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Guerrero, E., Lu, M.-H., Yueh, H.-P. & Lindgren, H. (2019). Designing and evaluating an intelligent augmented reality system for assisting older adults’ medication management. Cognitive Systems Research, 58, 278-291
Open this publication in new window or tab >>Designing and evaluating an intelligent augmented reality system for assisting older adults’ medication management
2019 (English)In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 58, p. 278-291Article in journal (Refereed) Published
Abstract [en]

Intelligent Assistive Systems (IASs) provide personalised support to individuals to increase their autonomy and competence in performing activities. The personalisation of such technology represents a particular challenge, for the individuals abilities typically change over time. The aim of this research was to explore a theory-based, activity-centred framework for the development of IASs that both facilitate the active involvement of caregivers and target users and allow for adaptation to the individual over time.

Medication management was focused on as a case study. Three older adults and two caregivers were involved in a co-design process of an IAS prototype system, the MED-AR, which uses projection-based augmented reality as the user interface technology. The theoretical framework for the design and evaluation of the MED-AR was activity theory. For the decision-making process of the MED-AR, formal argumentation theory was used. The major contributions of the study are (i) a formal framework for understanding the level of independence in activities and the way an IAS can tailor support to an individual and a situation, including caregivers; and (ii) a model for involving older adults and caregivers in a co-design process in the first phases of developing IASs.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Intelligent assistive technology, Augmented reality, Medication distribution, Activity theory, Argumentation theory, Participatory design, Older adults
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:umu:diva-163279 (URN)10.1016/j.cogsys.2019.07.001 (DOI)000488236400024 ()2-s2.0-85070058842 (Scopus ID)
Available from: 2019-09-12 Created: 2019-09-12 Last updated: 2019-10-25Bibliographically approved
Guerrero, E., Nieves, J. C., Sandlund, M. & Lindgren, H. (2018). Activity qualifiers using an argument-based construction. Knowledge and Information Systems, 54(3), 633-658
Open this publication in new window or tab >>Activity qualifiers using an argument-based construction
2018 (English)In: Knowledge and Information Systems, ISSN 0219-1377, E-ISSN 0219-3116, Vol. 54, no 3, p. 633-658Article in journal (Refereed) Published
Abstract [en]

Based on an argumentation theory approach, we present a novel method for evaluating complex goal-based activities by generalizing a notion of qualifier defined in the health domain. Three instances of the general qualifier are proposed: Performance, Actuation and Capacity; the first one evaluates what a person does, the second how an individual follows an action plan, and the third one how "well" or "bad" an activity is executed. Qualifiers are intended to be used by autonomous systems for evaluating human activity. We exemplify our approach using a health domain assessment protocol. Main results of this test show a partial correlation between ambiguities assessed by experts and our argument-based approach; and a multi-dimensional perspective how an activity is executed when a combined evaluation of qualifiers is used. This last outcome was interesting for some therapists consulted. Results also show differences between values of qualifiers using different argumentation semantics; two scenarios were proposed by therapist for using different semantics: preliminary activity screening and time-span follow-up evaluation.

Place, publisher, year, edition, pages
Springer, 2018
Keywords
Human activity, Argumentation theory, Logic programming, Performance Capacity, Activity evaluation
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-141040 (URN)10.1007/s10115-017-1112-7 (DOI)000425010800006 ()
Available from: 2017-10-23 Created: 2017-10-23 Last updated: 2018-06-09Bibliographically approved
Baskar, J., Janols, R., Guerrero, E., Nieves, J. C. & Lindgren, H. (2017). A Multipurpose Goal Model for Personalised Digital Coaching. In: Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers. Paper presented at A2HC 2017 : X Workshop on Agents Applied in Health Care, Sao Paolo, Brazil, May 8-9, 2017 (pp. 94-116). Springer, 10685
Open this publication in new window or tab >>A Multipurpose Goal Model for Personalised Digital Coaching
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2017 (English)In: Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers, Springer, 2017, Vol. 10685, p. 94-116Conference paper, Published paper (Refereed)
Abstract [en]

Supporting human actors in daily living activities for improving health and wellbeing is a fundamental goal for assistive technology. The personalisation of the support provided by assistive technology in the form of digital coaching requires user models that handle potentially conflicting goals and motives. The aim of this research is to extend a motivational model implemented in an assistive technology, into a multipurpose motivational model for the human actor who is to be supported, which can be translated into a multipurpose goal model for a team of assistive agents. A team of assistive agents is outlined with supplementary goals following the human’s different properties. A method for generating multipurpose arguments relating to different motives were developed, and implemented in a human-agent dialogue system. The results are exemplified based on a use case from an earlier pilot user study of the assistive technology. Future work includes user studies to validate the model.

Place, publisher, year, edition, pages
Springer, 2017
Series
Lecture Notes in Artificial Intelligence
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science; human-computer interaction
Identifiers
urn:nbn:se:umu:diva-141360 (URN)10.1007/978-3-319-70887-4_6 (DOI)
Conference
A2HC 2017 : X Workshop on Agents Applied in Health Care, Sao Paolo, Brazil, May 8-9, 2017
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2019-06-19Bibliographically approved
Janols, R., Guerrero, E. & Lindgren, H. (2017). A Pilot Study on Personalised Coaching to Increase Older Adults' Physical and Social Activities. In: Juan F. De Paz, Vicente Julián, Gabriel Villarrubia, Goreti Marreiros, Paulo Novais (Ed.), Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017): . Paper presented at Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017), Porto, Portugal, June 21-13, 2017. (pp. 140-148). Springer, 615
Open this publication in new window or tab >>A Pilot Study on Personalised Coaching to Increase Older Adults' Physical and Social Activities
2017 (English)In: Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017) / [ed] Juan F. De Paz, Vicente Julián, Gabriel Villarrubia, Goreti Marreiros, Paulo Novais, Springer, 2017, Vol. 615, p. 140-148Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this research is to conduct a pilot study of a prototype that provides feedback using theory-based motivating messages developed by older adults, in a context of every day activities that include both physical and social activities. The prototype mobile application integrated the messages, a motivational model, and a personalization module that selects motivational messages based on preferences, motivational profile and the situation. The four participating older adults used the application for planning and following up social and physical activities. They found the messages entertaining and appreciated the dialogues with the application. They used the dialogues primarily to reinforce their satisfaction regarding conducted activities and did not necessarily tell the truth about conduced activities in the interaction with the application. The results are preliminary, but give valuable implications for further development of the personalisation module towards more purposeful use of ambient information, and aspects to explore in future user studies.

Place, publisher, year, edition, pages
Springer, 2017
Series
Advances in Intelligent Systems and Computing, E-ISSN 2194-5357
Keywords
Behaviour change, Persuasive technology, Personalisation, Ambient intelligence, Physical activity, Social inclusion, Older adults
National Category
Human Computer Interaction Computer Sciences
Research subject
människa-datorinteraktion; Computer and Information Science
Identifiers
urn:nbn:se:umu:diva-141030 (URN)10.1007/978-3-319-61118-1_18 (DOI)000452846600018 ()2-s2.0-85021678496 (Scopus ID)978-3-319-61118-1 (ISBN)978-3-319-61117-4 (ISBN)
Conference
Ambient Intelligence - Software and Applications - 8th International Symposium on Ambient Intelligence (ISAmI 2017), Porto, Portugal, June 21-13, 2017.
Available from: 2017-10-22 Created: 2017-10-22 Last updated: 2019-01-22Bibliographically approved
Nieves, J. C., Andrade, D. & Guerrero, E. (2017). MAIoT: An IoT Architecture with Reasoning and Dialogue Capability. In: Enrique Sucar, Oscar Mayora, Enrique Munoz de Cote (Ed.), Applications for Future Internet: International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers. Paper presented at International 360 Degree Summit on Applications for Future Internet (AFI360), Puebla, Mexico, May 25-28, 2016 (pp. 109-113). Cham: Springer
Open this publication in new window or tab >>MAIoT: An IoT Architecture with Reasoning and Dialogue Capability
2017 (English)In: Applications for Future Internet: International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers / [ed] Enrique Sucar, Oscar Mayora, Enrique Munoz de Cote, Cham: Springer, 2017, p. 109-113Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes MAIoT, a Multiagent-based Architecture which aims to coordinate Internet of Things (IoT) devices. MAIoT is distinguished by its capabilities for allowing dialogues between IoT devices. To support theses dialogue capabilities, the IoT devices are wrapped into rational agents with reasoning and dialogue capabilities.

Place, publisher, year, edition, pages
Cham: Springer, 2017
Series
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN 1867-8211 ; 179
Keywords
Internet of Things, Multiagent systems, Rational agents, Dialogues
National Category
Computer Systems Computer Sciences Human Computer Interaction
Identifiers
urn:nbn:se:umu:diva-128875 (URN)10.1007/978-3-319-49622-1_13 (DOI)000419034800013 ()2-s2.0-85009804174 (Scopus ID)978-3-319-49621-4 (ISBN)978-3-319-49622-1 (ISBN)
Conference
International 360 Degree Summit on Applications for Future Internet (AFI360), Puebla, Mexico, May 25-28, 2016
Available from: 2016-12-17 Created: 2016-12-17 Last updated: 2018-06-09Bibliographically approved
Lindgren, H., Guerrero, E. & Janols, R. (2017). Personalised Persuasive Coaching to Increase Older Adults' Physical and Social Activities: a Motivational Model. In: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings. Paper presented at PAAMS 2017: 15th International Conference on Practical Applications of Agents and Multi-Agent systems, Portugal, June 21-23, 2017 (pp. 170-182). Springer
Open this publication in new window or tab >>Personalised Persuasive Coaching to Increase Older Adults' Physical and Social Activities: a Motivational Model
2017 (English)In: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings, Springer, 2017, p. 170-182Conference paper, Published paper (Refereed)
Abstract [en]

