Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition

Yun Xuan Lin; Sabarish V. Babu; Rohith Venkatakrishnan; Roshan Venkatakrishnan; Ying Chu Wang; Wen-Chieh Lin

doi:10.1109/VRW50115.2020.00163

Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition

Yun Xuan Lin, Sabarish V. Babu, Rohith Venkatakrishnan, Roshan Venkatakrishnan, Ying Chu Wang, Wen-Chieh Lin

Institute of Multimedia Engineering

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

2 Scopus citations

Abstract

Cybersickness is one of the challenges that has prevented the widespread adoption of Virtual Reality (VR) and its applications. Due to its importance, there have been extensive studies on understanding and reducing cybersickness. Inspired by previous work that has sought to reduce cybersickness by applying the blurring effect and reducing the field of view of VR scenes, we present a simulation with controllable peripheral blur in the VR image. The simulation can be used to study cybersickness and spatial knowledge acquisition in an engaging virtual walking scenario.

Original language	English
Title of host publication	Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	625-626
Number of pages	2
ISBN (Electronic)	9781728165325
DOIs	https://doi.org/10.1109/VRW50115.2020.00163
State	Published - Mar 2020
Event	2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 - Atlanta, United States Duration: 22 Mar 2020 → 26 Mar 2020

Publication series

Name	Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

Conference

Conference	2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
Country/Territory	United States
City	Atlanta
Period	22/03/20 → 26/03/20

Keywords

Cybersickness
Peripheral Blur
Virtual Reality

Access to Document

10.1109/VRW50115.2020.00163

Cite this

Lin, Y. X., Babu, S. V., Venkatakrishnan, R., Venkatakrishnan, R., Wang, Y. C., & Lin, W.-C. (2020). Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition. In Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 (pp. 625-626). Article 9090510 (Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VRW50115.2020.00163

Lin, Yun Xuan ; Babu, Sabarish V. ; Venkatakrishnan, Rohith et al. / Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition. Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 625-626 (Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020).

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title = "Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition",

abstract = "Cybersickness is one of the challenges that has prevented the widespread adoption of Virtual Reality (VR) and its applications. Due to its importance, there have been extensive studies on understanding and reducing cybersickness. Inspired by previous work that has sought to reduce cybersickness by applying the blurring effect and reducing the field of view of VR scenes, we present a simulation with controllable peripheral blur in the VR image. The simulation can be used to study cybersickness and spatial knowledge acquisition in an engaging virtual walking scenario.",

keywords = "Cybersickness, Peripheral Blur, Virtual Reality",

author = "Lin, {Yun Xuan} and Babu, {Sabarish V.} and Rohith Venkatakrishnan and Roshan Venkatakrishnan and Wang, {Ying Chu} and Wen-Chieh Lin",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 ; Conference date: 22-03-2020 Through 26-03-2020",

year = "2020",

month = mar,

doi = "10.1109/VRW50115.2020.00163",

language = "English",

series = "Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "625--626",

booktitle = "Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020",

address = "美國",

}

Lin, YX, Babu, SV, Venkatakrishnan, R, Venkatakrishnan, R, Wang, YC & Lin, W-C 2020, Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition. in Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020., 9090510, Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020, Institute of Electrical and Electronics Engineers Inc., pp. 625-626, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020, Atlanta, United States, 22/03/20. https://doi.org/10.1109/VRW50115.2020.00163

Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition. / Lin, Yun Xuan; Babu, Sabarish V.; Venkatakrishnan, Rohith et al.
Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 625-626 9090510 (Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020).

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

TY - GEN

T1 - Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition

AU - Lin, Yun Xuan

AU - Babu, Sabarish V.

AU - Venkatakrishnan, Rohith

AU - Venkatakrishnan, Roshan

AU - Wang, Ying Chu

AU - Lin, Wen-Chieh

PY - 2020/3

Y1 - 2020/3

N2 - Cybersickness is one of the challenges that has prevented the widespread adoption of Virtual Reality (VR) and its applications. Due to its importance, there have been extensive studies on understanding and reducing cybersickness. Inspired by previous work that has sought to reduce cybersickness by applying the blurring effect and reducing the field of view of VR scenes, we present a simulation with controllable peripheral blur in the VR image. The simulation can be used to study cybersickness and spatial knowledge acquisition in an engaging virtual walking scenario.

AB - Cybersickness is one of the challenges that has prevented the widespread adoption of Virtual Reality (VR) and its applications. Due to its importance, there have been extensive studies on understanding and reducing cybersickness. Inspired by previous work that has sought to reduce cybersickness by applying the blurring effect and reducing the field of view of VR scenes, we present a simulation with controllable peripheral blur in the VR image. The simulation can be used to study cybersickness and spatial knowledge acquisition in an engaging virtual walking scenario.

KW - Cybersickness

KW - Peripheral Blur

KW - Virtual Reality

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U2 - 10.1109/VRW50115.2020.00163

DO - 10.1109/VRW50115.2020.00163

M3 - Conference contribution

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T3 - Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

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BT - Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

Y2 - 22 March 2020 through 26 March 2020

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Lin YX, Babu SV, Venkatakrishnan R, Venkatakrishnan R, Wang YC, Lin WC. Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition. In Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 625-626. 9090510. (Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020). doi: 10.1109/VRW50115.2020.00163

Towards an Immersive Virtual Simulation for Studying Cybersickness during Spatial Knowledge Acquisition

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