Sensor-Based Virtual Reality for Clinical Decision Support in the Assessment of Mental Disorders

Bryant Niederriter, Alice Rong, Faisal Aqlan, Hui Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Recent reports show that 1 in 4 families has at least one member with a mental disorder. In the current practice, most diagnosis methods in psychiatry are based on clinical interviews and questionnaires, which are subjective and can lead to recalls and interviewer biases. In the healthcare context, Virtual Reality (VR) has shown a strong potential to improve decision making and help patients to better connect with reality, cope with pain, and overcome mental disorders such as anxiety and depression. This study integrates sensing technology (i.e., eye tracking) with a VR simulation of healthcare environments to improve the clinical decision-support system for diagnosis and assessment of mental disorders. Traditional scenario-based patient simulations are used as a basis for the development of VR modules. Data collected via the eye-tracking sensing technology are utilized to develop analytical models for predicting the risk of mental illness. Moreover, artificial intelligence (AI) tools for VR-based healthcare training help medical students learn faster and make smarter decisions. This research helps contribute to improved population health by developing new methods for promoting health and effectively predicting and treating mental disorders.

Original languageEnglish (US)
Title of host publicationIEEE Conference on Games, CoG 2020
PublisherIEEE Computer Society
Pages666-669
Number of pages4
ISBN (Electronic)9781728145334
DOIs
StatePublished - Aug 2020
Event2020 IEEE Conference on Games, CoG 2020 - Virtual, Osaka, Japan
Duration: Aug 24 2020Aug 27 2020

Publication series

NameIEEE Conference on Computational Intelligence and Games, CIG
Volume2020-August
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Conference

Conference2020 IEEE Conference on Games, CoG 2020
CountryJapan
CityVirtual, Osaka
Period8/24/208/27/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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