Print Email Facebook Twitter An ontology-based question system for a virtual coach assisting in trauma recollection Title An ontology-based question system for a virtual coach assisting in trauma recollection Author Tielman, M. van Meggelen, M. Neerincx, M.A. Brinkman, W.P. Contributor Brinkman, W.P. (editor) Broekens, J. (editor) Heylen, D. (editor) Publication year 2015 Abstract Internet-based guided self-therapy systems provide a novel method for Post-Traumatic Stress Disorder patients to follow therapy at home with the assistance of a virtual coach. One of the main challenges for such a coach is assisting patients with recollecting their traumatic memories, a vital part of therapy. In this paper, an ontology-based question system capable of posing appropriate and personalized questions is presented. This method was tested in an experiment with nonpatients (n = 24), where it was compared with a non-ontology-based system which did not provide personalization. Results show that people take more time answering questions with the ontology-based system and use more words describing properties, such as adjectives. This indicates that the ontology-based system facilitates more thoughtful and detailed memory-recollection. © Springer International Publishing Switzerland 2015. Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesDialogue systemMemoriesOntologyPTSDVirtual coachData storage equipmentIntelligent virtual agentsInternetPatient treatmentSpeech processingDialogue systemsInternet basedOntology-basedOntology-based systemsPersonalizationsPost traumatic stress disordersPTSDVirtual coachOntology To reference this document use: http://resolver.tudelft.nl/uuid:45d250a7-3163-4b03-9822-ca0cabe02167 DOI https://doi.org/10.1007/978-3-319-21996-7_2 TNO identifier 528801 Publisher Springer Verlag ISBN 9783319219950 ISSN 0302-9743 Source 15th International Conference on Intelligent Virtual Agents, IVA 2015, 26 August 2015 through 28 August 2015, 9238, 17-27 Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.