The overall aim of this research is to develop an adaptive digital coaching system that gives seniors personalized support for increasing physical activity, and promoting participation in social activity and their own care. The main research question is how can different behavioral and motivational factors of an individual be formally integrated into the knowledge base of a coach agent for generating support tailored to the individual’s needs and preferences in a specific situation?

The results include a theory-based motivational model incorporating different person-centric factors, and an algorithm for generating the adaptive and persuasive behavior of the agent that aims to motivate the individual. These are integrated in a mobile coaching application together with a set of theory-based motivating messages targeting primarily physical and social activities. Future work includes the development of methods for handling conflicting motives, and user studies.

Place, publisher, year, edition, pages
Springer, 2017
Series
Lecture Notes in Computer Science ; 10349
Keywords
Agents, Behaviour change, Persuasive technology, Personalisation, Physical activity, Social inclusion, Older adults
National Category
Computer Sciences Human Computer Interaction
Research subject
computer and systems sciences; human-computer interaction
Identifiers
urn:nbn:se:umu:diva-141029 (URN)10.1007/978-3-319-59930-4_14 (DOI)978-3-319-59929-8 (ISBN)978-3-319-59930-4 (ISBN)
Conference
PAAMS 2017: 15th International Conference on Practical Applications of Agents and Multi-Agent systems, Portugal, June 21-23, 2017
Available from: 2017-10-22 Created: 2017-10-22 Last updated: 2019-06-19Bibliographically approved
Guerrero, E. & Lindgren, H. (2017). Practical reasoning about complex activities. In: Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale (Ed.), Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. Paper presented at 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017 (pp. 82-94). Cham: Springer International Publishing AG
Open this publication in new window or tab >>Practical reasoning about complex activities
2017 (English)In: Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection / [ed] Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale, Cham: Springer International Publishing AG , 2017, p. 82-94Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an argument-based mechanism to generate hypotheses about belief-desire-intentions on dynamic and complex activities of a software agent. We propose to use a composed structure called activity as unit for agent deliberation analysis, maintaining actions, goals and observations of the world always situated into a context. Activity transformation produces changes in the knowledge base activity structure as well in the agent’s mental states. For example, in car driving as a changing activity, experienced and novice drivers have a different mental attitudes defining distinct deliberation processes with the same observations of the world. Using a framework for understanding activities in social sciences, we endow a software agent with the ability of deliberate, drawing conclusion about current and past events dealing with activity transformations. An argument-based deliberation is proposed which progressively reason about activity segments in a bottom-up manner. Activities are captured as extended logic programs and hypotheses are built using an answer-set programming approach. We present algorithms and an early-stage implementation of our argument-based deliberation process.

Place, publisher, year, edition, pages
Cham: Springer International Publishing AG, 2017
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10349
Keywords
Practical reasoning, Agents, Complex activity, Argumentation, Deliberation, Tool
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-141041 (URN)10.1007/978-3-319-59930-4_7 (DOI)978-3-319-59929-8 (ISBN)978-3-319-59930-4 (ISBN)
Conference
15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017
Available from: 2017-10-23 Created: 2017-10-23 Last updated: 2018-06-09Bibliographically approved
Lindgren, H., Baskar, J., Guerrero, E., Janols, R. & Nieves, J. C. (2017). Towards a Multipurpose Goal Model for Personalised Digital Coaching. In: Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers. Paper presented at X Workshop on Agents Applied in Health Care, A2HC 2017, Sao Paulo, Brazil, May 8-9, 2017 (pp. 94-116). Springer
Open this publication in new window or tab >>Towards a Multipurpose Goal Model for Personalised Digital Coaching
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2017 (English)In: Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers, Springer, 2017, p. 94-116Conference paper, Published paper (Refereed)
Abstract [en]

Supporting human actors in daily living activities for improv- ing health and wellbeing is a fundamental goal for assistive technology. The personalization of the support provided by assistive technology in the form of digital coaching requires user models that handle potentially conflicting goals and motives. The aim of this research is to extend a motivational model implemented in an assistive technology, and outline a team of assistive agents with supplementary goals following the human’s different properties, orchestrated by a companion agent based on the multipurpose motivational model for the human actor who is to be supported. The multi- purpose motivational model and supportive arguments relating to different motives are exemplified based on a use case from an earlier pilot user study of the assistive technology. Future work includes user studies to validate the model.

