abstract

Preliminary analysis of visual cognition estimation in VR toward effective assistance timing for iterative visual search tasks

Authors:

Syunsuke Yoshida,

Makoto Sei,

Akira Utsumi, and

Hirotake YamazoeAuthors Info & Claims

VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology

December 2021

Article No.: 89, Pages 1 - 3

https://doi.org/10.1145/3489849.3489954

Published: 08 December 2021 Publication History

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Abstract

This research aims to develop a method to assist iterative visual search tasks, and it focuses on visual cognition to achieve effective assistance. As a first step to this goal, we analyzed the participants’ gaze behaviors when they visually recognized a target in a VR environment. In the experiment, the effect of visual cognition difficulty (VCD) is considered. Analysis results show that the participants could visually recognize lower-VCD targets at an earlier timing. This suggests that VCD-based guidance may improve task performance.

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Yoshida SSei MUtsumi AYamazoe H(2022)Preliminary analysis of effective assistance timing for iterative visual search tasks using gaze-based visual cognition estimation2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00179(656-657)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00179

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Published In

VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology

December 2021

563 pages

ISBN:9781450390927

DOI:10.1145/3489849

Editors:
Yuichi Itoh
Aoyama Gakuin University, Japan
,
Kazuki Takashima
Tohoku University, Japan
,
Parinya Punpongsanon
Osaka University, Japan
,
Misha Sra
University of California, Santa Barbara, USA
,
Kazuyuki Fujita
Tohoku University, Japan
,
Shigeo Yoshida
The University of Tokyo, Japan
,
Tham Piumsomboon
University of Canterbury, New Zealand

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

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Published: 08 December 2021

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Japan Society for the Promotion of Science

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VRST '21

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VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology

December 8 - 10, 2021

Osaka, Japan

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Overall Acceptance Rate 66 of 254 submissions, 26%

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30th ACM Symposium on Virtual Reality Software and Technology

October 9 - 11, 2024

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Yoshida SSei MUtsumi AYamazoe H(2022)Preliminary analysis of effective assistance timing for iterative visual search tasks using gaze-based visual cognition estimation2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00179(656-657)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00179

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Visual saliency estimation using constraints

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