable motivational messages for promoting healthy physical activity. The proposed ontology not only models the message intention and its components, e.g. argument, feedback or followup, but also its content, i.e. action, place, time or object required to perform the recommended activity. Through this ontology the messages can also be categorized into multiple classes, e.g. sedentary, mild or vigorous activities, and retrieved based on the preferences, needs and context of the user. Additional information not explicitly present on the messages can be inferred from the ontology by applying reasoning techniques and used to enhance the message retrieval process.
This introduces a method to track humans in crowded public spaces using a network of LIDAR sensors installed at shoulder height. The method models humans as ellipses and uses a particle filter framework to track their position and body orientation over time based on LIDAR point cloud data. The method was tested in an art gallery and was able to track visitors' positions, orientations, and trajectories to analyze their behaviors, which could help museum professionals better understand visitor engagement and improve exhibitions. However, the previous method had limitations handling occlusion, so this paper proposes an improved method using a larger network of more widely spaced LIDAR sensors to overcome occlusion issues and enable robust tracking even in dense crowds.
A Methodological Variation For Acceptance Evaluation Of Human-Robot Interacti...Heather Strinden
The document proposes using a breaching experiment combined with ethnographic observation to study social acceptance of robots in public spaces. This method involves introducing a robot into a pedestrian area to observe people's natural first reactions. The researchers conducted a field trial in a public place using this method, gathering feedback via questionnaires. They found that breaching experiments can be a useful way to investigate social acceptance of robots in real-world settings.
The document discusses the evolving landscape of smart objects and the Internet of Things. It covers several topics:
- Smart objects are becoming more intelligent, able to sense their environment, communicate with each other and users, and act proactively. They are part of interconnected ecosystems.
- Technology trends that are shaping smart objects include increased sensors, connectivity between devices, self-awareness, pattern recognition, augmented reality, and big data.
- User needs around smart objects include emotional comfort, awareness, managing time efficiently, identity expression, and maintaining privacy amid more connected devices.
2015 is on the edge between cloud computing and the Internet of Things era. Being connected is the natural state of mind for any smart object.
In fact, adding a personality to a digital product or connecting an already digital object to the Internet of Things provides a range of opportunities for business - very tempting for companies looking to bring their goods and services even closer to the needs of their customer base.
Placing an object in a pocket, in a car, on a desktop or in customers’ homes means building a personal, bi-directional, “always-on” communication channel.
-
Design Group Italia has been around since 1968 helping companies design and innovate their physical products.
Enabling remote assessment of cognitive behaviour through mobile experience s...Oresti Banos
The document describes a mobile experience sampling tool called MobileCogniTracker that aims to remotely assess cognitive behavior. It integrates cognitive experience sampling methods and passive mobile sensing to measure cognition in daily life. A study evaluated MobileCogniTracker usability in 13 older adult participants. Results found the system easy to use with a usability score over 68. Experts saw tasks like orientation and recall as feasible but had concerns about language tasks and smartphone influences. The tool shows potential but requires more study in cognitively impaired users and minimizing learning effects.
Emotion AI: Concepts, Challenges and OpportunitiesOresti Banos
This presentation performs an in-depth analysis of the rather emerging field of Emotion AI. The presentation aims at covering different aspects of Emotion AI, ranging from emotion elicitation and modelling to sensing and recognition. Special attention is paid to describing the art of the possible with respect to existing technologies for emotion sensing and AI-models for the automatic recognition of human emotions.
Ontological Modeling of Motivational Messages for Physical Activity CoachingOresti Banos
Smart coaching systems are named to play a central role in both prevention and intervention strategies for behavioral change. While relevant progresses have been made in terms of automatic and continuous monitoring of behavioral aspects, e.g. amount and variety of physical activity, coaching and feedback techniques are still in an infancy stage. Current smart coaching strategies are mostly based on handcrafted messages which hardly personalize to the needs, context and preferences of each user. In order to make these recommendations more realistic, engaging and effective more flexible and sophisticated strategies are needed. This paper presents an ontology-based approach to model personalizable motivational messages for promoting healthy physical activity. The proposed ontology not only models the message intention and its components, e.g. argument, feedback or followup, but also its content, i.e. action, place, time or object required to perform the recommended activity. Through this ontology the messages can also be categorized into multiple classes, e.g. sedentary, mild or vigorous activities, and retrieved based on the preferences, needs and context of the user. Additional information not explicitly present on the messages can be inferred from the ontology by applying reasoning techniques and used to enhance the message retrieval process.
This introduces a method to track humans in crowded public spaces using a network of LIDAR sensors installed at shoulder height. The method models humans as ellipses and uses a particle filter framework to track their position and body orientation over time based on LIDAR point cloud data. The method was tested in an art gallery and was able to track visitors' positions, orientations, and trajectories to analyze their behaviors, which could help museum professionals better understand visitor engagement and improve exhibitions. However, the previous method had limitations handling occlusion, so this paper proposes an improved method using a larger network of more widely spaced LIDAR sensors to overcome occlusion issues and enable robust tracking even in dense crowds.
A Methodological Variation For Acceptance Evaluation Of Human-Robot Interacti...Heather Strinden
The document proposes using a breaching experiment combined with ethnographic observation to study social acceptance of robots in public spaces. This method involves introducing a robot into a pedestrian area to observe people's natural first reactions. The researchers conducted a field trial in a public place using this method, gathering feedback via questionnaires. They found that breaching experiments can be a useful way to investigate social acceptance of robots in real-world settings.
The document discusses the evolving landscape of smart objects and the Internet of Things. It covers several topics:
- Smart objects are becoming more intelligent, able to sense their environment, communicate with each other and users, and act proactively. They are part of interconnected ecosystems.
- Technology trends that are shaping smart objects include increased sensors, connectivity between devices, self-awareness, pattern recognition, augmented reality, and big data.
- User needs around smart objects include emotional comfort, awareness, managing time efficiently, identity expression, and maintaining privacy amid more connected devices.
2015 is on the edge between cloud computing and the Internet of Things era. Being connected is the natural state of mind for any smart object.
In fact, adding a personality to a digital product or connecting an already digital object to the Internet of Things provides a range of opportunities for business - very tempting for companies looking to bring their goods and services even closer to the needs of their customer base.
Placing an object in a pocket, in a car, on a desktop or in customers’ homes means building a personal, bi-directional, “always-on” communication channel.
-
Design Group Italia has been around since 1968 helping companies design and innovate their physical products.
The document discusses emerging trends in smart objects and the Internet of Things. It describes how objects are becoming more intelligent through new sensing, connectivity, and data analysis capabilities. This allows objects to become more active, proactive, and able to communicate with each other and users in new ways. The trends discussed include objects forming interconnected ecosystems; new interaction methods like voice, gesture and eye tracking; self-awareness through health and activity monitoring; and pattern recognition capabilities. The document advocates for a human-centered approach to ensure these smart technologies actually create value for users.
The document discusses the rise of smart objects and the Internet of Things. It covers how objects are becoming more intelligent and able to sense their environment and communicate with other connected devices and systems. This represents a shift from isolated products to interconnected ecosystems. The document also addresses several technology trends driving this evolution, such as augmented reality, big data, and new interaction methods like voice and gesture control. Finally, it discusses how these changes influence user needs like emotional comfort, awareness, time management and identity expression.
