Title
Generating situation-based motivational feedback in a PTSD E-health system
Author
Tielman, M.
Neerincx, M.A.
Brinkman, W.P.
Contributor
O'Sullivan, C. (editor)
Castellano, G. (editor)
Kopp, S. (editor)
Beskow, J. (editor)
Peters, C. (editor)
Leite, I. (editor)
Publication year
2017
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.
Subject
Human & Operational Modelling
PCS - Perceptual and Cognitive Systems
ELSS - Earth, Life and Social Sciences
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
To reference this document use:
http://resolver.tudelft.nl/uuid:1f4e7b87-e57e-46f6-8786-26a306bf3c11
DOI
https://doi.org/10.1007/978-3-319-67401-8_54
TNO identifier
781353
Publisher
Springer Verlag
ISBN
9783319674001
ISSN
0302-9743
Source
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)
Document type
conference paper