Why won't you do what's good for you? using intelligent support for behavior change

Authors:
Michel Klein;Nataliya Mogles;Arlette van Wissen
Affiliations:
Department of Artificial Intelligence, VU University, Amsterdam, The Netherlands;Department of Artificial Intelligence, VU University, Amsterdam, The Netherlands;Department of Artificial Intelligence, VU University, Amsterdam, The Netherlands
Venue:
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
Year:
2011

Citing 4
Cited 1

Diagnostic reasoning based on structure and behavior

Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Tailored Health Messages: Customizing Communication with Computer Technology

Tailored Health Messages: Customizing Communication with Computer Technology
Mobile phones assisting with health self-care: a diabetes case study

Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
An online lifestyle diary with a persuasive computer assistant providing feedback on self-management

Technology and Health Care - Smart Environments: Technology to Support Healthcare

Human behavior understanding for inducing behavioral change: application perspectives

HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding

Quantified Score

Hi-index	0.00

Visualization

Abstract

Human health depends to a large extent on their behavior. Adopting a healthy lifestyle often requires behavior change. This paper presents a computational model of behavior change that describes formal relations between the determinants of behavior change, based on existing psychological theories. This model is developed to function as the core of a reasoning mechanism of an intelligent support system that is able to create theory-based intervention messages. The system first tries to determine the reason of the occurrence of the unwanted behavior by asking short questions via a mobile phone application and by gathering information from an online lifestyle diary. The system then attempts to influence the user using tailored information and persuasive motivational messages.