From Humanities to Metahumanities: Transhumanism and the Future of Education....eraser Juan José Calderón
From Humanities to Metahumanities: Transhumanism and the Future of Education. Poppy Frances Gibson
Abstract
Educational policy and provision is ever-changing; but how does pedagogy need to adapt to respond to transhumanism? This opinion piece discusses transhumanism, questions what it will mean to be posthuman, and considers the implications of this on the future of education. This piece aims to identify some key questions in the area of transhumanism and education as four themes are considered: teachers, human hardware, curriculum and lifelong learning.
This document discusses the work of InSTEDD, a nonprofit organization that aims to improve global health and development through technology. It outlines InSTEDD's vision, mission, and values, which include building local capacity for innovation, creating collaboration technologies, collaborating with end users, and ensuring usefulness and impact. The document describes some of InSTEDD's projects, such as a birth complication data collection device in Sierra Leone and an innovation lab in Phnom Penh. It also discusses principles of agile design, empowering communities with information, and unleashing local innovation to improve health systems.
Architecture and Agility with Lives at StakeInSTEDD
This document discusses the work of InSTEDD, a nonprofit organization that aims to improve global health and development through technology. It outlines InSTEDD's vision, mission, and values, which include building local capacity for innovation, creating collaboration technologies, collaborating with end users, and ensuring usefulness and impact. The document describes some of InSTEDD's projects, such as a birth complication data collection device in Sierra Leone and an innovation lab in Phnom Penh. It also discusses principles of agile design, empowering communities with information, architecture considerations, and the value of sharing knowledge and inspiring different perspectives.
This document discusses 21st century skills and learning. It outlines eight types of intelligence and examples of people who exemplify each type. It then discusses key skills needed for the 21st century like creativity, critical thinking, communication and collaboration. It advocates for project-based learning to develop these skills and provides examples of how to structure projects to incorporate different skills. The document provides recommendations for what 21st century learning should include and outcomes it should achieve. It also shares examples of emerging technologies and predictions about technological advances in the coming decades.
The presentation will be structured as follow. The talk will first provide an introduction to the theory behind the Socio-Cultural Ecology (Pachler, Bachmair and Cook, 2010) and the notion of User-generated contexts (Cook, Pachler and Bachmair, accepted), which Cook (2009) has refined into an analytical tool called a ‘typology-grid’ (see below). The talk will then demonstrate how the typology-grid has been successfully been used to analyse and learn from the ALPS and conclude by inviting a critique of the typology-grid.
1. Professor Dr. Ebba Ossiannilsson is a consultant, expert, influencer, and quality assessor in open, flexible, online, and distance learning who advocates for improving open and online learning in relation to SDG4 and the futures of education.
2. She has nearly 20 years of experience in her field and works with several international organizations promoting quality in online and open education.
3. Ossiannilsson has received several honors and awards for her work and publishes regularly on topics related to online learning, open educational resources, and quality assurance.
Technology and Disability 24 (2012) 303–311 303DOI 10.3233T.docxmattinsonjanel
Technology and Disability 24 (2012) 303–311 303
DOI 10.3233/TAD-120361
IOS Press
Service robots in elderly care at home: Users’
needs and perceptions as a basis for concept
development
Lucia Piginia,∗, David Facalb, Lorenzo Blasic and Renzo Andricha
aFondazione Don Carlo Gnocchi Onlus, Milano, Italy
bFundación Instituto Gerontológico Matia – INGEMA, San Sebastian, Spain
cHewlett-Packard Italiana S.r.l., Milano, Italy
Abstract. Background: Service robots may offer an innovative assistive solution to improve the quality of life of frail elderly
people, by assisting them in specific situations identified as relevant to maintain independence.
Objective: This paper describes the results of a qualitative and quantitative research based on a user-centered methodology carried
out within the EU-funded project “Multi-Role Shadow Robotic System for Independent Living” (SRS), aiming to generate user
requirements and realistic usage scenarios maximizing the alignment with users’ needs, perceptions, feelings and rights.
Methods: A qualitative and quantitative research – based on focus groups (59 participants) and questionnaires (129 respondents) –
was carried out in three countries: Italy, Spain and Germany. The survey involved prospective end-users (elderly people and
family members who care for them), caregivers, and geriatric experts.
Results: Results show that despite elderly people encounter difficulties in many activities of daily life, a semi-autonomous
remotely-controlled and self-learning service robot has been judged an interesting solution only in some circumstances. Moni-
toring and managing emergency situations, helping with reaching, fetching and carrying objects that are too heavy or positioned
in unreachable places: these are tasks for which robotic support has been widely accepted, while tasks involving direct physical
contact between the person and the robot are not appreciated instead. Relatives of the elderly could act as remote operators;
however, family psychological burden and time restrictions should be considered too.
Conclusions: A tele-operated robotic system may be of help for frail elderly people. In certain cases this solution may be effective
only in conjunction with a 24-hour professional Service Centre able to manage tele-operation when relatives are not available.
This survey adds further tokens of knowledge to previous literature studies on this subject; it compares the potential users’ and the
professionals’ views; it helps identifying potentially successful applications of tele-operated robots in the care of elderly people
living at home. The results obtained by the present study, generated specific requirements and the first versions of concrete usage
scenarios, enabling designers and technologists to start with a first development phase of the SRS concept.
Keywords: Service robots, tele-operation, elderly people, caregivers, user requirements, user centered design
1. Introduction
Several robotic research proje ...
(Crestani et al., 2004) The proliferation of mobile devices and thMargaritoWhitt221
The document discusses several papers related to research in the field of mobile human-computer interaction (mobile HCI). The first paper discusses the International Workshop on Mobile and Ubiquitous Information Access that was held in 2003 in Italy and covered topics like interface design, interaction techniques, context-aware applications and implications of mobile computing. The second paper discusses a study that analyzed how often and for how long users look at their mobile devices on average. The third paper discusses the Mobile HCI 2004 conference that established mobile HCI as a central research area and impacted how the field is conducted today.
This document summarizes a workshop on developing citizen-centric health services in China and Finland. It discusses a "dual model" approach that combines corporate/public services with user-driven innovation. A key focus is how to actively involve citizens to address challenges in health, environment and other sectors. The dual model aims to integrate enterprise architectures with "citizen architectures" to combine resources from individuals, communities and organizations. Developing nationwide eHealth services poses challenges around changing mindsets, usability, responsibility, addressing diverse citizen needs, and economic models.
DeCAT 2015 - International Workshop on Deep Content Analytics Techniques for ...Cataldo Musto
Opening presentation for DeCAT 2015 - International Workshop on Deep Content Analytics Techniques for Personalized and Intelligent Services, held in Dublin on June 30, 2015.
Both the recent adoption of ‘smart’ mobile devices and the advances in network communications have opened up new opportunities for learning. With our mobile devices we can connect anytime and anywhere to our global identity in the cloud extending our experience with our environment. We are constantly learning in an informal process through our devices in interaction with our physical context
and with people. As Sharples (2010) states, “learning flows across locations, time, topics and technologies rather than occurring within a fixed location”. Novel applications appear everyday, which propose new forms of interactions that superimpose layers of ‘digital’ contextualized information over ‘physical’ environments opening up a new range of learning experiences. In this session, we will discuss recent theory of mobile learning and how this has changed the way we learn. We will review some of the applications developed for supporting learning in several contexts, indoors and outdoors, and how all this
is evolving toward applications for learning in the Smart City. Finally we will discuss the challenges of current and future mobile learning scenarios.
M. Sharples,J. Taylor, and G. Vavoula. Bachmair, B. (Ed.) Medienbildung in neuen Kulturr¨aumen, chapter A Theory of Learning
for the Mobile Age. Learning through Conversation and Exploration Across Contexts, pp. 87–99. Verlag: Springer, 2010.
Presentation at the Workshop on Expectations for AAL and enhanced living environments in 2025/2030, by Francisco Florez-Revuelta, Susanna Spinsante, and Nuno Garcia, all members of the Cost Action IC1303 - AAPELE - Algorithms, Architectures and Platforms for Enhanced Living Environments
Ethnography is a qualitative research method that involves observing and interviewing people in their natural environments to understand their behaviors and cultural beliefs. It generates large amounts of narrative, visual, and audio data. Ethnographic research aims to provide deep insights into people that can be used to inform product and program design, ensuring they meet user needs. It is especially useful early in the design process to avoid potential issues. The results of ethnography go beyond data to include knowledge transfer materials like photos, quotes, and testimonials.
Presentatie ecare summerschool Ghent 2014 An Jacobs
In this presentation we start with explaining the necessity of a user centered approach of any e-care solution. In the past users where only consulted when a product was almost finished at the end of a development trajectory when making changes cost a lot of money. Today another approach is becoming the best practice of R&D: user centered design. In the care domain this brings some extra challenges towards the inclusion of vulnerable people as well as overburdened care professionals. Adapted UCD strategies are thus appropriate. Illustrated with examples from own research experiences in e care R&D projects, we reflect on the essential steps, pitfalls and solutions to integrate a user centered approach in your future eCare project.
A Persuasive System For Obesity Prevention In Teenagers A ConceptDarian Pruitt
This document describes a concept for a persuasive system to help prevent obesity in teenagers. The system is part of a larger ecosystem involving schools, families, healthcare providers and other stakeholders. It uses a virtual individual model to tailor interventions for each user based on factors like nutrition habits, physical activity and mood. The smartphone app provides personalized messages, a food diary, games and social features to motivate healthy behaviors. Three pilot tests will evaluate the system's effectiveness in different countries and cultures. The goal is to help teenagers easily adopt healthy lifestyles through mobile persuasion and computer-tailored support.
This document provides an overview of biodata analysis techniques for medical applications. It defines biodata as biological data collected from living systems. The biodata analysis chain involves several key steps: segmentation to divide data into windows, feature extraction to characterize the data numerically, feature selection to identify the most relevant features, and classification to assign categories or labels to new data based on a trained model. The document reviews techniques for each step of the analysis chain and provides examples of applying these techniques to motion and other types of medical biodata. The overall aim is to automatically extract useful information from large amounts of biodata to help medical experts with interpretation and decision making.
This document discusses biosignal processing and covers the following key points in 3 sentences:
It provides an overview of biosignal processing techniques including filtering to remove artifacts, event detection, and compression. It defines biosignals and gives examples like ECG and EMG. The document outlines topics like characterizing biosignals in the time and frequency domains, and techniques for time-frequency analysis like short-time Fourier transform and wavelet transform.
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The document discusses emerging trends in smart objects and the Internet of Things. It describes how objects are becoming more intelligent through new sensing, connectivity, and data analysis capabilities. This allows objects to become more active, proactive, and able to communicate with each other and users in new ways. The trends discussed include objects forming interconnected ecosystems; new interaction methods like voice, gesture and eye tracking; self-awareness through health and activity monitoring; and pattern recognition capabilities. The document advocates for a human-centered approach to ensure these smart technologies actually create value for users.
The document discusses the rise of smart objects and the Internet of Things. It covers how objects are becoming more intelligent and able to sense their environment and communicate with other connected devices and systems. This represents a shift from isolated products to interconnected ecosystems. The document also addresses several technology trends driving this evolution, such as augmented reality, big data, and new interaction methods like voice and gesture control. Finally, it discusses how these changes influence user needs like emotional comfort, awareness, time management and identity expression.
From Humanities to Metahumanities: Transhumanism and the Future of Education....eraser Juan José Calderón
From Humanities to Metahumanities: Transhumanism and the Future of Education. Poppy Frances Gibson
Abstract
Educational policy and provision is ever-changing; but how does pedagogy need to adapt to respond to transhumanism? This opinion piece discusses transhumanism, questions what it will mean to be posthuman, and considers the implications of this on the future of education. This piece aims to identify some key questions in the area of transhumanism and education as four themes are considered: teachers, human hardware, curriculum and lifelong learning.
This document discusses the work of InSTEDD, a nonprofit organization that aims to improve global health and development through technology. It outlines InSTEDD's vision, mission, and values, which include building local capacity for innovation, creating collaboration technologies, collaborating with end users, and ensuring usefulness and impact. The document describes some of InSTEDD's projects, such as a birth complication data collection device in Sierra Leone and an innovation lab in Phnom Penh. It also discusses principles of agile design, empowering communities with information, and unleashing local innovation to improve health systems.
Architecture and Agility with Lives at StakeInSTEDD
This document discusses the work of InSTEDD, a nonprofit organization that aims to improve global health and development through technology. It outlines InSTEDD's vision, mission, and values, which include building local capacity for innovation, creating collaboration technologies, collaborating with end users, and ensuring usefulness and impact. The document describes some of InSTEDD's projects, such as a birth complication data collection device in Sierra Leone and an innovation lab in Phnom Penh. It also discusses principles of agile design, empowering communities with information, architecture considerations, and the value of sharing knowledge and inspiring different perspectives.
This document discusses 21st century skills and learning. It outlines eight types of intelligence and examples of people who exemplify each type. It then discusses key skills needed for the 21st century like creativity, critical thinking, communication and collaboration. It advocates for project-based learning to develop these skills and provides examples of how to structure projects to incorporate different skills. The document provides recommendations for what 21st century learning should include and outcomes it should achieve. It also shares examples of emerging technologies and predictions about technological advances in the coming decades.
The presentation will be structured as follow. The talk will first provide an introduction to the theory behind the Socio-Cultural Ecology (Pachler, Bachmair and Cook, 2010) and the notion of User-generated contexts (Cook, Pachler and Bachmair, accepted), which Cook (2009) has refined into an analytical tool called a ‘typology-grid’ (see below). The talk will then demonstrate how the typology-grid has been successfully been used to analyse and learn from the ALPS and conclude by inviting a critique of the typology-grid.
1. Professor Dr. Ebba Ossiannilsson is a consultant, expert, influencer, and quality assessor in open, flexible, online, and distance learning who advocates for improving open and online learning in relation to SDG4 and the futures of education.
2. She has nearly 20 years of experience in her field and works with several international organizations promoting quality in online and open education.
3. Ossiannilsson has received several honors and awards for her work and publishes regularly on topics related to online learning, open educational resources, and quality assurance.
Technology and Disability 24 (2012) 303–311 303DOI 10.3233T.docxmattinsonjanel
Technology and Disability 24 (2012) 303–311 303
DOI 10.3233/TAD-120361
IOS Press
Service robots in elderly care at home: Users’
needs and perceptions as a basis for concept
development
Lucia Piginia,∗, David Facalb, Lorenzo Blasic and Renzo Andricha
aFondazione Don Carlo Gnocchi Onlus, Milano, Italy
bFundación Instituto Gerontológico Matia – INGEMA, San Sebastian, Spain
cHewlett-Packard Italiana S.r.l., Milano, Italy
Abstract. Background: Service robots may offer an innovative assistive solution to improve the quality of life of frail elderly
people, by assisting them in specific situations identified as relevant to maintain independence.
