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Designing and evaluating an intelligent augmented reality system for assisting older adults’ medication management
Umeå University, Faculty of Science and Technology, Department of Computing Science. (User Interaction and Knowledge Modelling)ORCID iD: 0000-0002-6035-800x
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
2019 (English)In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 58, p. 278-291Article in journal (Refereed) Published
Abstract [en]

Intelligent Assistive Systems (IASs) provide personalised support to individuals to increase their autonomy and competence in performing activities. The personalisation of such technology represents a particular challenge, for the individuals abilities typically change over time. The aim of this research was to explore a theory-based, activity-centred framework for the development of IASs that both facilitate the active involvement of caregivers and target users and allow for adaptation to the individual over time.

Medication management was focused on as a case study. Three older adults and two caregivers were involved in a co-design process of an IAS prototype system, the MED-AR, which uses projection-based augmented reality as the user interface technology. The theoretical framework for the design and evaluation of the MED-AR was activity theory. For the decision-making process of the MED-AR, formal argumentation theory was used. The major contributions of the study are (i) a formal framework for understanding the level of independence in activities and the way an IAS can tailor support to an individual and a situation, including caregivers; and (ii) a model for involving older adults and caregivers in a co-design process in the first phases of developing IASs.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 58, p. 278-291
Keywords [en]
Intelligent assistive technology, Augmented reality, Medication distribution, Activity theory, Argumentation theory, Participatory design, Older adults
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-163279DOI: 10.1016/j.cogsys.2019.07.001Scopus ID: 2-s2.0-85070058842OAI: oai:DiVA.org:umu-163279DiVA, id: diva2:1350791
Available from: 2019-09-12 Created: 2019-09-12 Last updated: 2019-09-16Bibliographically approved

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The full text will be freely available from 2021-08-06 00:00
Available from 2021-08-06 00:00

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Guerrero, EstebanLindgren, Helena

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CiteExportLink to record
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  • apa
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