This document outlines Pedro Valente's PhD thesis defence on developing technological solutions to support elderly care. The thesis examines challenges of an aging population in Denmark and explores ambient assisted living and the IntelliCare research project. The IntelliCare project aims to develop a common technological platform to support independence, sharing of knowledge, and coordination between stakeholders in elderly care. The thesis formulates the problem of enabling context-aware and autonomous systems to provide customized services that improve quality of life and quality of care for elderly users over time.
First presented at http://www.e2conf.com/virtual/
The value of Social Analytics can be surfaced in many ways. Sometimes is quite visual like a leader board that helps motivate participation. Other times it's behind the scenes like the algorithms used to recommend groups to join or pages to read. Either way, social analytics can help you make better informed decisions, provide more relevancies to your interactions and ultimately help you get you and your company be more successful. This session will take a look at some of the real world implementations of social analytics available today from many of the social business vendors. We'll talk about the trends in this space and discuss some of the possible future directions.
Oplægget blev holdt ved InfinIT-arrangementet "Temadag om personas" afholdt den 2. maj 2012.
Læs mere om arrangementet på http://www.infinit.dk/dk/hvad_kan_vi_goere_for_dig/viden/reportager/brugeren_som_persona.htm
See how Social Analytics can help employees discover the content, colleagues and communities that can help them Get Work Done.
Note: originally posted here: http://www.slideshare.net/alanlepofsky/social-analytics-in-the-enterprise
Note: some of the fonts/text seem to have been messed up during the conversation to SlideShare. ex: Slide 30 should say "Content".
Taking the Training Wheels Off Social SoftwareAlan Lepofsky
The Shift From Sharing To Getting Work Done
Over the last few years employees have slowly grown accustomed to using social software at work. Actions such as posting status updates, sharing links to web sites and publishing personal blogs have provided great starting points for getting people engaged, but now it's time for employees to start using social software to help Get Work Done. In this session we'll discuss the growing trends of using social tools for task/project management and integration of social elements into core-businesses process. You'll hear how departments such as Human Resources, Marketing and Support can use social technologies to improve the way people work. Topics will include social/workforce analytics, social media monitoring, mobile devices and gamification. It's time to take social software from a tool for sharing to a key contributor of company success.
Presented at E2Conf Boston by
Alan Lepofsky and Yvette Cameron of Constellation Research
First presented at http://www.e2conf.com/virtual/
The value of Social Analytics can be surfaced in many ways. Sometimes is quite visual like a leader board that helps motivate participation. Other times it's behind the scenes like the algorithms used to recommend groups to join or pages to read. Either way, social analytics can help you make better informed decisions, provide more relevancies to your interactions and ultimately help you get you and your company be more successful. This session will take a look at some of the real world implementations of social analytics available today from many of the social business vendors. We'll talk about the trends in this space and discuss some of the possible future directions.
Oplægget blev holdt ved InfinIT-arrangementet "Temadag om personas" afholdt den 2. maj 2012.
Læs mere om arrangementet på http://www.infinit.dk/dk/hvad_kan_vi_goere_for_dig/viden/reportager/brugeren_som_persona.htm
See how Social Analytics can help employees discover the content, colleagues and communities that can help them Get Work Done.
Note: originally posted here: http://www.slideshare.net/alanlepofsky/social-analytics-in-the-enterprise
Note: some of the fonts/text seem to have been messed up during the conversation to SlideShare. ex: Slide 30 should say "Content".
Taking the Training Wheels Off Social SoftwareAlan Lepofsky
The Shift From Sharing To Getting Work Done
Over the last few years employees have slowly grown accustomed to using social software at work. Actions such as posting status updates, sharing links to web sites and publishing personal blogs have provided great starting points for getting people engaged, but now it's time for employees to start using social software to help Get Work Done. In this session we'll discuss the growing trends of using social tools for task/project management and integration of social elements into core-businesses process. You'll hear how departments such as Human Resources, Marketing and Support can use social technologies to improve the way people work. Topics will include social/workforce analytics, social media monitoring, mobile devices and gamification. It's time to take social software from a tool for sharing to a key contributor of company success.