Objective: This paper describes the results of a qualitative and quantitative research based on a user-centered methodology carried
out within the EU-funded project “Multi-Role Shadow Robotic System for Independent Living” (SRS), aiming to generate user
requirements and realistic usage scenarios maximizing the alignment with users’ needs, perceptions, feelings and rights.
Methods: A qualitative and quantitative research – based on focus groups (59 participants) and questionnaires (129 respondents) –
was carried out in three countries: Italy, Spain and Germany. The survey involved prospective end-users (elderly people and
family members who care for them), caregivers, and geriatric experts.
Results: Results show that despite elderly people encounter difficulties in many activities of daily life, a semi-autonomous
remotely-controlled and self-learning service robot has been judged an interesting solution only in some circumstances. Moni-
toring and managing emergency situations, helping with reaching, fetching and carrying objects that are too heavy or positioned
in unreachable places: these are tasks for which robotic support has been widely accepted, while tasks involving direct physical
contact between the person and the robot are not appreciated instead. Relatives of the elderly could act as remote operators;
however, family psychological burden and time restrictions should be considered too.
Conclusions: A tele-operated robotic system may be of help for frail elderly people. In certain cases this solution may be effective
only in conjunction with a 24-hour professional Service Centre able to manage tele-operation when relatives are not available.
This survey adds further tokens of knowledge to previous literature studies on this subject; it compares the potential users’ and the
professionals’ views; it helps identifying potentially successful applications of tele-operated robots in the care of elderly people
living at home. The results obtained by the present study, generated specific requirements and the first versions of concrete usage
scenarios, enabling designers and technologists to start with a first development phase of the SRS concept.
Keywords: Service robots, tele-operation, elderly people, caregivers, user requirements, user centered design
1. Introduction
Several robotic research proje ...
(Crestani et al., 2004) The proliferation of mobile devices and thMargaritoWhitt221
The document discusses several papers related to research in the field of mobile human-computer interaction (mobile HCI). The first paper discusses the International Workshop on Mobile and Ubiquitous Information Access that was held in 2003 in Italy and covered topics like interface design, interaction techniques, context-aware applications and implications of mobile computing. The second paper discusses a study that analyzed how often and for how long users look at their mobile devices on average. The third paper discusses the Mobile HCI 2004 conference that established mobile HCI as a central research area and impacted how the field is conducted today.
This document summarizes a workshop on developing citizen-centric health services in China and Finland. It discusses a "dual model" approach that combines corporate/public services with user-driven innovation. A key focus is how to actively involve citizens to address challenges in health, environment and other sectors. The dual model aims to integrate enterprise architectures with "citizen architectures" to combine resources from individuals, communities and organizations. Developing nationwide eHealth services poses challenges around changing mindsets, usability, responsibility, addressing diverse citizen needs, and economic models.
DeCAT 2015 - International Workshop on Deep Content Analytics Techniques for ...Cataldo Musto
Opening presentation for DeCAT 2015 - International Workshop on Deep Content Analytics Techniques for Personalized and Intelligent Services, held in Dublin on June 30, 2015.
Both the recent adoption of ‘smart’ mobile devices and the advances in network communications have opened up new opportunities for learning. With our mobile devices we can connect anytime and anywhere to our global identity in the cloud extending our experience with our environment. We are constantly learning in an informal process through our devices in interaction with our physical context
and with people. As Sharples (2010) states, “learning flows across locations, time, topics and technologies rather than occurring within a fixed location”. Novel applications appear everyday, which propose new forms of interactions that superimpose layers of ‘digital’ contextualized information over ‘physical’ environments opening up a new range of learning experiences. In this session, we will discuss recent theory of mobile learning and how this has changed the way we learn. We will review some of the applications developed for supporting learning in several contexts, indoors and outdoors, and how all this
is evolving toward applications for learning in the Smart City. Finally we will discuss the challenges of current and future mobile learning scenarios.
M. Sharples,J. Taylor, and G. Vavoula. Bachmair, B. (Ed.) Medienbildung in neuen Kulturr¨aumen, chapter A Theory of Learning
for the Mobile Age. Learning through Conversation and Exploration Across Contexts, pp. 87–99. Verlag: Springer, 2010.
Presentation at the Workshop on Expectations for AAL and enhanced living environments in 2025/2030, by Francisco Florez-Revuelta, Susanna Spinsante, and Nuno Garcia, all members of the Cost Action IC1303 - AAPELE - Algorithms, Architectures and Platforms for Enhanced Living Environments
Ethnography is a qualitative research method that involves observing and interviewing people in their natural environments to understand their behaviors and cultural beliefs. It generates large amounts of narrative, visual, and audio data. Ethnographic research aims to provide deep insights into people that can be used to inform product and program design, ensuring they meet user needs. It is especially useful early in the design process to avoid potential issues. The results of ethnography go beyond data to include knowledge transfer materials like photos, quotes, and testimonials.
Presentatie ecare summerschool Ghent 2014 An Jacobs
In this presentation we start with explaining the necessity of a user centered approach of any e-care solution. In the past users where only consulted when a product was almost finished at the end of a development trajectory when making changes cost a lot of money. Today another approach is becoming the best practice of R&D: user centered design. In the care domain this brings some extra challenges towards the inclusion of vulnerable people as well as overburdened care professionals. Adapted UCD strategies are thus appropriate. Illustrated with examples from own research experiences in e care R&D projects, we reflect on the essential steps, pitfalls and solutions to integrate a user centered approach in your future eCare project.
A Persuasive System For Obesity Prevention In Teenagers A ConceptDarian Pruitt
This document describes a concept for a persuasive system to help prevent obesity in teenagers. The system is part of a larger ecosystem involving schools, families, healthcare providers and other stakeholders. It uses a virtual individual model to tailor interventions for each user based on factors like nutrition habits, physical activity and mood. The smartphone app provides personalized messages, a food diary, games and social features to motivate healthy behaviors. Three pilot tests will evaluate the system's effectiveness in different countries and cultures. The goal is to help teenagers easily adopt healthy lifestyles through mobile persuasion and computer-tailored support.
This document provides an overview of biodata analysis techniques for medical applications. It defines biodata as biological data collected from living systems. The biodata analysis chain involves several key steps: segmentation to divide data into windows, feature extraction to characterize the data numerically, feature selection to identify the most relevant features, and classification to assign categories or labels to new data based on a trained model. The document reviews techniques for each step of the analysis chain and provides examples of applying these techniques to motion and other types of medical biodata. The overall aim is to automatically extract useful information from large amounts of biodata to help medical experts with interpretation and decision making.
This document discusses biosignal processing and covers the following key points in 3 sentences:
It provides an overview of biosignal processing techniques including filtering to remove artifacts, event detection, and compression. It defines biosignals and gives examples like ECG and EMG. The document outlines topics like characterizing biosignals in the time and frequency domains, and techniques for time-frequency analysis like short-time Fourier transform and wavelet transform.
Automatic mapping of motivational text messages into ontological entities for...Oresti Banos
Unwholesome lifestyles can reduce lifespan by several years or even decades. Therefore, raising awareness and promoting healthier behaviors prove essential to revert this dramatic panorama. Virtual coaching systems are at the forefront of digital solutions to educate people and procure a more effective health self-management. Despite their increasing popularity, virtual coaching systems are still regarded as entertainment applications with an arguable efficacy for changing behaviors, since messages can be perceived to be boring, unpersonalized and can become repetitive over time. In fact, messages tend to be quite general, repetitive and rarely tailored to the specific needs, preferences and conditions of each user. In the light of these limitations, this work aims at help building a new generation of methods for automatically generating user-tailored motivational messages. While the creation of messages is addressed in a previous work, in this paper the authors rather present a method to automatically extract the semantics of motivational messages and to create the ontological representation of these messages. The method uses first natural language processing to perform a linguistic analysis of the message. The extracted information is then mapped to the concepts of the motivational messages ontology. The proposed method could boost the quantity and diversity of messages by automat- ically mining and parsing existing messages from the internet or other digitised sources, which can be later tailored according to the specific needs and particularities of each user.
