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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)
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
Keyword [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 Information Science; människa-datorinteraktion
Identifiers
URN: urn:nbn:se:umu:diva-141026DOI: 10.1145/3121283.312130OAI: oai:DiVA.org:umu-141026DiVA, id: diva2:1151094
Conference
European Conference on Cognitive Ergonomics (ECCE) 2017
Available from: 2017-10-22 Created: 2017-10-22 Last updated: 2018-06-09

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Publisher's full texthttp://doi.acm.org/10.1145/3121283.3121305

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Baskar, JayalakshmiYan, ChunliLindgren, Helena

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