Presented at E2Conf Boston by
Alan Lepofsky and Yvette Cameron of Constellation Research
The Deschutes Economic Alliance is a grassroots effort organized by a diverse group of local, private-sector business and community leaders who seek an objective, coherent vision for the economic future of Deschutes County—a vision which builds on our regional strengths, but provides greater economic stability for sustainable growth.
These days everything in software is being referred to as "social"; social business, social enterprise, social networking, etc. But social features are not perfect for all situations nor do they social all our business needs. This presentation takes a look at several areas of social software and discusses problems with them and proposed solutions.
- Navigating the rapids of activity streams
- Aggregated Social vs. Integrated Social
- Don't forget the “me” in social media
- Social Task Management
- Analytics & Gamification
Brain, Body, and Bytes CHI 2010 Workshop PresentationsLennart Nacke
Brain and Body Interfaces (BBI) were discussed in this workshop. Its goal was to provide a platform for creating synergies between two related and emerging HCI disciplines (PC and BCI). Find out more at the workshop website: http://www.eecs.tufts.edu/~agirou01/workshop/
Presented by Anil Rathi at USC Marshall Grief Center for Entrepreneurial Leadership on November 1, 2012 in Los Angeles, CA for Corporate Entrepreneurship & Innovation class
Smart Growth and Health Care City – to live a healthier life trough preventive care
The 7th World Technopolis Association International Conference,
Industrial Technology Research Institute, Hsinchu City, Taiwan R.O.C
BigML's take on Big Data. University of Geneva, October 12, 2012.
In the "Big Data" era, rapidly and easily getting insights from your data or creating data-driven applications does not have to be painful. BigML shows how business managers, application developers, and data scientists can start building their own predictive models in a matter of minutes.
Presentation by Mr .Silas Olsson, “Health Access”, Sweden at the OECD LEED conference on "Demographic transition and ageing society - Implications for local labour markets" (Lodz, Poland), 21/-22 March 2013.
The Future of Sustainable Products and Services - Conference Day 1CSCP
Presentation shown at the international conference "The Future of Sustainable Products and Services" in Essen, Germany. 28-29 September 2009. Slides created by CSCP in Wuppertal, Germany.
The Future of Social in the Enterprise - by Alan Lepofsky and Dion HinchcliffeAlan Lepofsky
This presentation talks about the past, present and future of social software within the enterprise. DIon Hinchcliffe and I presented this at Salesforce Dreamforce 2012.
The Deschutes Economic Alliance is a grassroots effort organized by a diverse group of local, private-sector business and community leaders who seek an objective, coherent vision for the economic future of Deschutes County—a vision which builds on our regional strengths, but provides greater economic stability for sustainable growth.
These days everything in software is being referred to as "social"; social business, social enterprise, social networking, etc. But social features are not perfect for all situations nor do they social all our business needs. This presentation takes a look at several areas of social software and discusses problems with them and proposed solutions.
- Navigating the rapids of activity streams
- Aggregated Social vs. Integrated Social
- Don't forget the “me” in social media
- Social Task Management
- Analytics & Gamification
Brain, Body, and Bytes CHI 2010 Workshop PresentationsLennart Nacke
Brain and Body Interfaces (BBI) were discussed in this workshop. Its goal was to provide a platform for creating synergies between two related and emerging HCI disciplines (PC and BCI). Find out more at the workshop website: http://www.eecs.tufts.edu/~agirou01/workshop/
Presented by Anil Rathi at USC Marshall Grief Center for Entrepreneurial Leadership on November 1, 2012 in Los Angeles, CA for Corporate Entrepreneurship & Innovation class
Smart Growth and Health Care City – to live a healthier life trough preventive care
The 7th World Technopolis Association International Conference,
Industrial Technology Research Institute, Hsinchu City, Taiwan R.O.C
BigML's take on Big Data. University of Geneva, October 12, 2012.
In the "Big Data" era, rapidly and easily getting insights from your data or creating data-driven applications does not have to be painful. BigML shows how business managers, application developers, and data scientists can start building their own predictive models in a matter of minutes.
Presentation by Mr .Silas Olsson, “Health Access”, Sweden at the OECD LEED conference on "Demographic transition and ageing society - Implications for local labour markets" (Lodz, Poland), 21/-22 March 2013.
The Future of Sustainable Products and Services - Conference Day 1CSCP
Presentation shown at the international conference "The Future of Sustainable Products and Services" in Essen, Germany. 28-29 September 2009. Slides created by CSCP in Wuppertal, Germany.
The Future of Social in the Enterprise - by Alan Lepofsky and Dion HinchcliffeAlan Lepofsky
This presentation talks about the past, present and future of social software within the enterprise. DIon Hinchcliffe and I presented this at Salesforce Dreamforce 2012.
O que é e como funciona a Internet das Coisas? contextualização do conceito de IoT para as areas de gestão e Marketing. Inserido no âmbito do ciclo de sessões temáticas 25mixedSession organizada pelo ISPAB
In this introductory lecture titled, "conceptualising and measuring human anxiety on the Internet" the audience is explained what new or interesting the dissertation has to offer and how it is connected to the human-computer interaction fields and to the society in general.
Wrap Up EBU Big Data and Society conference at RTBF - Day 2 (13 december 2016)IntoTheMinds
This is the wrap up of the first day of the EBU Big Data and Society conference that was held at RTBF on 12 and 13 december 2016.
This presentations sumps up the takeaways of the presentation by Jean-Paul Philippot, Prof. Wehenkel, Steven Bourke, Prof. Malthouse, PN Schwab, Evan Estola
A seminar I gave to the Department of Engineering and Innovation at The Open University on 22/01/16 where I introduced the concept of 'community owned solutions' and presented research on the identification, recording and sharing of community owned solutions through the use of emerging communication technologies, such as participatory video and community operated eco-drones. I also discussed a strategy for promoting research impact through the establishment of the 'Cobra Collective' - a social enterprise established to provide training, implementation and research for community owned solutions.
This presentation provides an overview of the Technology Enabled Knowledge Translation Investigative Centre (TEKTIC) research unit. Details about the development of the unit, findings from the specific research projects, and knowledge translation strategies were given by Jennifer Cordeiro on March 17, 2011, to an eHIPP academic rounds session.
The three Finalists were:
*WEKIT — Wearable Experience for Knowledge Intensive Training — pitch by Paul Lefrere, Innovation Lead
*Sapien Labs (WINNER) — pitch by Tara Thiagarajan, Founder & Chief Scientist
*MyndYou — pitch by Shira Yama Nir, Project Manager
*Judged by: Bill Tucker, Senior Advisor to the K12 Education Program at the Bill & Melinda Gates Foundation; Eduardo Briceño, CEO and Co-founder of Mindset Works; John Cammack, Angel Investor; Neil Allison, Director of Business Model Innovation at Pearson North America
*Álvaro Fernández, CEO and Editor-in-Chief of SharpBrains
*Sarah Lenz Lock, Senior Vice President for Policy at AARP and Executive Director of the Global Council on Brain Health (GCBH)
*Dr. April Benasich, Director of the Baby Lab at the Rutgers Center for Molecular and Behavioral Neuroscience
*Chaired by: Dr. Cori Lathan, Co-Chair of the World Economic Forum’s Council on the Future of Human Enhancement
Slidedeck supporting session held during the 2017 SharpBrains Virtual Summit: Brain Health & Enhancement in the Digital Age (December 5-7th). Learn more at: https://sharpbrains.com/summit-2017/
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
1. PhD Thesis Defence
Pedro Valente
(prnv@mmmi.sdu.dk)
The Maersk Mc-Kinney Moller Institute
Advisor: Kasper Hallenborg Co-Advisor: Luis Paulo Reis
Associate Professor Associate Professor
The Maersk Mc-Kinney Moller Institute DSI/School of Engineering
University of Southern Denmark University of Minho, Portugal
15/08/2012 1
2. Outline
3
What we
Learned!
