Generating Situation-Based Motivational Feedback in a PTSD E-health System

Myrthe Tielman*, Mark Neerincx, Willem-Paul Brinkman

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationIntelligent Virtual Agents
Subtitle of host publication17th International Conference, IVA 2017, Proceedings
Place of PublicationCham
Number of pages4
ISBN (Electronic)978-3-319-67401-8
ISBN (Print)978-3-319-67400-1
Publication statusPublished - 2017
EventIVA 2017: 17th International Conference on Intelligent Virtual Agents - Stockholm, Sweden
Duration: 27 Aug 201730 Aug 2017

Publication series

NameLecture Notes in Computer Science
Volume10498 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceIVA 2017
Internet address


  • Behavior change
  • E-health
  • Motivation
  • PTSD
  • Virtual agent


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