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Exploring Gaze-Based Menu Navigation in Virtual Environments

Published: 07 October 2024 Publication History

Abstract

With the integration of eye tracking technologies in Augmented Reality (AR) and Virtual Reality (VR) headsets, gaze-based interactions have opened up new possibilities for user interface design, including menu navigation. Prior research in gaze-based menu navigation in VR has predominantly focused on pie menus, yet recent studies indicate a user preference for list layouts. However, the comparison of gaze-based interactions on list menus is lacking in the literature. This work aims to fill this gap by exploring the viability of list menus for multi-level gaze-based menu navigation in VR and evaluating the efficiency of various gaze-based interactions, such as dwelling and border-crossing, against traditional controller navigation and multi-modal interaction using gaze and button press.

References

[1]
Sunggeun Ahn, Stephanie Santosa, Mark Parent, Daniel Wigdor, Tovi Grossman, and Marcello Giordano. 2021. StickyPie: A Gaze-Based, Scale-Invariant Marking Menu Optimized for AR/VR. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3411764.3445297
[2]
John Brooke. 1996. SUS: A ’Quick and Dirty’ Usability Scale. In Usability Evaluation In Industry (1st edition ed.). CRC Press, 6. https://doi.org/10.1201/9781498710411
[3]
Robert J. K. Jacob. 1991. The use of eye movements in human-computer interaction techniques: what you look at is what you get. ACM Transactions on Information Systems 9, 2 (April 1991), 152–169. https://doi.org/10.1145/123078.128728
[4]
Taejun Kim, Auejin Ham, Sunggeun Ahn, and Geehyuk Lee. 2022. Lattice Menu: A Low-Error Gaze-Based Marking Menu Utilizing Target-Assisted Gaze Gestures on a Lattice of Visual Anchors. In CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3491102.3501977
[5]
Irina Lediaeva and Joseph LaViola. 2020. Evaluation of Body-Referenced Graphical Menus in Virtual Environments. (2020). https://doi.org/10.20380/GI2020.31
[6]
Pedro Monteiro, Hugo Coelho, Guilherme Goncalves, Miguel Melo, and Maximino Bessa. 2019. Comparison of Radial and Panel Menus in Virtual Reality. IEEE Access 7 (2019), 116370–116379. https://doi.org/10.1109/access.2019.2933055
[7]
Aunnoy Mutasim, Anil Ufuk Batmaz, Moaaz Hudhud Mughrabi, and Wolfgang Stuerzlinger. 2022. Performance Analysis of Saccades for Primary and Confirmatory Target Selection. In 28th ACM Symposium on Virtual Reality Software and Technology. ACM. https://doi.org/10.1145/3562939.3565619
[8]
Ludwig Sidenmark, Dominic Potts, Bill Bapisch, and Hans Gellersen. 2021. Radi-Eye: Hands-Free Radial Interfaces for 3D Interaction using Gaze-Activated Head-Crossing. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3411764.3445697

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Published In

cover image ACM Conferences
SUI '24: Proceedings of the 2024 ACM Symposium on Spatial User Interaction
October 2024
396 pages
ISBN:9798400710889
DOI:10.1145/3677386
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: 07 October 2024

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Author Tags

  1. Extended Reality (XR)
  2. Eye Tracking
  3. Gaze-based Interaction
  4. Menu Navigation

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SUI '24

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Overall Acceptance Rate 86 of 279 submissions, 31%

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