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Instrument-Oriented Approach to Detecting and Representing Human Activity for Supporting Executive Functions and Learning
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 Science and Technology, Department of Computing Science.
2017 (English)In: Proceedings of the European Conference on Cognitive Ergonomics 2017, New York, NY, USA: ACM Digital Library, 2017, p. 105-112Conference paper, Published paper (Refereed)
Abstract [en]

The goal of this study is to develop a computer-interpretable model for activity detection and representation, based on existing informal models of how humans perform activity. Appropriate detection of purposeful human activity is an essential functionality of active assistive technology aiming at providing tailored support to individuals for improving activity performance and completion. The main contribution is the design of a model for detection and representation of human activities based on three categories of instruments, which is implemented as two generic and supplementary terminology models: an event ontology and a core ontology. The core ontology is extended for each new knowledge domain into a domain ontology. The model builds the base for personalization of services generated by the cooperative reasoning performed by a human collaborating with an intelligent and social software agent. Ongoing and future work includes user studies in the different application domains.

Place, publisher, year, edition, pages
New York, NY, USA: ACM Digital Library, 2017. p. 105-112
Series
Academic dissertations at the department of Educational Measurement, ISSN 1652-9650
Keywords [en]
Activity recognition, Activity theory, Assistive technology, Decision-support systems, Human-agent interaction, Knowledge representation, Ontology, User modelling
National Category
Computer Sciences Human Computer Interaction
Research subject
computer and systems sciences; human-computer interaction
Identifiers
URN: urn:nbn:se:umu:diva-141026DOI: 10.1145/3121283.3121305ISBN: 978-1-4503-5256-7 (electronic)OAI: oai:DiVA.org:umu-141026DiVA, id: diva2:1151094
Conference
European Conference on Cognitive Ergonomics (ECCE) 2017, Umeå, Sweden, September 9-22, 2017
Available from: 2017-10-22 Created: 2017-10-22 Last updated: 2019-06-26Bibliographically approved

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Baskar, JayalakshmiYan, ChunliLindgren, Helena
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf