Towards a generic framework for a health behaviour change support agent

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

Abstract

Agent-oriented solutions form a useful paradigm to design intelligent systems. For health-related behaviour change, this is also a promising approach. Designing an agent for lifestyle change interventions is a difficult task because socio-ecological models are involved that represent many conflicting desires and goals. Different types of cognitive architectures are available to design this type of health behavior agents but they are rarely used. In this paper, we used the BDI model to design a health behavior agent that will execute behavior change intervention for a better healthy lifestyle. We explain the working of the architecture by the example of an agent which uses adaptive goals-setting and a percentile scheduling technique for increasing physical activity.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Agents and Artificial Intelligence
EditorsAna Rocha, Luc Steels, Jaap van den Herik
PublisherSciTePress
Pages311-318
Number of pages8
Volume1
ISBN (Electronic)9789897583957
ISBN (Print)9789897583957
DOIs
Publication statusPublished - 2020
Event12th International Conference on Agents and Artificial Intelligence, ICAART 2020 - Valletta, Malta
Duration: 22 Feb 202024 Feb 2020

Conference

Conference12th International Conference on Agents and Artificial Intelligence, ICAART 2020
CountryMalta
CityValletta
Period22/02/2024/02/20

    Fingerprint

Keywords

  • BDI-based Agent
  • Behavior Change Technique
  • Health Behavior Change Agent

Cite this

Taj, F., Klein, M. C. A., & van Halteren, A. (2020). Towards a generic framework for a health behaviour change support agent. In A. Rocha, L. Steels, & J. van den Herik (Eds.), Proceedings of the 12th International Conference on Agents and Artificial Intelligence (Vol. 1, pp. 311-318). SciTePress. https://doi.org/10.5220/0009173503110318