Towards using involuntary body gestures for measuring the user engagement in VR gaming

Don Samitha Elvitigala; Rukshani Somarathna; Yijun Yan; Gelareh Mohammadi; Aaron Quigley

doi:10.1145/3526114.3558691

Towards using involuntary body gestures for measuring the user engagement in VR gaming

Don Samitha Elvitigala, Rukshani Somarathna, Yijun Yan, Gelareh Mohammadi, Aaron Quigley

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

Understanding the degree of user engagement in a VR game is vital to provide a better gaming experience. While prior work has suggested self-reports, and biological signal-based methods, measuring game engagement remains a challenge due to its complex nature. In this work, we provide a preliminary exploration of using involuntary body gestures to measure user engagement in VR gaming. Based on data collected from 27 participants performing multiple VR games, we demonstrate a relationship between foot gesture-based models for measuring arousal and physiological responses while engaging in VR games. Our findings show the possibility of using involuntary body gestures to measure engagement.

Original language	English
Title of host publication	Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
Editors	Eytan Adar, Vidya Setlur
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	3
ISBN (Electronic)	9781450393218
DOIs	https://doi.org/10.1145/3526114.3558691
Publication status	Published - 2022
Externally published	Yes
Event	ACM Symposium on User Interface Software and Technology 2022 - Bend, United States of America Duration: 29 Oct 2022 → 2 Nov 2022 Conference number: 35th https://uist.acm.org/uist2022/ (Website) https://dl.acm.org/doi/proceedings/10.1145/3526114 (Proceedings)

Conference

Conference	ACM Symposium on User Interface Software and Technology 2022
Abbreviated title	UIST 2022
Country/Territory	United States of America
City	Bend
Period	29/10/22 → 2/11/22
Internet address	https://uist.acm.org/uist2022/ (Website) https://dl.acm.org/doi/proceedings/10.1145/3526114 (Proceedings)

Keywords

Body Gestures
Component Process Model
Emotions
Foot Gestures
Gaming
IMU
Play
Stress
VR
VR Games

Access to Document

10.1145/3526114.3558691

Cite this

Elvitigala, D. S., Somarathna, R., Yan, Y., Mohammadi, G., & Quigley, A. (2022). Towards using involuntary body gestures for measuring the user engagement in VR gaming. In E. Adar, & V. Setlur (Eds.), Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology Article 5 Association for Computing Machinery (ACM). https://doi.org/10.1145/3526114.3558691

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title = "Towards using involuntary body gestures for measuring the user engagement in VR gaming",

abstract = "Understanding the degree of user engagement in a VR game is vital to provide a better gaming experience. While prior work has suggested self-reports, and biological signal-based methods, measuring game engagement remains a challenge due to its complex nature. In this work, we provide a preliminary exploration of using involuntary body gestures to measure user engagement in VR gaming. Based on data collected from 27 participants performing multiple VR games, we demonstrate a relationship between foot gesture-based models for measuring arousal and physiological responses while engaging in VR games. Our findings show the possibility of using involuntary body gestures to measure engagement.",

keywords = "Body Gestures, Component Process Model, Emotions, Foot Gestures, Gaming, IMU, Play, Stress, VR, VR Games",

author = "Elvitigala, \{Don Samitha\} and Rukshani Somarathna and Yijun Yan and Gelareh Mohammadi and Aaron Quigley",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; ACM Symposium on User Interface Software and Technology 2022, UIST 2022 ; Conference date: 29-10-2022 Through 02-11-2022",

year = "2022",

doi = "10.1145/3526114.3558691",

language = "English",

editor = "Eytan Adar and Vidya Setlur",

booktitle = "Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

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Elvitigala, DS, Somarathna, R, Yan, Y, Mohammadi, G & Quigley, A 2022, Towards using involuntary body gestures for measuring the user engagement in VR gaming. in E Adar & V Setlur (eds), Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology., 5, Association for Computing Machinery (ACM), New York NY USA, ACM Symposium on User Interface Software and Technology 2022, Bend, Oregon, United States of America, 29/10/22. https://doi.org/10.1145/3526114.3558691

Towards using involuntary body gestures for measuring the user engagement in VR gaming. / Elvitigala, Don Samitha; Somarathna, Rukshani; Yan, Yijun et al.
Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. ed. / Eytan Adar; Vidya Setlur. New York NY USA: Association for Computing Machinery (ACM), 2022. 5.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Towards using involuntary body gestures for measuring the user engagement in VR gaming

AU - Elvitigala, Don Samitha

AU - Somarathna, Rukshani

AU - Yan, Yijun

AU - Mohammadi, Gelareh

AU - Quigley, Aaron

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AB - Understanding the degree of user engagement in a VR game is vital to provide a better gaming experience. While prior work has suggested self-reports, and biological signal-based methods, measuring game engagement remains a challenge due to its complex nature. In this work, we provide a preliminary exploration of using involuntary body gestures to measure user engagement in VR gaming. Based on data collected from 27 participants performing multiple VR games, we demonstrate a relationship between foot gesture-based models for measuring arousal and physiological responses while engaging in VR games. Our findings show the possibility of using involuntary body gestures to measure engagement.

KW - Body Gestures

KW - Component Process Model

KW - Emotions

KW - Foot Gestures

KW - Gaming

KW - IMU

KW - Play

KW - Stress

KW - VR

KW - VR Games

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A2 - Adar, Eytan

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Elvitigala DS, Somarathna R, Yan Y, Mohammadi G, Quigley A. Towards using involuntary body gestures for measuring the user engagement in VR gaming. In Adar E, Setlur V, editors, Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. New York NY USA: Association for Computing Machinery (ACM). 2022. 5 doi: 10.1145/3526114.3558691

Towards using involuntary body gestures for measuring the user engagement in VR gaming

Abstract

Conference

Keywords

Access to Document

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