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A psychotherapy training environment with virtual patients implemented using the furhat robot platform
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
2017 (English)In: 17th International Conference on Intelligent Virtual Agents, IVA 2017, Springer, 2017, Vol. 10498, p. 184-187Conference paper (Refereed)
Abstract [en]

We present a demonstration system for psychotherapy training that uses the Furhat social robot platform to implement virtual patients. The system runs an educational program with various modules, starting with training of basic psychotherapeutic skills and then moves on to tasks where these skills need to be integrated. Such training relies heavily on observing and dealing with both verbal and non-verbal in-session patient behavior. Hence, the Furhat robot is an ideal platform for implementing this. This paper describes the rationale for this system and its implementation.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 10498, p. 184-187
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743 ; 10498
Keyword [en]
Psychotherapy, Social robots, Virtual patients
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-216756DOI: 10.1007/978-3-319-67401-8_20Scopus ID: 2-s2.0-85028966758ISBN: 9783319674001 OAI: oai:DiVA.org:kth-216756DiVA, id: diva2:1152495
Conference
17th International Conference on Intelligent Virtual Agents, IVA 2017, Stockholm, Sweden, 27 August 2017 through 30 August 2017
Funder
VINNOVA, 2017-00727
Note

QC 20171025

Available from: 2017-10-25 Created: 2017-10-25 Last updated: 2017-10-25Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf