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Generating situation-based motivational feedback in a PTSD E-health system

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Author: Tielman, M. · Neerincx, M.A. · Brinkman, W.P.
Type:article
Date:2017
Publisher: Springer Verlag
Source:O'Sullivan, C.Castellano, G.Kopp, S.Beskow, J.Peters, C.Leite, I., 17th International Conference on Intelligent Virtual Agents, IVA 2017. 27 August 2017 through 30 August 2017, 10498 LNAI, 437-440
series:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Identifier: 781353
doi: doi:10.1007/978-3-319-67401-8_54
ISBN: 9783319674001
Keywords: Behavior change · E-health · Motivation · PTSD · Virtual agent · Hospital data processing · Motivation · Virtual reality · Behavior change · E health · e-Health systems · Expert knowledge · Post traumatic stress disorders · PTSD · Support systems · Virtual agent · Intelligent virtual agents · Human & Operational Modelling · PCS - Perceptual and Cognitive Systems · ELSS - Earth, Life and Social Sciences

Abstract

Motivating users is an important task for virtual agents in behaviour chance support systems. In this study we present a system which generates motivational statements based on situation type, aimed at a virtual agent for Post-Traumatic Stress Disorder therapy. Using input from experts (n=13), we built a database containing what categories of motivation to use based on therapy progress and current user trust. A statistical analysis confirmed that we can significantly predict the category of statements to use. Using the database, we present a system that generates motivational statements. Because this system is based on expert data, it has the advantage of not needing large amounts of patient data. We envision that by basing the content directly on expert knowledge, the virtual agent can motivate users as a human expert would.