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Design of an ontology for decision support in VR exposure therapy

Joris Heyse (UGent) , Femke Ongenae (UGent) , Jolien De Letter (UGent) , Anissa All (UGent) , Femke De Backere (UGent) and Filip De Turck (UGent)
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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.

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MLA
Heyse, Joris, et al. “Design of an Ontology for Decision Support in VR Exposure Therapy.” 13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters, edited by J Meyer and L Mamykina, EAI, 2019.
APA
Heyse, J., Ongenae, F., De Letter, J., All, A., De Backere, F., & De Turck, F. (2019). Design of an ontology for decision support in VR exposure therapy. In J. Meyer & L. Mamykina (Eds.), 13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters. Trento, Italy: EAI.
Chicago author-date
Heyse, Joris, Femke Ongenae, Jolien De Letter, Anissa All, Femke De Backere, and Filip De Turck. 2019. “Design of an Ontology for Decision Support in VR Exposure Therapy.” In 13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters, edited by J Meyer and L Mamykina. EAI.
Chicago author-date (all authors)
Heyse, Joris, Femke Ongenae, Jolien De Letter, Anissa All, Femke De Backere, and Filip De Turck. 2019. “Design of an Ontology for Decision Support in VR Exposure Therapy.” In 13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters, ed by. J Meyer and L Mamykina. EAI.
Vancouver
1.
Heyse J, Ongenae F, De Letter J, All A, De Backere F, De Turck F. Design of an ontology for decision support in VR exposure therapy. In: Meyer J, Mamykina L, editors. 13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters. EAI; 2019.
IEEE
[1]
J. Heyse, F. Ongenae, J. De Letter, A. All, F. De Backere, and F. De Turck, “Design of an ontology for decision support in VR exposure therapy,” in 13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters, Trento, Italy, 2019.
@inproceedings{8628777,
  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.},
  articleno    = {2283493},
  author       = {Heyse, Joris and Ongenae, Femke and De Letter, Jolien and All, Anissa and De Backere, Femke and De Turck, Filip},
  booktitle    = {13th EAI International Conference on Pervasive Computing Technologies for Healthcare : Demos and Posters},
  editor       = {Meyer, J and Mamykina, L},
  isbn         = {9781631901843},
  issn         = {2593-7642},
  language     = {eng},
  location     = {Trento, Italy},
  pages        = {4},
  publisher    = {EAI},
  title        = {Design of an ontology for decision support in VR exposure therapy},
  url          = {http://dx.doi.org/10.4108/eai.20-5-2019.2283493},
  year         = {2019},
}

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