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Computer-Supported Assessment for Tailoring Assistive Technology
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.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
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2016 (English)In: DH'16: PROCEEDINGS OF THE 2016 DIGITAL HEALTH CONFERENCE, New York: Association for Computing Machinery (ACM), 2016, 1-10 p.Conference paper, Published paper (Refereed)
Abstract [en]

The main purpose of assistive technology is to support an individual's daily activities, in order to increase ability, autonomy, relatedness and quality of life. The aim for the work presented in this article is to develop automated methods to tailor the behavior of the assistive technology for the purpose to provide just-in-time, adaptive interventions targeting multiple domains. This requires methods for representing and updating the user model, including goals, preferences, abilities, activity and its situation. We focus the assessment and intervention tasks typically performed by therapists and provide knowledge-based technology for supporting the process. A formative evaluation study was conducted as a part of a participatory action research process, involving two rehabilitation experts, two young individuals and one senior individual as end-user participants, in addition to knowledge engineers. The main contribution of this work is a theory-based method for assessing the individual's goals, preferences, abilities and motives, which is used for building a holistic user model. The user model is continuously updated and functions as the base for tailoring the system's assistive behavior during intervention and follow-up.

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2016. 1-10 p.
Keyword [en]
Knowledge-based systems, User modeling, Personalization, Assistive technology, End-user development, Ambient assisted living, Multi-agent systems, Mental health, Behavior change systems, Participatory action research
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-128874DOI: 10.1145/2896338.2896352ISI: 000390308300001ISBN: 978-1-4503-4224-7 (print)OAI: oai:DiVA.org:umu-128874DiVA: diva2:1057371
Conference
6th International Conference on Digital Health (DH), APR 11-13, 2016,Montreal, CANADA
Available from: 2016-12-17 Created: 2016-12-17 Last updated: 2017-01-20Bibliographically approved

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Lindgren, HelenaBaskar, JayalakshmiGuerrero, EstebanNieves, Juan CarlosNilsson, IngeborgYan, Chunli
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Department of Computing ScienceDepartment of Community Medicine and Rehabilitation
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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Output format
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