Building an on-demand avatar-based health intervention for behavior change

Christine Lisetti, Ugan Yasavur, Claudia De Leon, Reza Amini, Napthali Rishe, Ubbo Visser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

We discuss the design and implementation of the prototype of an avatar-based health system aimed at providing people access to an effective behavior change intervention which can help them to find and cultivate motivation to change unhealthy lifestyles. An empathic Embodied Conversational Agent (ECA) delivers the intervention. The health dialog is directed by a computational model of Motivational Interviewing, a novel effective face-to-face patient-centered counseling style which respects an individual's pace toward behavior change. Although conducted on a small sample size, results of a preliminary user study to asses users' acceptance of the avatar counselor indicate that the system prototype is well accepted by 75% of users.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Pages175-180
Number of pages6
StatePublished - 2012
Event25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 - Marco Island, FL, United States
Duration: May 23 2012May 25 2012

Publication series

NameProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

Other

Other25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
CountryUnited States
CityMarco Island, FL
Period5/23/125/25/12

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Lisetti, C., Yasavur, U., De Leon, C., Amini, R., Rishe, N., & Visser, U. (2012). Building an on-demand avatar-based health intervention for behavior change. In Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 (pp. 175-180). (Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25).