2
What we • Summary
• Contribution
Construct! • Future Work
• Social Aspects:
Intelligent
1 Request
What we System
Know today!
• Danish Nursing
homes
•Elder Care + AAL + IntelliCare
•Motivation + Objectives
15/08/2012 2
3. Research What we What we What we
definition Know! Construct! Learned!
Ageing challenges
Number of Elders vs. Fertility Rate vs. Work force
Demographic factors:
Working age population (15-64 years) shrink: 5% by 2040
15% of Danes is 65+ (2007)
Earlier retirement (60-64 years): 60% is retired
Life expectancy at birth (2010-2015): 81.4(females) 76.7(males)
Social factors:
Workforce/retired persons ratio will pass in next 30 years from 4:1 to 2:1
3.8% of population received personal and practical help (2007)
Elderly: 80% live at home and 20% in nursing home
Goal: Create non-institutional supportive living arrangements, with different
levels of assistance
Sources:
The Long-Term Care System in Denmark, Schulz, E., 2010
Strategic Intelligence Monitor on Personal Health Systems phase 2 - Country Study Denmark, Nielsen, F. Claus et al., 2012
15/08/2012 3
4. Research What we What we What we
definition Know! Construct! Learned!
Ambient Assisted Living
Empowered the development of ICT-based solutions for the process of
ageing well at home, community and at work
Earlier Age Older Age
End-User Goals:
•
•
Quality of life
Autonomy ≈
• Social engagement User capabilities capabilities ICT
• Skills and employability support
Stakeholders Goals: Chronic
• Reduce health costs and social care Conditions
• Potentiate ICT R&D
• Improve conditions for a shared European framework
• Explore market segments, use cases and target groups Daily Life Social
Activities Interaction
• Address wishes and needs of end-users
AAL JP
Exploration fields: Topics
• ICT integration problem – Fragmentation
• ICT solutions replication
• End-Users commitment to presented solutions Self-serve
Mobility
Society
• Home Care vs. Institution Care
• Care Staff support solutions
source: http://www.aal-europe.eu/
15/08/2012 4
5. Research What we What we What we
definition Know! Construct! Learned!
IntelliCare Project
IntelliCare is a research project consortium supported by the Danish
Ministry of Science, since 2008.
• Different branches co-operating on several
The consortium technological development projects
consists of 12 partners • Cross-disciplinary research projects Partners
• Develop technological solutions
Purpose: • Create a common technological platform
• citizen’s freedom/mobility
• sharing of knowledge
Focus: • information amongst the carers
• scarce resources
T1: IntelliCare platform T2: Monitoring of activities T3: Collaboration and
• The objective is to build a middleware and modeling of behaviors coordination mechanisms
platform, which will integrate the • To meet the individuality of the users. • Some appliances, but primarily aid and
technologies and appliances of the care robots, need planning and
care environment. coordination mechanisms, because
they act autonomously in the care
environment.
source: http://www.intellicare.dk/
15/08/2012 5
6. Research What we What we What we
definition Know! Construct! Learned!
Problem Formulation
Able to work on high abstraction Context-aware Provide services to cope with
level • User interaction with environment artefacts user profile and status along
• User interaction among users (e.g. Staff (e.g. ADL activities) time and space
and Residents) • Quality of care vs. quality of life
• User interacts with the environment as a • Interfaces and interoperability between
whole
systems and appliances
• Collaborative decision making • Services and devices need to behave
autonomously
• Quality-improvement processes
Platform End-User
15/08/2012 6
7. Research What we What we What we
definition Know! Construct! Learned!
