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Supporting human activity performance using argumentation-based technology
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The aim for the research presented in this thesis is to develop theories, methods and technology which can detect, represent and evaluate purposeful human activity based on information, which is inconsistent, incomplete and which includes information about an individual's needs, goals and motives. The purpose is to provide instruments to the fields of assistive technology and ambient assisted living, which have the potentials to advance the treatment of semantic information for the purpose of making decisions and reasoning about complex human activity in daily life. Furthermore, based on sound interpretations of activity and evaluation of activity performance, tailored recommendations can be provided to the individual. This is achieved by integrating theoretical models of human activity with formal argumentation theory, and in this way create a model for representing the knowledge. Also based on the activity-theoretical models of human activity and argumentation, a computational model for common-sense reasoning was built based on the notion of fragments of activity. Moreover, a calculus model for evaluating activity performance considering the so called activity fragments was developed. These theoretical models were forming a base for implementing an argument-based reasoner engine, which manages incomplete and inconsistent information. These results were implemented in a prototype system designed for aiding an individual in improving health in daily life, for the purpose of testing the theories and methodologies with potential users. Information obtained by the sensors of a mobile phone and by assessments done by the individual regarding priorities, goals and motives were used in the analysis. Preliminary results are fed into further development, and future work includes user studies over a longer period of time. Furthermore, assistive technology for monitoring human activities in different contexts such as mining and construction industries are also being developed and tested. Future work includes also the development of methods for reasoning about activities based on data-stream sources, and taking into account that human needs, goals and motives vary over time. Moreover, methods for automatic configuration of intelligent collaborative agents and for fusing of heterogeneous data sources for providing tailored services will also be developed and evaluated in the ambient assisted living context.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2014. , 28 p.
Series
Report / UMINF, ISSN 0348-0542 ; 14.20
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-96777ISBN: 978-91-7601-136-2 (print)OAI: oai:DiVA.org:umu-96777DiVA: diva2:767973
Available from: 2014-12-03 Created: 2014-12-02 Last updated: 2014-12-03Bibliographically approved
List of papers
1. Arguing through the well-founded semantics: an argumentation engine
Open this publication in new window or tab >>Arguing through the well-founded semantics: an argumentation engine
2014 (English)Article in journal (Refereed) Submitted
Place, publisher, year, edition, pages
Elsevier, 2014
National Category
Computer Science
Identifiers
urn:nbn:se:umu:diva-96775 (URN)
Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2014-12-03Bibliographically approved
2. Reasoning about human activities: an argumentative approach
Open this publication in new window or tab >>Reasoning about human activities: an argumentative approach
2013 (English)In: 12th Scandinavian Conference on Artificial Intelligence (SCAI 2013), IOS Press, 2013, 195-204 p.Conference paper, Published paper (Refereed)
Abstract [en]

Recognizing and supporting human activities is an important challenge for ambient assisted living. In this paper we introduce a novel argumentation-based approach for dealing with human activity recognition. By considering a model of the world and a set of observations of the world, hypothetical fragments of activities are built. The hypothetical fragments of activities will be goal-oriented actions and they will be considered defeasible. Therefore we consider extension-based argumentation semantics for local selection of hypothetical fragments of activities. By considering degrees of fulfillment of activities and local selection, a global selection of hypothetical fragments of the activities is defined. Therefore, we can make explicit statements about why one hypothetical activity was performed.

Place, publisher, year, edition, pages
IOS Press: , 2013
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 257
Keyword
human activities recognition, argumentation reasoning
National Category
Computer Science
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-79715 (URN)10.3233/978-1-61499-330-8-195 (DOI)000343477100021 ()978-1-61499-330-8 (ISBN)978-1-61499-329-2 (ISBN)
Conference
12th Scandinavian Conference on Artificial Intelligence (SCAI 2013), Aalborg, Denmark, November 20-22, 2013
Available from: 2013-09-16 Created: 2013-08-29 Last updated: 2016-05-13Bibliographically approved
3. ALI, an ambient assisted living system for supporting behavior change
Open this publication in new window or tab >>ALI, an ambient assisted living system for supporting behavior change
2013 (English)In: VIII Workshop on Agents Applied in Health Care (A2HC 2013), 2013, 81-92 p.Conference paper, Published paper (Refereed)
National Category
Computer Science
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-79520 (URN)
External cooperation:
Conference
VIII Workshop on Agents Applied in Health Care (A2HC 2013)
Available from: 2013-08-21 Created: 2013-08-21 Last updated: 2016-09-07Bibliographically approved

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Citation style
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