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Assessment and design frameworks for human-robot teams
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potential applications. In this paper, we argue that, in assistive
robotics, the other side of generality is limited applicability: it is
oftentimes more feasible to custom-design and evolve an
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pure bottom-up learn-through-deployment approach inspired by
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iteratively re-design a proof-of-concept robotic shopping cart for
the blind.
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Introduction and Human Information Processing lecture.pptPradeepJoshi88
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This document describes an ontology-based hybrid approach to activity modeling for smart homes. It discusses the limitations of existing data-driven approaches and proposes a hybrid knowledge-driven and data-driven approach. The proposed approach uses ontological engineering to create "seed" activity models, which are then deployed and incrementally evolved through activity discovery and model updates based on collected data. The approach was implemented in an assistive living system to test activity learning algorithms.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Intuitive and adaptive robotics arm manipulation using lmcQuân Lê
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Project number: 247765
Project acronym: VERITAS
Project full title: Virtual and Augmented Environments and Realistic User Interactions To achieve Embedded Accessibility DesignS
Starting date: 1 January 2010
Duration: 48 Months
VERITAS is an Integrated Project (IP) within the 7th Framework Programme, Theme FP7-ICT-2009.7.2, Accessible and Assistive ICT
http://veritas-project.eu/
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Applying user modelling to human computer interaction designNika Stuard
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IRJET- Human Activity Recognition using Flex SensorsIRJET Journal
This document discusses a system for human activity recognition using flex sensors. Flex sensors are attached to the body and can detect movements. The flex sensor data is fed into a neural network model to recognize activities. The model is trained using flex sensor data from various human activities. The trained model can then accurately recognize activities based on new flex sensor input data. The system is meant to help elderly people or those with disabilities by allowing them to control devices with body movements detected by flex sensors. It aims to provide a modular system that can adapt to new users and disabilities. Flex sensors make the system customizable while neural networks enable accurate activity recognition.
The document describes the ASTUTE project, which aims to improve usability of embedded systems using a probabilistic model to provide proactive decision support based on user state awareness. The project will capture context and user state data from sensors like EEG and ECG, process it using a context modeling engine and proactive decision engine, and provide assistance via multi-modal interfaces. A cognitive model will diagnose states like stress, mental workload, and fatigue based on sensor data and use contrasts to verify needed assistance is provided. Future work will expand the model with additional sensors, user states, and mobility support.
Our research aims to propose a global approach for specification, design and verification of context awareness Human Computer Interface (HCI). This is a Model Based Design approach (MBD). This methodology describes the ubiquitous environment by ontologies. OWL is the standard used for this purpose. The specification and modeling of Human-Computer Interaction are based on Petri nets (PN). This raises the question of representation of Petri nets with XML. We use for this purpose, the standard of modeling PNML. In this paper, we propose an extension of this standard for specification, generation and verification of HCI. This extension is a methodological approach for the construction of PNML with Petri nets. The design principle uses the concept of composition of elementary structures of Petri nets as PNML Modular. The objective is to obtain a valid interface through verification of properties of elementary Petri nets represented with PNML.
This document describes a tool developed to measure continuous complexity in software. The tool measures complexity along three dimensions: number of steps, number of context shifts, and working memory load. It provides faster feedback to developers during the development process. While focused on continuous complexity, it also allows developers to document cases of discontinuous complexity, where usability is severely hindered. The goal is to provide a practical way for developers to quantify and reduce complexity throughout the development cycle.
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 ...
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Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
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Ana Navarro - A New Approach Parameterization of Cognitive Disabilities
1. III Workshop
VERITAS project
FP7 247765
A New Approach Parameterization
of Cognitive Disabilities
Ana Navarro Cerdá
1/12/2011
11-12/01/2010 Kick-off meeting
WTHS’11 Brussels, Valencia
Belgium
2. A NEW APPROACH PARAMETERIZATION OF
COGNITIVE DISABILITIES
The main topics of the study:
1. The problem - Needs
2. VERITAS User Modeling Methodology
3. Abstract Cognitive User Models
4. The ACT-R research approach
5. Cognitive moderators in ACT-R: Disabilities as
overlays
6. Obtained Results
2 7. Conclusions
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3. THE PROBLEM – NEEDS (1/3)
In the EU 27 countries about 16% of the population are over 65, a number that is
estimated to rise rapidly in the coming years.