Objectives
Focus on activity context coordination Focus on activity coordination
System platform view: End-user view:
• Show pros/cons by using assistive
• Identify System stakeholders technologies
• Define orientations towards how System
• Define System stakeholders participation services interact with end-users
• View platform not only the sum of the parts, • Map users interactions, supported by user
profile (Staff, Residents)
but more than
Individual Social
aspects aspects
15/08/2012 7
8. Research What we What we What we
definition Know! Construct! Learned!
Considerations
• Layout ICT opportunities
• Elderly + Care Staff
• Activities
PART 1 – WHAT WE KNOW TODAY!
...presents Danish nursing home environment with a close view from resident
and care staff behaviours/testimonial, characterizing the person, activities and
social relationships. ICT opportunities also highlighted!
15/08/2012 8
9. Research What we What we What we
definition Know! Construct! Learned!
Layout considerations
Residents are
“A typical flat has one or
accommodated in “Flats lead on to the
two-rooms with
small groups, and communal kitchen and
bathroom and toilet in
each one live in a two- dinning room”
suite”
room flat
“Flat design privileged
function and was “Residents are
dominated by encouraged to decorate
considerations of their flat, bathroom
access and safety exception”
issues”
*Gurli-Vibeke nursing home map
15/08/2012 9
10. Research What we What we What we
definition Know! Construct! Learned!
Elderly considerations
Need to be more than “Elderly people had their
“They are very
65 years old, and own standards in the
emotional and sensitive
suffer from mental or home, which they
to everything”
bodily impairment wanted to preserve”
“They are in constant
“Most of them have
fear of falling, as they
reduced motor abilities
are unstable on their
and limited senses”
feet”
*Copenhagen nursing home staff team organization example
15/08/2012 10
11. Research What we What we What we
definition Know! Construct! Learned!
Care Staff considerations
Nurses, a physician and
Constituted by an a physiotherapist, “Each staff member has
“The heavy workload
highly interdisciplinary service and kitchen one or more residents to
occurs at certain periods
team of healthcare staff, volunteers, whom they are their
of the day”
professionals secretary, caretaker and contact persons”
nursing home director
“They expect from
“Providing care to nursing
residents that they also “Staff members don’t
home residents is
are understandable and spend much time talking
physically demanding
show empathy with their with elder persons”
work”
work”
*Copenhagen nursing home staff team organization example
15/08/2012 11
12. Research What we What we What we
definition Know! Construct! Learned!
Activities considerations
Cleaning, providing
medicine, delivering
“Assistance call from the “Assistance call examples:
laundry, help residents into
Residents. (Random toilet, insufficient light,
bed and with their toilet,
occurrence)” object lost and thirstiness”
providing meals - ADL
activities
“Nursing homes provides
“Although activities are “For resident perspective,
also special programs that
target to individual, they are activities can be associated
encompass a wide range of
arranged in group” with meal schedule”
activities and services”
15/08/2012 12
13. Research What we What we What we
definition Know! Construct! Learned!
ICT Opportunities
Tracking is a Translate informal
Institutions push Staff/Resident
common concern knowledge to
resident to: communication
for staff care formal
Maintain their active life,
providing privacy Resident preferences and
wishes
Residents
Ways to extend their
capabilities
Alarm buttons don’t provide
Help new staff members to
sufficient contextual
information about call nature retain environment routines
Transmit that they have a role
in the environment.
Assets
Activities are prepared to fulfil Identify new Resident
each individual, but are behaviour patterns
organized to maximize social
interactions
*Information collected via interviews and observation
at Kastanjehusene (Copenhagen) and Gurli-Vibeke nursing home (Odense)
15/08/2012 13
14. Research What we What we What we
definition Know! Construct! Learned!
Request System System
workflow Overview evaluation
process • Architecture • Quality of
Problem Solution • Sorting tasks • System A solution Service (QoS) Solution
Ontology Experiment • Quality of
Statement Design • Staff utility scenario Experience
Overview
function
• Allocating tasks (QoE)
• Task
commitment
PART 2 – WHAT WE CONSTRUCT!
... experiment conducted in a nursing home, representing a task request system.
User interfaces were designed along with activity process workflow to guide
requested tasks proposed by residents, to be delivered by care staff, optimizing
resource allocation, via pre-established policies. Focus on design evaluation and
user evaluation.
15/08/2012 14
15. Research What we What we What we
definition Know! Construct! Learned!
Problem statement
Assistance calls are a recurrent Issues with current assistance
action in nursing homes daily systems:
life. • Internal phones, alarm buttons or shouting
• Between staff members and with residents are common methods for residents alert
staff about their requests.
• Alarm buttons - Their simple interface and
design don’t provide contextual information
regarding type of request
• Each call is treated as an emergency!
It is imperative for the residents Elderly people are the
to receive a feedback from staff demographic group with less
member, to acknowledge their skills for ICT
request. • Search for devices compatible with their
• Without feedback, residents will continue ICT comprehension
to repeat same request action,
jeopardizing social balance
15/08/2012 15
16. Research What we What we What we
definition Know! Construct! Learned!
Solution Design
User Experience within HCI
• Improve User Quality of Experience(QoE)
• User interface and device feedback aim for “natural” and
“intuitive” interfaces, if compared with ordinary objects, i.e.
TV remote control
• Based on the work of Turkle et al.(2006), Savensted et
al.(2006), about ICT impact on elderly inside institutions
Action Process Workflow
• Establish individual action plans, based on historical data,
statistics user info and contextual data
• Improve Quality of Service (QoS)
• Based on Medina-Mora et al.(1992) business action-
based workflow
15/08/2012 16
17. Research What we What we What we
definition Know! Construct! Learned!
Request Workflow Process
Proposal:
• resident request
Agreement:
• mutual agreement on the
condition of satisfaction
Performance:
• staff declares the action is
complete
Satisfaction:
• resident declares action
satisfactory
Based on Action Workflow loop diagram, Medina-Mora et al. (1992)
15/08/2012 17
18. Research What we What we What we
definition Know! Construct! Learned!
Sorting Tasks
Resident use
Staff Institution use
System a 5 point
members System locks scale priority 3 point scale
personalize priority fine- priority – 1 Priority scale
tuning, based High priority – 1 (High)
Resident task level request (High) and 3 will height on
on individual and 5 (Low): Utility
priority task from (Low): gives
Residents gives more function
request, changing pragmatic
Occurrences preference
based on ICP expression selection
15/08/2012 18
19. Research What we What we What we
definition Know! Construct! Learned!
Staff Utility Function
Utility Function
•Priority request level 1 search for – staff
availability, proximity, as it as main role and
higher number of occurrences
15/08/2012 19
20. Research What we What we What we
definition Know! Construct! Learned!
Allocating tasks
Manager
Staff member interface example:
Proposal Message format:
15/08/2012 20
21. Research What we What we What we
definition Know! Construct! Learned!
Task commitment
Activity plan state diagram
Staff member use desktop interface to assist him during
task preparation
Resident history Resident
Institution Task
Task resources Resident profile log about that preferences and
procedures
request impairments
Reduce time to understand Resident wishes and preferences
Can be used by newer Staff members
Increase level of proximity between caregiver and care receiver
15/08/2012 21
22. Research What we What we What we
definition Know! Construct! Learned!
