Generating situation-based motivational feedback in a PTSD E-health system
conference paper
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.
Topics
TNO Identifier
781353
ISSN
03029743
ISBN
9783319674001
Publisher
Springer Verlag
Source title
17th International Conference on Intelligent Virtual Agents, IVA 2017. 27 August 2017 through 30 August 2017
Editor(s)
O'Sullivan, C.
Castellano, G.
Kopp, S.
Beskow, J.
Peters, C.
Leite, I.
Castellano, G.
Kopp, S.
Beskow, J.
Peters, C.
Leite, I.
Pages
437-440
Files
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