abstract

Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline.

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Marius LeordeanuAuthors Info & Claims

VRST '18: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology

Article No.: 78, Pages 1 - 2

https://doi.org/10.1145/3281505.3281583

Published: 28 November 2018 Publication History

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Abstract

This paper presents the design and development of a Virtual Reality game for treating acrophobia, as well as a comparative study between the players' performance in the game, under two different conditions - one in which the difficulty levels are adjusted according to the subjects' biophysical data and one in which they are not. The results showed an improvement of the parameters correlated with fear level in the first experiment.

References

[1]

D.O Bos. 2006. EEG-based emotion recognition. The Influence of Visual and Auditory Stimuli University.

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[2]

K. Arikan, N.N. Boutros, E. Bozhuyuk, B.C. Poyraz, B.M. Savrun, R. Bayar, et al. 2006. EEG correlates of startle reflex with reactivity to eye opening in psychiatric disorders: preliminary results. Clin EEG Neurosci., 37:230--4

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Bălan OMoise GMoldoveanu ALeordeanu MMoldoveanu F(2020)An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual TherapySensors10.3390/s2002049620:2(496)Online publication date: 15-Jan-2020
https://doi.org/10.3390/s20020496
Bălan OCristea ȘMoise GPetrescu LIvașcu SMoldoveanu AMoldoveanu FLeordeanu M(2020)eTher – An Assistive Virtual Agent for Acrophobia Therapy in Virtual RealityHCI International 2020 – Late Breaking Papers: Virtual and Augmented Reality10.1007/978-3-030-59990-4_2(12-25)Online publication date: 8-Oct-2020
https://doi.org/10.1007/978-3-030-59990-4_2

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Does automatic game difficulty level adjustment improve acrophobia therapy?: differences from baseline.

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Published In

VRST '18: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology

November 2018

570 pages

ISBN:9781450360869

DOI:10.1145/3281505

Editor:
Stephen N. Spencer
University of Washington
,
General Chair:
Shigeo Morishima
Waseda University
,
Program Chairs:
Yuichi Itoh
Osaka University
,
Takaaki Shiratori
Facebook Reality Labs
,
Yonghao Yue
The University of Tokyo
,
Rob Lindeman
University of Canterbury

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2018

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University Politehnica of Bucharest

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VRST '18

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VRST '18: 24th ACM Symposium on Virtual Reality Software and Technology

November 28 - December 1, 2018

Tokyo, Japan

Acceptance Rates

Overall Acceptance Rate 66 of 254 submissions, 26%

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VRST '24

Sponsor:
sigchi
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30th ACM Symposium on Virtual Reality Software and Technology

October 9 - 11, 2024

Trier , Germany

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Cited By

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Bălan OMoise GMoldoveanu ALeordeanu MMoldoveanu F(2020)An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual TherapySensors10.3390/s2002049620:2(496)Online publication date: 15-Jan-2020
https://doi.org/10.3390/s20020496
Bălan OCristea ȘMoise GPetrescu LIvașcu SMoldoveanu AMoldoveanu FLeordeanu M(2020)eTher – An Assistive Virtual Agent for Acrophobia Therapy in Virtual RealityHCI International 2020 – Late Breaking Papers: Virtual and Augmented Reality10.1007/978-3-030-59990-4_2(12-25)Online publication date: 8-Oct-2020
https://doi.org/10.1007/978-3-030-59990-4_2

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