13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters

Research Article

Design of an Ontology for Decision Support in VR Exposure Therapy

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  • @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
Joris Heyse1,*, Femke Ongenae1, Jolien De Letter1, Anissa All1, Femke De Bakcere1, Filip De Turck1
  • 1: Ghent University
*Contact email: joris.heyse@ugent.be

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.