Architecture Overview
• Collect the request task from RFID agent
Patient- • Prioritize it with current pending requests
• Manage repetitive requests from patient
Agent • Send the request to Manager Agent
• Delivery feedback message to interface
agent
• Receive patient’s request
• Choose best staff solution for each request
Manager- • Manage system policies
Agent • Organize auctions
• Choose staff members to perform task
• Send feedback to patient
• Receive from manager agent, CFP for task
Staff- • Send task request info to interface agent
• Compute bid (max time to delivery) (Staff
Agent member via interface agent)
• Send bid to manager agent Based on previous experiment Agent based Architecture
conduct during AAL Forum 2010 – Information Extraction
• Schedule tasks to delivery System
15/08/2012 22
23. Research What we What we What we
definition Know! Construct! Learned!
System Ontology overview
Logical information Physical information
Room Position Activity
• Represent a location in • Expresse coordinates • Represent an activity
which a user can be which is used to define taking place can be
present, or where the boundaries of areas describe via ADL or
activities take place IADL classification
Schedule User
• Represent the overall • Represent users of
time schedule for all Request System, with
active request task and profile associated (ICP)
formal activities
15/08/2012 23
24. Research What we What we What we
definition Know! Construct! Learned!
A solution Scenario
The system is based on: Each resident will have
Staff members with
• RFID technology cards representing Resident put a specific
best profile to execute
request tag inside
• RTLS indoor location requests plastic container
task are inform, with
message on Badge tag
• Plug Computer • Pictures will represent the action
• Touch-Screen Pc
• Single-board computer
Each staff member
accepts/declines Staff member with
request, providing shorter delivery time is
Each resident will wear a Each Staff will wear a estimate time to assign to task
location tag location tag execute it.
• Wristband tag • Badge tag with two-way
communication
Resident is inform Staff member delivery
about who and When is request based on User
delivery request. profile
Kiosk (information
RFID readers will be
points) will be
hidden inside plastic
strategically installed on
container and be sorted Staff member report
common areas for staff on system any change
Staff close request
inside apartments ticker.
inquiry on that request
15/08/2012 24
25. Research What we What we What we
definition Know! Construct! Learned!
Experiment
Define 6 task
Use two residents
request
Use two staff Both share same
members nursing home floor
5 days experiment Observational
• First 2 days: Assist Staff analysis based on
• Last day: Interview staff • Resident behaviour
and residents • Location
• Required assistance
15/08/2012 25
26. Research What we What we What we
definition Know! Construct! Learned!
System evaluation - QoS
QoS - Concerns about system service quality
to maintain process workflow tide and
conflict-
conflict-free
System flexible to be extended
• Based on Agent-based architecture
• Common ontology
Location is a very important asset
• Understand social relationships among end-users
• Creates a temporal-spatial pattern
Capable of DSS with user representation
• Staff selection
QoS defined by contract between:
• Care Staff – Resident
Expressed via task request
• Staff task experience
• Resident feedback •*Staff 1 wins CFP
•30 second location frequency – 10 poses (5min)
Request system coexist with others
activities •Process efficiency relies on Staff reply capacity
• Can interfere on task execution
15/08/2012 26
27. Research What we What we What we
definition Know! Construct! Learned!
System evaluation - QoE
QoE - Concerns about end-user expectation and
end-
satisfaction against actions performed by the
Request System Expected time vs. Real time/Task – Resident 1
Request system coexist with
others activities
• Can interfere on task execution
Understanding behaviour from
both end-users help establish
quality metrics
• Delay times vs. Resident satisfaction
Request tasks are correlated and *Resident 1 uses request system as medication
engaged simultaneous (i.e. reminder/confirmation [2p.m. – 3:30p.m.]
4 times miscall detected by staff.
Medication and glass of water)
15/08/2012 27
28. Research What we What we What we
definition Know! Construct! Learned!
System evaluation – QoE(1)
Updates are
Tend to stabilize
registered in trial-
with time
error based
Task procedure update– Resident 1
Extend Staff
Allow keep an
perception
updated activity
towards resident
report
needs
Can express: Resident feels
•“What Resident intend” being taken in
•“What they consideration
have/receive” from all Staff
members
Resident
Delivery time is
satisfaction
reduced
increased
15/08/2012 28
29. Research What we What we What we
definition Know! Construct! Learned!