Mobile Health System for Evaluation of Breast Cancer Patients During Treatmen...Oresti Banos
Breast cancer is the most common tumor in western women and statistically 1 out of 8 women will develop breast cancer over their lifetime. Once overcome it, the stage of rehabilitation that the patient should follow is critical to recover from the suffered disease. In this pa- per, a system composed of three applications, one for smartwatches, one for smartphones and a web application, is presented. Applications for handheld devices are directed to the patient who is undergoing rehabilitation and allow to monitor parameters of interest, such as the heart rate, energy expenditure and arm mobility, that will indicate whether the rehabilitation process being followed is improving the health of the patient or not. The web application is directed to a medical expert with the objective of tracking rehabilitation conducted by the patients.
Analysis of the Innovation Outputs in mHealth for Patient MonitoringOresti Banos
In the last decade, mobile health (mHealth) has developed as a natural consequence of the advances in mobile technologies, the growing spread of mobile devices, and their application in the provision of novel health services. mHealth has demonstrated the potential to make the health care sector more efficient and sustainable and to increase the healthcare quality. Considering the boost to the healthcare area which will be provided by mHealth, many organizations and governments have engaged in innovating in this area. In this context, this work investigated the role of innovation in the area of mHealth for patient monitoring in order to determine the trends and the performance of the innovation activities in this domain. Proxy indicators, like intellectual property statistics and scientific publication statistics, were utilized to measure the outputs of innovation during the period of time from 2006 to 2015 in Europe. Two studies were performed to provide quantitative measures for the indicators measuring innovation outputs in the domain of mHealth for patient monitoring and three main conclusions were observed. First, even if there was a lot of research in Europe in mHealth for patient monitoring, the vast majority of the enterprises did not protect their inventions. Second, a strong research collaboration in the area of mHealth for patient monitoring took place between researchers affiliated to institu- tions of different European countries and even with researchers working in Asian or American institutions. Finally, an increasing trend on the number of published articles about mHealth for patient monitoring was identified. Therefore, the findings of the studies demonstrated the great interest that has arisen the field of mHealth and the huge involvement in innovation activities in the area of mHealth for patient monitoring.
First Approach to Automatic Performance Status Evaluation and Physical Activi...Oresti Banos
The evaluation of cancer patients’ recovery is still under the big subjectivity of physicians. Many different systems have been successfully implemented for physical activity evaluation, nonetheless there is still a big leap into Performance Status evaluation with ECOG and Karnofsky’s Performance Status scores. An automatic system for data recovering based on Android smartphone and wearables has been developed. A gamification implementation has been designed for increasing patients’ motivation in their recovery. Furthermore, novel and without-precedent algorithms for Performance Status (PS) and Physical Activity (PA) assessment have been developed to help oncologists in their diagnoses.
First Approach to Automatic Measurement of Frontal Plane Projection Angle Dur...Oresti Banos
Knee alignment measurements are one of the most extended indicators of knee-complex injuries such as anterior cruciate ligament injury and patellofemoral pain syndrome. The Frontal Plane Projection Angle (FPPA) is widely used as a 2-D estimation of knee alignment. How- ever, traditional procedures to measure this angle suffer from practical limitations, which leads to huge time investments when evaluating mul- tiple subjects. This work presents a novel video analysis system aimed at supporting experts in the dynamic measurement of the FPPA in a cost-effective and easy way. The system employs Kinect V2 depth sensor to track reflective markers attached to the patient leg joints to provide an automatic estimation of the angle formed by the hip, knee and ankle joints. Information registered by the sensor is processed and managed by a computer application that simplifies expert’s work and expedites the analysis of the test results.
High-Level Context Inference for Human Behavior IdenticationOresti Banos
This work presents the Mining Minds Context Ontology, an
ontology for the identification of human behavior. This ontology comprehensively models high-level context based on low-level information, including the user activities, locations, and emotions. The Mining Minds Context Ontology is the means to infer high-level context from the low-level information. High-level contexts can be inferred from unclassified contexts by reasoning on the Mining Minds Context Ontology. The Mining Minds Context Ontology is shown to be flexible enough to operate in real life scenarios in which emotion recognition systems may not always be available. Furthermore, it is demonstrated that the activity and the location might not be enough to detect some of the high-level contexts, and that the emotion enables a more accurate high-level context identification. This work paves the path for the future implementation of the high-level context recognition system in the Mining Minds project.
On the Development of A Real-Time Multi-Sensor Activity Recognition SystemOresti Banos
There exist multiple activity recognition solutions offering
good results under controlled conditions. However, little attention has been given to the development of functional systems operating in realistic settings. In that vein, this work aims at presenting the complete process for the design, implementation and evaluation of a real-time activity recognition system. The proposed recognition system consists of three wearable inertial sensors used to register the user body motion, and a mobile application to collect and process the sensory data for the recognition of the user activity. The system not only shows good recognition capabilities after online evaluation but also after analysis at runtime. In view of the obtained results, this system may serve for the recognition
of some of the most frequent daily physical activities.
Facilitating Trunk Endurance Assessment by means of Mobile Health TechnologiesOresti Banos
Trunk endurance tests are widely used in physical medicine to assess the muscle status of people affected by low back pain. Nevertheless, traditional evaluation procedures suffer from practical limitations, which can lead to potential misdiagnoses. This work presents mDurance, a novel mobile health system aimed at supporting specialists in the functional assessment of trunk endurance by using wearable and mobile devices. The system makes use of a wearable inertial sensor to track the patient trunk posture, while portable electromyography sensors are employed to seamlessly measure the electrical activity produced by the trunk muscles. The information registered by the sensors is processed and managed by a mobile application that facilitates the expert normal routine, while reducing the impact of human errors and expediting the analysis of the test results. The reliability and usability of mDurance is proved through a case study, thus demonstrating its potential interest for regular physical therapy routines.
Mining Human Behavior for Health PromotionOresti Banos
The monitoring of human lifestyles has gained much attention in the recent years. This work presents a novel approach to combine multiple context-awareness technologies for the automatic analysis of people’s conduct in a comprehensive and holistic manner. Activity recognition, emotion recognition, location detection, and social analysis techniques are integrated with ontological mechanisms as part of a framework to identify human behavior. Key architectural components, methods and evidences are described in this paper to illustrate the interest of the proposed approach.
Multiwindow Fusion for Wearable Activity RecognitionOresti Banos
The recognition of human activity has been extensively
investigated in the last decades. Typically, wearable sensors are used to register body motion signals that are analyzed by following a set of signal processing and machine learning steps to recognize the activity
performed by the user. One of the most important steps refers to the signal segmentation, which is mainly performed through windowing approaches. In fact, it has been proved that the choice of window size directly conditions the performance of the recognition system. Thus, instead of limiting to a specific window configuration, this work proposes the use of multiple recognition systems operating on multiple window sizes. The suggested model employs a weighted decision fusion mechanism to fairly leverage the potential yielded by each recognition system
based on the target activity set. This novel technique is benchmarked on a well-known activity recognition dataset. The obtained results show a significant improvement in terms of performance with respect to common systems operating on a single window size.
