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

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

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIntelligent Virtual Agents
Subtitle of host publication17th International Conference, IVA 2017, Proceedings
Place of PublicationCham
PublisherSpringer
Pages437-440
Number of pages4
ISBN (Electronic)978-3-319-67401-8
ISBN (Print)978-3-319-67400-1
DOIs
Publication statusPublished - 2017
EventIVA 2017: 17th International Conference on Intelligent Virtual Agents - Stockholm, Sweden
Duration: 27 Aug 201730 Aug 2017
http://iva2017.org/

Publication series

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

Conference

ConferenceIVA 2017
CountrySweden
CityStockholm
Period27/08/1730/08/17
Internet address

Keywords

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

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