Research Article
Design of an Ontology for Decision Support in VR Exposure Therapy
@INPROCEEDINGS{10.4108/eai.20-5-2019.2283493, author={Joris Heyse and Femke Ongenae and Jolien De Letter and Anissa All and Femke De Bakcere and Filip De Turck}, title={Design of an Ontology for Decision Support in VR Exposure Therapy}, proceedings={13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters}, publisher={EAI}, proceedings_a={PERVASIVEHEALTH - EAI}, year={2019}, month={6}, keywords={ontology design decision support ehealth vret}, doi={10.4108/eai.20-5-2019.2283493} }- Joris Heyse
Femke Ongenae
Jolien De Letter
Anissa All
Femke De Bakcere
Filip De Turck
Year: 2019
Design of an Ontology for Decision Support in VR Exposure Therapy
PERVASIVEHEALTH - EAI
EAI
DOI: 10.4108/eai.20-5-2019.2283493
Abstract
Virtual Reality (VR) is finding its way into many domains, including healthcare. Therapists greatly benefit from having any scenario in VR at their disposal for exposure therapy. However, adapting the VR environment to the needs of the patient is time-consuming. Therefore, an intelligent decision support system that takes context information into account would be a big improvement for personalised VR therapy. In this paper, a semantic ontology is presented for modelling relevant concepts and relations in the context of anxiety therapy in VR. The necessary knowledge was collected through workshops with therapists, this resulted in a layered ontology. Furthermore, semantic reasoning through logical rules enables deduction of interesting high-level knowledge from low-level data. The presented ontology is a starting point for further research on intelligent adaptation algorithms for personalised VR exposure therapy.
