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Activity qualifiers in an argumentation framework as instruments for agents when evaluating human activity
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Medicine, Department of Community Medicine and Rehabilitation, Physiotherapy.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
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, 133-144 p.Conference 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. Vol. 9662, 133-144 p.
Series
, Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 9662
Keyword [en]
Ambient assisted living, Intelligent agents, Argumentation theory, Argumentation semantics, Complex activities, Evaluation
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-120277DOI: 10.1007/978-3-319-39324-7_12ISI: 000378992400012ISBN: 978-3-319-39323-0ISBN: 978-3-319-39324-7OAI: oai:DiVA.org:umu-120277DiVA: diva2:927874
Conference
14th International Conference, PAAMS 2016, Sevilla, Spain, June 1-3, 2016
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2016-08-01Bibliographically approved
In thesis
1. Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
Open this publication in new window or tab >>Representing and Reasoning about Complex Human Activities - an Activity-Centric Argumentation-Based Approach
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The aim of this thesis is to develop theories and formal methods to endow a computing machinery with capabilities to identify, represent, reason and evaluate complex activities that are directed by an individual’s needs, goals, motives, preferences and environment, information which can be inconsistent and incomplete.

Current methods for formalising and reasoning about human activity are typically limited to basic actions, e.g., walking, sitting, sleeping, etc., excluding elements of an activity. This research proposes a new formal activity-centric model that captures complex human activity based on a systemic activity structure that is understood as a purposeful, social, mediated, hierarchically organized and continuously developing interaction between people and word.

This research has also resulted in a common-sense reasoning method based on argumentation, in order to provide defeasible explanations of the activity that an individual performs based on the activity-centric model of human activity. Reasoning about an activity is based on the novel notion of an argument under semantics-based inferences that is developed in this research, which allows the building of structured arguments and inferring consistent conclusions.

Structured arguments are used for explaining complex activities in a bottom-up manner, by introducing the notion of fragments of activity. Based on these fragments, consistent argumentation based interpretations of activity can be generated, which adhere to the activity-centric model of complex human activity.

For resembling the kind of deductive analysis that a clinician performs in the assessment of activities, two quantitative measurements for evaluating performance and capacity are introduced and formalized. By analysing these qualifiers using different argumentation semantics, information useful for different purposes can be generated. e.g., such as detecting risk in older adults for falling down, or more specific information about activity performance and activity completion. Both types of information can form the base for an intelligent machinery to provide tailored recommendation to an individual.

The contributions were implemented in different proof-of-concept systems, designed for evaluating complex activities and improving individual’s health in daily life. These systems were empirically evaluated with the purpose of evaluating theories and methodologies with potential users. The results have the potential to be utilized in domains such as ambient assisted living, assistive technology, activity assessment and self-management systems for improving health.

Place, publisher, year, edition, pages
Umeå: Umeå University, 2016. 60 p.
Series
Report / UMINF, ISSN 0348-0542 ; 16.15
Keyword
Complex activity, Argumentation Theory, Activity Theory, Logic programming, Knowledge representation, Common-sense reasoning, Artificial Intelligence
National Category
Computer Science
Research subject
Computing Science
Identifiers
urn:nbn:se:umu:diva-120272 (URN)978-91-7601-503-2 (ISBN)
Public defence
2016-06-07, MA121, MIT Huset, Umeå University campus, Umeå, 13:15 (English)
Opponent
Supervisors
Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2016-05-26Bibliographically approved

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