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A Multipurpose Goal Model for Personalised Digital Coaching

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Agents and Multi-Agent Systems for Health Care (A2HC 2017, AHEALTH 2017)

Abstract

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.

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Notes

  1. 1.

    http://www.who.int/classifications/icf/en/.

  2. 2.

    http://www.w3.org/RDF/.

  3. 3.

    http://www.w3.org/OWL/.

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Baskar, J., Janols, R., Guerrero, E., Nieves, J.C., Lindgren, H. (2017). A Multipurpose Goal Model for Personalised Digital Coaching. In: Montagna, S., Abreu, P., Giroux, S., Schumacher, M. (eds) Agents and Multi-Agent Systems for Health Care. A2HC AHEALTH 2017 2017. Lecture Notes in Computer Science(), vol 10685. Springer, Cham. https://doi.org/10.1007/978-3-319-70887-4_6

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