Place, publisher, year, edition, pages
Springer, 2017
Series
Lecture Notes in Computer Science ; 10685
Keywords
Personalisation, Motivation, MultiagentSystems, AssistiveTechnology, Argumentation, Persuasive Technology, Behaviour Change
National Category
Computer Sciences Human Computer Interaction
Research subject
computer and systems sciences; human-computer interaction
Identifiers
urn:nbn:se:umu:diva-141031 (URN)10.1007/978-3-319-70887-4_6 (DOI)
Conference
X Workshop on Agents Applied in Health Care, A2HC 2017, Sao Paulo, Brazil, May 8-9, 2017
Available from: 2017-10-22 Created: 2017-10-22 Last updated: 2019-06-28Bibliographically approved
Guerrero, E., Nieves, J. C., Sandlund, M. & Lindgren, H. (2016). Activity qualifiers in an argumentation framework as instruments for agents when evaluating human activity. In: Yves Demazeau, Takayuki Ito, Javier Bajo, Maria José Escalona (Ed.), Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection: 14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016, Proceedings. Paper presented at 14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016 (pp. 133-144). Springer, 9662
Open this publication in new window or tab >>Activity qualifiers in an argumentation framework as instruments for agents when evaluating human activity
2016 (English)In: Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection: 14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016, Proceedings / [ed] Yves Demazeau, Takayuki Ito, Javier Bajo, Maria José Escalona, Springer, 2016, Vol. 9662, p. 133-144Conference paper, Published paper (Other academic)
Abstract [en]

Theoretical frameworks have been developed for enabling software agents to evaluate simple activities such as walking and sitting. However, such frameworks typically do not include methods for how practically dealing with uncertain sensor information. We developed an argument-based method for evaluating complex goal-based activities by adapting two qualifiers: Performance and Capacity defined in the health domain. The first one evaluates what a person does, and the second one how "well" or "bad" an activity is executed. Our aim is to deal with uncertainty and inconsistent information; generate consistent hypotheses about the activity execution; and resemble an expert therapist judgment, where an initial hypothesis assessment can be retracted under new evidence. We conducted a pilot test in order to evaluate our approach using a Physiotherapy assessment test as a goal-based activity. Results show that skeptic argumentation semantics are may be useful for discriminating individuals without physical issues by considering Performance and Capacity; conversely, credulous semantics may be suitable for obtaining information in the evaluation of activity, which an intelligent agent may use for providing personalized assistance in an ambient assisted living environment.

Place, publisher, year, edition, pages
Springer, 2016
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 9662
Keywords
Ambient assisted living, Intelligent agents, Argumentation theory, Argumentation semantics, Complex activities, Evaluation
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-120277 (URN)10.1007/978-3-319-39324-7_12 (DOI)000378992400012 ()978-3-319-39323-0 (ISBN)978-3-319-39324-7 (ISBN)
Conference
14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2018-06-07Bibliographically approved
Guerrero, E., Nieves, J. C. & Lindgren, H. (2016). An activity-centric argumentation framework for assistive technology aimed at improving health. Argument & Computation, 7(1), 5-33
Open this publication in new window or tab >>An activity-centric argumentation framework for assistive technology aimed at improving health
2016 (English)In: Argument & Computation, ISSN 1946-2174, Vol. 7, no 1, p. 5-33Article in journal (Refereed) Published
Abstract [en]

Tailoring assistive systems for guiding and monitoring an individual in daily living activities is a complex task. This paper presents ALI, an assistive system combining a formal possibilistic argumentation system and an informal model of human activity: the Cultural-Historic Activity Theory, facilitating the delivery of tailored advices to a human actor. We follow an activity-centric approach, taking into consideration the human’s motives, goals and prioritized actions. ALI tracks a person in order to I) determine what activities were performed over a period of time (activity recognition tracking), and II) send personalized notifications suggesting the most suitable activities to perform (decision-making monitoring). The ALI system was evaluated in a formative pilot study related to promote social activities and physical exercise.

Place, publisher, year, edition, pages
IOS Press, 2016
Keywords
Argumentation, decision-making, assisted living systems, activity theory, mobile, Cultural-Historical Activity Theory, activity recognition
National Category
Computer Sciences
Research subject
Computing Science
Identifiers
urn:nbn:se:umu:diva-120278 (URN)10.3233/AAC-160004 (DOI)000390247800003 ()
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2018-06-07Bibliographically approved
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