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Investigating design implications towards a social robot as a memory trainer
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (Social Robotics)
2017 (English)In: Proc. 5th International Conference on Human Agent Interaction, New York: ACM Press, 2017, p. 5-10Conference paper, Published paper (Refereed)
Abstract [en]

Most currently existing tools for cognitive memory therapy require physical interaction or at least the presence of another person. The goal of this paper is to investigate whether a social robot might be an acceptable solution for a more inclusive therapy for people with memory disorder and severe physical limitations. Applying a user-centered design approach, we conducted semi-structured interviews with five healthcare professionals; four medical doctors and a psychologist, in three iterations followed by a focus group activity. An analysis of the collected data suggests several implications for design with an emphasis on embodiment, social skills, interaction, and memory training exercises.

Place, publisher, year, edition, pages
New York: ACM Press, 2017. p. 5-10
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-335360DOI: 10.1145/3125739.3125755ISI: 000463009800003ISBN: 978-1-4503-5113-3 (print)OAI: oai:DiVA.org:uu-335360DiVA, id: diva2:1162531
Conference
HAI 2017, October 17–20, Bielefeld, Germany
Funder
Swedish Research Council, 2015-04378Available from: 2017-10-17 Created: 2017-12-04 Last updated: 2019-08-22Bibliographically approved

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Laaksoharju, MikaelObaid, Mohammad

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • nn-NB
  • sv-SE
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More languages
Output format
  • html
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  • asciidoc
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