Mining Minds: an innovative framework for personalized health and wellness su...Oresti Banos
The world is witnessing a spectacular shift in the delivery of health and wellness care. The key ingredient of this transformation consists in the use of revolutionary digital
technologies to empower people in their self-management as well as to enhance traditional care procedures. While substantial domain-specific contributions have been provided to that end in the recent years, there is a clear lack of platforms that may orchestrate, and intelligently leverage, all the data, information and knowledge generated through these technologies. This work presents Mining Minds, an innovative framework that builds on the core ideas of the digital health and wellness paradigms to enable the provision of personalized healthcare and wellness support. Mining Minds embraces some of the currently most prominent digital technologies, ranging from Big Data and Cloud Computing to Wearables and Internet of Things, and state-of-the-art concepts and methods, such as Context-Awareness, Knowledge Bases or Analytics, among others. This paper aims at thoroughly describing the efficient and rational combination and interoperation of these modern technologies and methods through Mining Minds, while meeting the essential requirements posed by a framework for personalized health and wellness support.
A Novel Watermarking Scheme for Image Authentication in Social NetworksOresti Banos
This paper presents a novel watermarking scheme for authentication of digital color images in social networks. The procedure consists of the embedding of a binary watermark image, containing the owner information, into the image to be authenticated. In order to minimize the artifacts in the host image the process is carried out in the wavelets domain. Concretely, the watermark embedding is performed in the HL4 and LH4 sub-band coefficients of the red, green and blue channels of the original image, based on an optimal channel selection quantization technique. To ensure a high robustness to tampering and malicious attacks a key-based pixel shuffling mechanism is further used. The reverse process is likewise identified for the extraction of the watermark from the authenticated image. Both embedding and extraction procedures are benchmarked on diverse color images and under the effects of different types of attacks, including geometric, non-geometric, and JPEG compression transformations. The proposed scheme proves to support imperceptible watermarking, while also showing a high resiliency to common image processing operations.
mHealthDroid: a novel framework for agile development of mobile health appli...Oresti Banos
Mobile health is an emerging field which is attracting much
attention. Nevertheless, tools for the development of mobile health applications are lacking. This work presents mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of biomedical apps. The framework is devised to leverage the potential of mobile devices like smartphones or tablets, wearable sensors and portable biomedical devices. The framework provides functionalities for resource and communication abstraction, biomedical
data acquisition, health knowledge extraction, persistent data storage, adaptive visualization, system management and value-added services such as intelligent alerts, recommendations and guidelines.
Sistema automático para la estimación de la presión arterial a partir de pará...Oresti Banos
El documento describe un estudio para desarrollar un método no invasivo para estimar la presión arterial de forma continua. Se analizan señales fisiológicas de pacientes hospitalizados para definir modelos de estados hemodinámicos. El documento también discute bases de datos públicas de registros médicos y el preprocesado de señales para eliminar artefactos, incluyendo un filtrado basado en wavelets.
Diseño e implementación de técnicas de monitorización indoor en e-saludOresti Banos
El documento describe un estudio para desarrollar una metodología para el reconocimiento de actividades físicas cotidianas mediante el uso de acelerómetros. Se propone una metodología en cinco fases que incluye el análisis de señales, extracción de características, selección de características, clasificación y pruebas para evaluar los resultados y seleccionar el mejor modelo de clasificación.
Reconocimiento automático de la actividad física diaria aplicado a contextos ...Oresti Banos
La globalización e innovación han transformado la atención médica de una interacción personal a una continua e independiente del espacio. Las enfermedades también han evolucionado de agudas a crónicas mientras la población envejece rápidamente. El documento describe un estudio para desarrollar una metodología para reconocer actividades mediante el uso de acelerómetros, con el objetivo de mejorar resultados en monitoreo supervisado y no supervisado para diferentes aplicaciones como teleasistencia y deportes.
Handling displacement effects in on-body sensor-based activity recognitionOresti Banos
So far little attention has been paid to activity recognition systems limitations during out-of-lab daily usage. Sensor displacement is one of these major issues, particularly deleterious for inertial on-body sensing. The effect of the displacement normally translates into a drift on the signal space that further propagates to the feature level, thus modifying the expected behavior of the predened recognition systems. On the use of several sensors and diverse motion-sensing modalities, in this paper we compare two fusion methods to evaluate the importance
of decoupling the combination process at feature and classication levels under realistic sensor congurations. In particular a 'feature fusion' and a 'multi-sensor hierarchical-classifier' are considered. The results reveal that the aggregation of sensor-based decisions may overcome the
difficulties introduced by the displacement and confirm the gyroscope as possibly the most displacement-robust sensor modality.
This presentation illustrates part of the work described in the following articles:
* Banos, O., Damas, M., Pomares, H., Rojas, I.: Handling displacement effects in on-body sensor-based activity recognition. In: Proceedings of the 5th International Work-conference on Ambient Assisted Living an Active Ageing (IWAAL 2013), San José, Costa Rica, December 2-6, (2013)
* Banos, O., Damas, M., Pomares, H., Rojas, I. On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition. Sensors, vol. 12, no. 6, pp. 8039-8054 (2012)
Activity recognition based on a multi-sensor meta-classifierOresti Banos
Ensuring ubiquity, robustness and continuity of monitoring
is of key importance in activity recognition. To that end, multiple sensor congurations and fusion techniques are ever more used. In this paper we present a multi-sensor meta-classier that aggregates the knowledge of several sensor-based decision entities to provide a unique and reliable activity classication. This model introduces a new weighting scheme which improves the rating of the impact that each entity has on the decision fusion process. Sensitivity and specicity are particularly considered as insertion and rejection weighting metrics instead of the overall accuracy classication performance proposed in a previous work. For the sake of comparison, both new and previous weighting models together with feature fusion models are tested on an extensive activity recognition
benchmark dataset. The results demonstrate that the new weighting scheme enhances the decision aggregation thus leading to an improved recognition system.
This presentation illustrates part of the work described in the following articles:
* Banos, O., Damas, M., Pomares, H., Rojas, F., Delgado-Marquez, B. & Valenzuela, O.
Human activity recognition based on a sensor weighting hierarchical classifier.
Soft Computing - A Fusion of Foundations, Methodologies and Applications, Springer Berlin / Heidelberg, vol. 17, pp. 333-343 (2013)
* Banos, O., Damas, M., Pomares, H., Rojas, I.: Activity recognition based on a multi-sensor meta-classifier. In: Proceedings of the 2013 International Work Conference on Neural Networks (IWANN 2013), Tenerife, Spain, June 12-14, (2013)
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Authoring a personal GPT for your research and practice: How we created the Q...Leonel Morgado
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Measuring human behaviour to inform e-coaching actions
1. 1
@orestibanos
Oresti Banos
October 29, 2020
oresti@ugr.es
@orestibanos
http://orestibanos.com/
Measuring human behavior
to inform e-coaching actions
Workshop on Multimodal e-Coaches
ACM Conference on Multimodal Interaction (ICMI 2020)
Utrecht, Netherlands
2. 2
@orestibanos
PRESENTATION
ABOUT ME
Oresti Banos
Research Center for Information and
Communication Technologies
University of Granada
oresti@ugr.es
@orestibanos
http://orestibanos.com/
Research:
• smart mobile sensing
• holistic behaviour modelling
• virtual coaching systems
4. 4
@orestibanos
COACHING
WE ARE IN THE NEED OF HELP
Multiple theoretical frameworks
try to explain why humans break or follow
established patterns of action (e.g. Social Cognitive
Theory, Goal-Setting Theory, Transtheoretical Model).
Transforming these theories into practice is
difficult, especially in an era in which
human attention span and ability to
be self-reflective are diminished.
Imperative to find effective new means for raising
public awareness and changing behavior in order to
improve our ability to remain active, healthy, and
resilient
(IEEE Computer Magazine, Banos & Nugent. 2018)
5. 5
@orestibanos
E-COACHING
DEALING WITH THE INHERENTLY COMPLEX NATURE OF COACHING HUMANS
E-coaching is an emerging computing area in which
intelligent systems are used to encourage progress
toward specific health-related goals by providing
tailored training and guidance.
As intelligent systems, e-coaches exhibit abilities
similar to those of their human counterparts
• sensing (observing, listening, questioning)
• learning (acquiring knowledge, understanding)
• actuating (reasoning, clarifying, advising)
(IEEE Computer Magazine, Banos & Nugent. 2018)
7. 7
@orestibanos
HOW TO SENSE BEHAVIOUR?
SMARTPHONE AS A (GREAT) SENSOR
Sensing Human Behavior
In the wild – Naturalistic Sensing
Large groups – Crowd Sensing
Multiple dimensions – Holistic Sensing
8. 8
@orestibanos
SENSING HUMAN BEHAVIOUR
PHYSICAL ACTIVITY
(Nature, Althoff et al. 2017)
(Sensors, Hur et al. 2017)
(CHI, Min et al. 2014)
(Neurocomp., Reyes et al. 2016)
(Procedia Comp. Sci., Bayat et al. 2014)
17. 17
@orestibanos
BEHAVIOUR SENSING FRAMEWORKS
COUNCIL-OF-COACHES
(UCAmI, Konsolakis et al. 2019)
https://github.com/AgentsUnited
Web Server
Sensor Data
Apache
Ubuntu
14.04
Python 3.5
data
acquisition
raw data
Behaviour DB
processed
data
short-term & long term
behaviour
behaviour changes
&
statistics
behaviour
detector
Shared
Knowledge Base
data acquisition virtual sensing
information
Holistic Behaviour Analysis Framework
End User
answers
questions
Coach-as-a-Sensor
data acquisition
Fitbit API
18. 18
@orestibanos
CONCLUSIONS
TAKE HOME MESSAGE
Effective e-coaching systems require a solid understanding of the
users’ behaviour.
Measuring human behaviour is now more than ever possible as a
result of an increasingly richer sensor ecosystems, the most powerful
possibly being our own smartphones.
Creative measurement approaches are nevertheless needed due to
the complexity, randomness and diversity of behaviours.
Behaviour sensing frameworks can facilitate the realisation of
experiments and collection of multiple data types to measure
behaviour holistically, continuously and opportunistically.
19. 19
@orestibanos
Oresti Baños
Room 26 (2nd floor), Faculty
ETSIIT, University of Granada,
E-18071 Granada, Spain
Phone
(+34) 958248598
Email / Web
oresti@ugr.es
http://orestibanos.com/
MANY THANKS!
CONTACT:
Editor's Notes
(IEEE Computer Magazine, Banos & Nugent. 2018) Banos, O., Nugent, C. E-Coaching for Health. Computer, vol. 51, no. 3, pp. 12-15 (2018)
This is by far the most widely explored application of smartphones in what concerns human behaviour measurement:
(Procedia Comp. Sci., Bayat et al. 2014) A Study on Human Activity Recognition Using Accelerometer Data from Smartphones
3D acceleration
(Neurocomputing, Reyes et al. 2016) - Transition-Aware Human Activity Recognition Using Smartphones
Detecting transitions like sit-to-stand, stand-to-sit, sit-to-bed, etc.
(Sensors, Hur et al. 2017) Smartphone Location-Independent Physical Activity Recognition Based on Transportation Natural Vibration Analysis
We recognize those activities by analyzing the vibrations of the vehicle in which the user is traveling.
We extract natural vibration features of buses and subways to distinguish between them and address the confusion that can arise because the activities are both static in terms of user movement
(CHI, Min et al. 2014) - Toss 'n' turn: smartphone as sleep and sleep quality detector
- Data: one-month field trial with 27 participants sensor data that might be relevant to sleep and sleep quality including:
sound amplitude (via the microphone), light (via the ambient light sensor), and movement (via the accelerometer). Light intensity may be less reliable as people keep phones in pockets and bags. Therefore, we also collected screen proximity sensor values.
Device states, such as screen on/off, processes (apps running on the phone), and the battery-charging state are also potentially informative in detecting sleep. For example, screen on (using the phone) is a good signal that a person is probably not asleep, but the screen is also sometimes automatically turned on for incoming calls or text messages, and by notification alarms from apps. Thus, other data, such as motion, should be used with the screen state to detect people’s actual use of device. People often charge their phone before going to bed, and they often use the phone as an alarm clock. Both provide clues about bedtime and waketime
Figure: Phone status values (the upper graph), sensor values (the lower graph), and sleep (the range in both upper and lower graph with the green shaded background)
(Nature, Althoff et al. 2017) - Large-scale physical activity data reveal worldwide activity inequality
Activity inequality
Dataset consisting of 68 million days of physical activity for 717,527 people, giving us a window into activity in 111 countries across the globe. Argus app was used for data collection (step counts).
We find inequality in how activity is distributed within countries and that this inequality is a better predictor of obesity prevalence in the population than average activity volume.
Reduced activity in females contributes to a large portion of the observed activity inequality.
Aspects of the built environment, such as the walkability of a city, are associated with a smaller gender gap in activity and lower activity inequality.
In more walkable cities, activity is greater throughout the day and throughout the week, across age, gender, and body mass index (BMI) groups, with the greatest increases in activity found for females.
Our findings have implications for global public health policy and urban planning and highlight the role of activity inequality and the built environment in improving physical activity and health.
(Perv. & Mob. Comp., Vu et al. 2015) - Characterizing and modeling people movement from mobile phone sensing traces
(Mobile Netw. Appl., Lane et al. 2014) - BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing
(Perv. & Mob. Comp., Vu et al. 2015): from March 2010 to August 2010, we conducted three rounds of experiments with 123 participants at the University of Illinois. Our participants included grads, undergrads, faculties, and staffs. The first experiment lasted 19 days, the second was 38 days, and the third was 85 days. The number of scanned WiFi MACs and Bluetooth MACs of the third experiment were fewer than the second experiment (although the third experiment was much longer) since the third experiment was conducted during the summer break with fewer classes and students on campus.
Fig. 7(a) shows the first contact pattern in which people usually have a considerably higher number of contacts during the weekdays than the weekends. This is the most common contact pattern found in our sensing traces since most people perform the casual routines at work for the weekdays when they make contacts with many more people. Working people usually spend time with family or for personal things at weekends and thus they meet fewer people. In contrast, Fig. 7(b) shows an opposite contact pattern in which people make more contacts during the weekends than the weekdays. This pattern does not appear frequently in our traces, however it exists. The third contact pattern exists for people who have the busiest schedule in the middle of the week as shown in Fig. 8(a). This figure looks similar to the bell shape and people with this pattern usually meet many more people during midweek. The last contact pattern is the most steady one as shown in Fig. 8(b). People, who belong to this pattern, make a similar number of contacts everyday, regardless of weekdays or weekends.
