Autonomous e-coaching in the wild: Empirical validation of a model-based reasoning system

B.A. Kamphorst, M.C.A. Klein, A. van Wissen

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Autonomous e-coaching systems have the potential to improve people's health behaviors on a large scale. The intelligent behavior change support system eMate exploits a model of the human agent to support individuals in adopting a healthy lifestyle. The system attempts to identify the causes of a person's non-adherence by reasoning over a computational model (COMBI) that is based on established psychological theories of behavior change. The present work presents an extensive, monthlong empirical validation study (N=82) of eMate in which participants were coached in their everyday life -- using a mobile app and a website -- towards taking the stairs more often. The eMate reasoning mechanism is evaluated on its accuracy and its ability to promote behavior change. Results show that eMate (i) identifies and accurately targets the problematic constructs for an individual and (ii) positively affects aspects of behavior change through tailored interventions.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems
Place of PublicationParis, France
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Pages725-732
Number of pages8
ISBN (Electronic)9781634391313
ISBN (Print)978-1-4503-2738-1
Publication statusPublished - 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
Duration: 5 May 20149 May 2014

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
CountryFrance
CityParis
Period5/05/149/05/14

Keywords

  • Behavior change
  • Decision support system
  • E-coaching
  • EHealth
  • HCI
  • Model-based diagnostics

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