Up to 15% of the population across the European Union has a disability, such as a
visual, hearing, speech, cognitive, or motor impairment. Around 20% of people
over 50 experience severe physical disabilities
Spending on pensions, heath and long–term care will rise sharply over the next 20
years. Need to increase QoL, independence and autonomous living.
BUT: Currently, most applications, services, goods or infrastructures are not fully
accessible today, hindering the user’s autonomy.
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4. THE PROBLEM – NEEDS (2/3)
Current design and development process:
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5. THE PROBLEM – NEEDS (3/3)
5
How do we create VIRTUAL Models
that include disabilities?
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6. VIRTUAL USER MODELING METHODOLOGY (1/4)
The goal is to introduce simulation-based and virtual reality testing at
all stages of the design process in order to ensure that future products
and services can be “universally” used, including people with disabilities
and elders.
Representing the users with disabilities by modeling the users’ functional
and cognitive capabilities parameterization of the models.
VUM will be generated based on existing standards, metrics and
guidelines of user’s capabilities and with the measurements of users
obtained with the Multisensorial platform.
6
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7. VIRTUAL USER MODELING METHODOLOGY (2/4)
3 User Modeling perspectives: Physical,
Cognitive and Psychological and Behavioural.
The modeling process consists:
1. Abstract User Models Creation
2. Appropriate task models implementation based on
UIML/USIXML language
3. Interactive update and verification of the models
(with Multisensorial platform)
4. Generation of the Generic Virtual User
7
Models(GVUM)
5. Integration of the three perspectives.
6. Creation of the Virtual User Models.
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8. VIRTUAL USER MODELING METHODOLOGY (3/4)
Methodology to create the Virtual User models:
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9. VIRTUAL USER MODELING METHODOLOGY (4/4)
General User Modeling Steps:
1. Abstract User Model
Describes a disability
2. Generic Virtual User Model
Describes the set of users having a specific disability,
the affected primitive tasks with related parameters:
Binary (ex. Abnormal step rhythm: Yes)
Range of values (ex. Gait cycle [1.12, 3.22] sec)
3. Virtual User Model
An instance of a virtual user
Describes user’s disabilities,
9
the affected primitive tasks with the parameters for a
specific user
Binary (ex. Abnormal step rhythm: Yes)
Specific values (ex. Gait cycle : 2.1 sec)
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10. NEEDS FOR MODELING COGNITION &
PERCEPTION
A person with a cognitive disability have
difficulties to perform specific tasks:
People with Alzheimer/ Parkinson
lose the regular thinking abilities
remembering how to perform a simple
task becomes challenging, and some
times even impossible.
Cognitive aging implies in many
cases deterioration of many cognitive
functions. attention problems,
perception slows down, memory
10 issues.
To achieve “Universal”accessibility, these aspects
should be also integrated in the Virtual User Model.
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11. ABSTRACT COGNITIVE USER MODELS (1/2)
Should categorize the representative features of a cognitive disability
by:
Definitions
Types
Cognitive functional limitations/capabilities.
Relevant parameters
Metrics found in literature
Computational modelling approaches
Two main research activities:
Definition and parameterization of relevant cognitive processes in the
context of cognitive disabilities (Alzheimer/Parkinson/Cognitive Aging):
reaction time, memory, attention, perception, decision making &
speech.
11
Under the perspective of VERITAS domains (Automotive, Smart
Living Spaces, Workplaces, Infotainment and Healthcare), analysis of
existing approaches (mainly computational and cognitive architecture
models such as ACT-R, GOMS, Fuzzy Logic and Markov) ACT-R
selection as most promising cognitive architecture.
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12. ABSTRACT COGNITIVE USER MODELS (2/2)
Determine how cognitive disabilities affects on the
cognitive processes:
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13. ACT-R RESEARCH APPROACH (1/3)
Cognitive architectures are theories to simulate
and understand how human mind works, based
on cognitive psychological theories.
ACT-R uses a modular organization. The human
thinking and acting emerges from the interaction
of independent modules, related with specific
regions of the brain.
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14. ACT-R RESEARCH APPROACH (2/3)
The ACT-R structure
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15. ACT-R RESEARCH APPROACH (3/3)
ACT-R is a hybrid cognitive architecture:
symbolic structure: production system that allows
representing how a person performs a task; (if-then)
subsymbolic structure: a set of parallel processes
that represent how the different modules interact, that
can be summarized by mathematical equations with
parameters.
ACT-R allows the “customization” of new
situations, users and domains, by tunning the
intrinsecal parameters and the task models.
15
COGNITIVE & BEHAVIOURAL OVERLAYS
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16. COGNITIVE AND BEHAVIOURAL
OVERLAYS
An overlay is an adjustment to the parameter’s value or
mechanisms that influence all models implemented in the
architecture. The main idea of an overlay is to change
the architecture in a way that the behaviour of all models
developed under that architecture will be affected.
For example, caffeine can be
considered an overlay for our
brain: it modifies cognitive
functioning, increasing processing
16
speed by 3% and improving
vigilance by 30%.
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17. COGNITIVE MODERATORS IN ACT-R:
DISABILITIES AS OVERLAYS (1/2)
In ACT-R, an overlay will modify a combination of
parameters and mechanisms (subsymbolic
structure changes) to represent a specific situation
acting changes to information processing.
These theories are typically not cast as additions to
the knowledge necessary to perform a task, but
are described as changes to how people
process information under a specific situation
(ie: with a cognitive disability or under a
17
psychological state. )
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18. COGNITIVE MODERATORS IN ACT-R:
DISABILITIES AS OVERLAYS (2/2)
In the VERITAS case:
an analysis was performed to determine these
overlays: the values of the parameters (from the
subsymbolic structure) per cognitive disability
related with the cognitive processes (high level and
low-level) detected in the AUM.
a literature research has been conducted to extract
the values of these parameters for the different
VERITAS end-users.
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19. GENERIC VIRTUAL USER MODELS
FOR COGNITION (1/3)
The Cognitive Generic Virtual User Model
describes the set of users having a
specific cognitive disability (Alzheimer,
Parkinson, cognitive)
Includes the parameters and the values
“overlayed” by the disabilities
Relates the affected primitive tasks
defined by VERITAS with the ACT-R
19 cognitive parameters.
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20. GENERIC VIRTUAL USER MODELS
FOR COGNITION (2/3)
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21. GENERIC VIRTUAL USER MODELS
FOR COGNITION (3/3)
In the VERITAS case:
an ongoing research is focusing on developing
& gathering ACT-R production task models that
correspond to the task models defined.
The final development of this research will
provide useful information to complete the
parameterized cognitive user models.
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22. OBTAINED RESULTS
So far we have found:
5 ACT-R parameters related with cognitive ageing
12 ACT-R parameters related with Alzheimer’s
disease
5 ACT-R parameters related with Parkinson’s
disease.
All these values are related as well with the VERITAS
cognitive processes and primitive tasks.
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23. CONCLUSIONS & NEXT STEPS
The study is still ongoing but we are able to
conclude:
it is possible to find ACT-R studies related with the
cognitive parameters that will be relevant to model
VERITAS end-users.
the parameters are mostly values and ranges
We also found values with the help of research in
medical studies
To improve the results and to extract missing values, is
necessary a larger research in collaboration with
23 psychologists to develop ACT-R models per each task
Additional research is currently being performed
towards analysing how different psychological states
affect different cognitive processes
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24. We would like to have it THAT clear BUT…
24
A LOT OF RESEARCH IS STILL MISSING!!!
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