(Mobile Netw. Appl., Lane et al. 2014) - Changes in social isolation based on the total duration of ambient speech during a day. This is estimated from the output of a speech/ nonspeech classifier using the phone’s microphone. (Audio isn’t recorded on the phone or the cloud for privacy reasons.). We rely on studies that connect social isolation and social support to psychological well-being, with low levels being linked with symptoms such as depression. We experimentally develop a scoring system using field trials to determine the typical daily quantities of speech encountered by people within the study. In addition to conversation, the social interaction dimension also considers the use of social applications on the phone (such as Facebook, voice calls, and email) when computing a composite sociability score for the user.
(Ubicomp, Rachuri et al. ) EmotionSense: A Mobile Phones Based Adaptive Platform for Experimental Social Psychology Research
(Ubicomp, Pielot et al. 2015) - When attention is not scarce - detecting boredom from mobile phone usage
To identify, which usage patterns are indicative for boredom, we logged phone usage patterns of 54 volunteers for 2 weeks. At the same time, we asked them to frequently report how bored they felt. We found that patterns around the recency of communication activity, context (hour of the day and proximity sensor), demographics, and phone usage intensity were related to boredom.
Boredom correlated with more time having passed since the last incoming communication, and less time passed since the user last initiated outgoing communication via calls, SMS, and messages. This finding suggests that being contacted by others is generally correlated with being less bored. Contacting others, however, is more likely to happen while being bored.
Boredom further correlated with the intensity of mobile phone use. The higher the usage intensity, the higher the boredom. This confirms observations in previous works that people use their mobile phones when bored to kill time.
Boredom positively correlated with the time of the day and darker ambient lighting conditions. This finding means that there are boredom levels vary throughout the day. Moreover, in contrast to Mark et al. [23] who found that boredom is lower during late working hours, our results include after-work hours, and indicate that boredom tends to increase as the day progresses.
Boredom correlated with demographics. Boredom tended to be higher for male participants, and higher for participants in their 20s and 40s and lower in their 30s. This findings are in line with previous work which found that age [36] and gender [2] are significant predictors of experiencing boredom in leisure time
In a follow-up study they monitored 22 participants including daily mobile phone usage patterns, such as, the average number of apps started in a day or the variance of the amount of notifications received per day Individuals with high boredom proneness were having more unstable daily phone usage patterns: they launched a higher number of apps per day, had strong peaks of social network activity, and turned on the phone a lot. However, surprisingly, the overall time of using the phone was not higher than for individuals with lower boredom proneness. Boredom proneness is related to a number of negative outcomes, such as depression, drug & alcohol consumption, or anxiety.
(Ubicomp, Mehrotra et al. 2017) MyTraces: Investigating Correlation and Causation between Users’ Emotional States and Mobile Phone Interaction
Performed a causality analysis between users’ behavior and mood and mobile phone interaction in terms of notification response, application usage and communication patterns. We collected 5,118 responses to questionnaires for logging users’ emotional states (namely, activeness, happiness and stress) from 28 users over a period of 20 days.
Data:
Notification Arrival time, seen time and removal time, alert type (sound, vibrate and flashing LED), user’s response (click or dismiss), sender application name and notification title. Context Physical activity and location. Communication Time, type and sender/recipient of calls and SMSs. Phone Usage Lock/unlock event, single click, long click, scrolls and usage time of all foreground applications (including home screen).
Findings:
- stressful situations people become more attentive: this results in a lower notification response time.
people use their phone more when they are active and less when they are happy
W.r.t. usage of specific apps and emotional states, we have shown that the increase in users’ activeness level reduces the usage of music app. as the stress level increases the usage of communication and lifestyle apps decreases.
socializing makes people happier and traveling reduces their stress
(MobileHCI, Gosh et al. 2017) TapSense: Combining Self-Report Patterns and Typing Characteristics for Smartphone based Emotion Detection
Like speed (turns to be the most prevalent feature), typing session duration, number of mistakes, special characters used, are inferred from typing sessions as to identify happy, sad, stressed, and relaxed states
(Ubicomp, Abdullah et al. 2016) Cognitive rhythms: Unobtrusive and continuous sensing of alertness using a mobile phone
Validation with a Psychomotor Vigilance Task (which is the gold standard to measure sleepiness; smartphone validated version). It measures your alertness/sustained attention using a 2-minute task: shows a visual stimulus at random intervals to the user, who responds by touching the screen.
Shows that alertness can oscillate approximately 30% depending on time and body clock type (circadian rhythms ) and that Daylight Saving Time (practice of advancing clocks during summer), hours slept, and stimulant intake can influence alertness. When more alert, participants checked their phones frequently but for shorter lengths of time, while during low alertness, participants engaged in more sustained use.
(J. Amb. Intel. & Hum. Comp, Wohlfahrt-Laymann et al. 2018) MobileCogniTracker: A mobile experience sampling tool for tracking cognitive functioning
Create digital version of cognitive test and schedule and assess these remotely.
MMSE assesses:
- spatial and temporal orientation by asking the patient to correctly identify the current time (year, season, date, day, and month) and location (state, county, town, hos- pital, and floor)
Attention and calculation by asking participants to subtract 7 from 100 five times, or alternatively to spell the word “world” backwards
Memory: recall three objects from the registration part
Language: naming (subjects are asked to name two objects), reading (subject are asked to read and follow a command), writing (subjects are to write a sentence of their choosing), copying (subjects are asked to copy intersecting pentagons)
(Biomedical Engineering Online, Banos et al. 2015) Banos, O., Villalonga, C., Garcia, R., Saez, A., Damas, M., Holgado-Terriza, J.A., Lee, S., Pomares, H. and Rojas, I., 2015. Design, implementation and validation of a novel open framework for agile development of mobile health applications. Biomedical engineering online, 14(2), p.S6.
https://github.com/RADAR-base
(Int. J. Distr. Sens. Netw., Felix et al. 2019) Felix, I.-R., Castro, L.-A., Rodriguez, L.-F., Banos, O. Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns. International Journal of Distributed Sensor Networks, vol. 15, no. 9, pp. 1-17 (2019)
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(Int. J. Distr. Sens. Netw., Felix et al. 2019) Felix, I.-R., Castro, L.-A., Rodriguez, L.-F., Banos, O. Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns. International Journal of Distributed Sensor Networks, vol. 15, no. 9, pp. 1-17 (2019)
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(Sensors, Banos et al. 2016) Banos, O., Villalonga, C., Bang, J. H., Hur, T. H., Kang, D., Park., S.-B., Hyunh-The, T., Vui, L. B., Amin, M.-B., Razzaq, M.-A., Ali Khan, W., Hong, C.-S., Lee, S. Human Behavior Analysis by means of Multimodal Context Mining. Sensors, vol. 16, no. 8, pp. 1-19 (2016)
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(ICT4AWE, op den Akker et al. 2018) op den Akker, H., op den Akker, R., Beinema, T., Banos, O., Heylen, D., Bedsted, B., Pease, A., Pelachaud, C., Traver-Salcedo, V., Kyriazakos, S., Hermens, H. Council of Coaches - A Novel Holistic Behavior Change Coaching Approach. ICT for Ageing Well (ICT4AWE 2018), Funchal, Portugal, March 22-23, (2018).
(UCAmI., Konsolakis et al. 2019) Konsolakis, K., Hermens, H., Banos, O. A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour. International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2019), Toledo, Spain, December 2-5, (2019)