Overview
End-User
Preferences Acceptance
(user intention) (user expectation)
Context situation Assistance
(income) (outcome)
Platform
Proposed a solution to By structuring request
Update standard task Induce Resource User interfaces and
assist resident task process, staff reduce
requests uncertainty regarding procedures towards optimization Interaction allowed
Creating a request
workflow between Resident Reduce user
residents and Resident wishes Assets
preferences adaptation curve
staff members
Keep pattern
Resident Balance user
activity history Staff
(journaling) capabilities expectation
15/08/2012 29
30. Research What we What we What we
definition Know! Construct! Learned!
Summary Contributions Future Work
PART 4 – WHAT WE LEARNED!
... Reviews important issues discussed during the presentation, focusing on
research contribution to Research and nursing home environments. A proposed
platform component services are introduced as sum up of all work done,
enhancing possibilities for the future, as a logical continuation of this work.
15/08/2012 30
31. Research What we What we What we
definition Know! Construct! Learned!
Summary
Residents and Care staff Intelligent assistive When assistive
share same dynamic technologies are more technologies cannot
environment •Mature balance user disabilities
•Staff provides institutional services •Pervasive (blend with current home •Senior citizens move to a care
•Staff provide assistance for common layout) institution
tasks of daily-living •Normally all services are •Provide assistance services 24/7
•Resources are limited personalized to only one individual
Contextual information
Custom devices and ICT
need to be represented in
solutions need to be blend
different granularities for
with institutions ones (i.e.
services cope with different
Healthcare oriented)
users/situations
15/08/2012 31
32. Research What we What we What we
definition Know! Construct! Learned!
Contributions
Contributions Limitations
• Research work: • ICT solutions cannot be part of the
• Context problem, but part of the solutions:
• Environment • Understanding their role in care institution
• Users • Cooperation with care staff
• Relate several disciplines: • Cooperation with Service providers
• Health care • Residents with irrational behaviours
• Sociology (dementia)
• Usability • Nursing home Privacy and bureaucracy
• Interface design
• Software engineering
• IT
• Provide a statement what end-users can expect from
intelligent assistive solutions
• Define contextual model considerations:
• Technical
• social
• Define policies and process workflow for the request
task
• Contextualize Ambient Intelligent domain, from end-
users perspective
15/08/2012 32
33. Research What we What we What we
definition Know! Construct! Learned!
Future Work
Assistive platform for multiple activities
support with different types of - Components to explore
inputs/outputs
15/08/2012 33
34. Pedro Valente
(prnv@mmmi.sdu.dk)
The Maersk Mc-Kinney Moller Institute
Ack.:The presented work has been conducted under (Download Presentation slides)
IntelliCare project, which is supported by the Ministry of
Science, Technology and Innovation in Denmark
15/08/2012 34
35. Presentation Contents
•1- PhD research definition •3 - Social aspects: intelligent request system
• Overall Domain • Problem Statement
•Ageing Challenges • Solution Design
•AAL • Request workflow process
•Intellicare •Sorting tasks
• Problem Formulation •Staff utility function
• Objectives •Allocating tasks
•2 - Danish nursing homes •Task commitment
• Considerations • System Overview
•Layout •Architecture
•Elderly •System Ontology
•Care Staff • A solution scenario
•Activities • Experiment
• ICT opportunities • System evaluation
•Quality of Service (QoS)
•Quality of Experience (QoE)
• Solution Overview
•4 - Enclosures
• Summary
• Contributions
• Future work
15/08/2012 35
36. Parallel
Publications Presentations
Experiments
ADDITIONAL MATERIAL
(NOT PART OF PRESENTATION)
PRESENTATION)
15/08/2012 36