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A Multipurpose Goal Model for Personalised Digital Coaching
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0001-7267-6534
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. Umeå universitet, Medicinska fakulteten, Institutionen för samhällsmedicin och rehabilitering.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0002-6035-800X
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-4072-8795
Vise andre og tillknytning
2017 (engelsk)Inngår i: Agents and Multi-Agent Systems for Health Care: 10th International Workshop, A2HC 2017, São Paulo, Brazil, May 8, 2017, and International Workshop, A-HEALTH 2017, Porto, Portugal, June 21, 2017, Revised and Extended Selected Papers, Springer, 2017, Vol. 10685, s. 94-116Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Supporting human actors in daily living activities for improving health and wellbeing is a fundamental goal for assistive technology. The personalisation of the support provided by assistive technology in the form of digital coaching requires user models that handle potentially conflicting goals and motives. The aim of this research is to extend a motivational model implemented in an assistive technology, into a multipurpose motivational model for the human actor who is to be supported, which can be translated into a multipurpose goal model for a team of assistive agents. A team of assistive agents is outlined with supplementary goals following the human’s different properties. A method for generating multipurpose arguments relating to different motives were developed, and implemented in a human-agent dialogue system. The results are exemplified based on a use case from an earlier pilot user study of the assistive technology. Future work includes user studies to validate the model.

sted, utgiver, år, opplag, sider
Springer, 2017. Vol. 10685, s. 94-116
Serie
Lecture Notes in Artificial Intelligence
HSV kategori
Forskningsprogram
datalogi; människa-datorinteraktion
Identifikatorer
URN: urn:nbn:se:umu:diva-141360DOI: 10.1007/978-3-319-70887-4_6OAI: oai:DiVA.org:umu-141360DiVA, id: diva2:1153599
Konferanse
A2HC 2017 : X Workshop on Agents Applied in Health Care, Sao Paolo, Brazil, May 8-9, 2017
Tilgjengelig fra: 2017-10-31 Laget: 2017-10-31 Sist oppdatert: 2019-06-19bibliografisk kontrollert

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Baskar, JayalakshmiJanols, RebeckaGuerrero, EstebanNieves, Juan CarlosLindgren, Helena

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