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Real-time anxiety prediction in virtual reality therapy: research proposal

Authors:

Deniz Mevlevioğlu,

David MurphyAuthors Info & Claims

MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference

Pages 352 - 356

https://doi.org/10.1145/3524273.3533926

Published: 05 August 2022 Publication History

Abstract

This paper contains the research proposal of Deniz Mevlevioglu that was presented at the MMSys 2022 doctoral symposium. The benefits of real-time anxiety prediction in Virtual Reality are vast, including uses from therapy to entertainment. These anxiety predictions can be made using biosensors by tracking physiological measurements such as heart rate, electrical brain activity and skin conductivity. However, there are multiple challenges when trying to achieve accurate predictions. First of all, defining anxiety in a useful context and getting objective measurements to predict it can be difficult due to different interpretations of the word. Secondly, personal differences can make it difficult to fit everyone into a generalisable model. Lastly, Virtual Reality strives for immersion, and many systems that use objective measures such as on-body sensors to detect anxiety can make it hard for the user to immerse themselves into the virtual world. Our research aims to come up with a system that will address these problems and manage to get accurate and objective predictions of anxiety in real-time while still allowing the users to be immersed in the experience. To this end, we aim to use fast-performing classification models with multi-modal on-body sensor data to maximise comfort and minimise noise and inaccuracies.

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Cited By

Assaf MLemouchi RAl-Hussein MLi X(2023)A Collaborative Planning Model for Offsite Construction Based on Virtual Reality and Game EnginesCONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality10.36253/979-12-215-0289-3.05(46-56)Online publication date: 2023
https://doi.org/10.36253/979-12-215-0289-3.05
Assaf MLemouchi RAl-Hussein MLi X(2023)A Collaborative Planning Model for Offsite Construction Based on Virtual Reality and Game EnginesCONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality10.36253/10.36253/979-12-215-0289-3.05(46-56)Online publication date: 2023
https://doi.org/10.36253/10.36253/979-12-215-0289-3.05
Ohsuga MKoba H(2022)Development of VR Exposure Therapy Support System for Social Anxiety Utilizing Anxiety Levels Estimated by Physiological IndicesHCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging10.1007/978-3-031-17902-0_10(130-141)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-17902-0_10

Index Terms

Real-time anxiety prediction in virtual reality therapy: research proposal
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality

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Published In

cover image ACM Conferences

MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference

June 2022

432 pages

ISBN:9781450392839

DOI:10.1145/3524273

General Chairs:
Niall Murray
Technological University of the Shannon: Midlands Midwest
,
Gwendal Simon
Synamedia
,
Mylene Farias
University of Brasilia
,
Program Chairs:
Irene Viola
Centrum Wiskunde & Informatica
,
Mario Montagud
i2CAT Foundation & University of Valencia

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 August 2022

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SFI ADVANCE CRT

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MMSys '22

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SIGMM

MMSys '22: 13th ACM Multimedia Systems Conference

June 14 - 17, 2022

Athlone, Ireland

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Overall Acceptance Rate 176 of 530 submissions, 33%

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Cited By

Assaf MLemouchi RAl-Hussein MLi X(2023)A Collaborative Planning Model for Offsite Construction Based on Virtual Reality and Game EnginesCONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality10.36253/979-12-215-0289-3.05(46-56)Online publication date: 2023
https://doi.org/10.36253/979-12-215-0289-3.05
Assaf MLemouchi RAl-Hussein MLi X(2023)A Collaborative Planning Model for Offsite Construction Based on Virtual Reality and Game EnginesCONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality10.36253/10.36253/979-12-215-0289-3.05(46-56)Online publication date: 2023
https://doi.org/10.36253/10.36253/979-12-215-0289-3.05
Ohsuga MKoba H(2022)Development of VR Exposure Therapy Support System for Social Anxiety Utilizing Anxiety Levels Estimated by Physiological IndicesHCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging10.1007/978-3-031-17902-0_10(130-141)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-17902-0_10

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