The interplay of user preference and precision in different gaze-based interaction methods in virtual environments

Introduction Extended reality (XR) technologies, particularly gaze‐based interaction methods, have evolved significantly in recent years to improve accessibility and reach broader user communities. While previous research has improved the simplicity and inclusivity of gaze-based choice, the adaptability of such systems ‐ particularly in terms of user comfort and fault tolerance ‐ has not yet been fully explored. Methods In this study, four gaze‐based interaction techniques were examined in a visual search game in virtual reality (VR). A total of 52 participants were involved. The techniques tested included selection by dwell time, confirmation by head orientation, nodding and smooth pursuit eye movements. Both subjective and objective performance measures were assessed, using the NASA‐TLX for perceived task load and time to complete the task and score for objective evaluation. Results Significant differences were found between the interaction techniques in terms of NASA‐TLX dimensions, target search time and overall performance. The results indicate different levels of efficiency and intuitiveness of each method. Gender differences in interaction preferences and cognitive load were also found. Discussion These findings highlight the importance of personalizing gaze‐based VR interfaces to the individual user to improve accessibility, reduce cognitive load and enhance the user experience. Personalizing gaze interaction strategies can support more inclusive and effective VR systems that benefit both general and accessibility‐focused populations.

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Publication Details

Journal
Frontiers in Virtual Reality
Published
2025-04-16
DOI
https://doi.org/10.3389/frvir.2025.1576962
Citations
4
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
7.74

Funders

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The interplay of user preference and precision in different gaze-based interaction methods in virtual environments

Alexander Neugebauer, Nora Castner, Siegfried Wahl, Rajat Agarwala et al.
4 citations
Frontiers in Virtual Reality
Gaze Tracking and Assistive Technology
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article

The interplay of user preference and precision in different gaze-based interaction methods in virtual environments

Alexander Neugebauer, Nora Castner, Siegfried Wahl, Rajat Agarwala, Yannick Sauer, Björn Severitt
article en
4 citations

Abstract

Introduction Extended reality (XR) technologies, particularly gaze‐based interaction methods, have evolved significantly in recent years to improve accessibility and reach broader user communities. While previous research has improved the simplicity and inclusivity of gaze-based choice, the adaptability of such systems ‐ particularly in terms of user comfort and fault tolerance ‐ has not yet been fully explored. Methods In this study, four gaze‐based interaction techniques were examined in a visual search game in virtual reality (VR). A total of 52 participants were involved. The techniques tested included selection by dwell time, confirmation by head orientation, nodding and smooth pursuit eye movements. Both subjective and objective performance measures were assessed, using the NASA‐TLX for perceived task load and time to complete the task and score for objective evaluation. Results Significant differences were found between the interaction techniques in terms of NASA‐TLX dimensions, target search time and overall performance. The results indicate different levels of efficiency and intuitiveness of each method. Gender differences in interaction preferences and cognitive load were also found. Discussion These findings highlight the importance of personalizing gaze‐based VR interfaces to the individual user to improve accessibility, reduce cognitive load and enhance the user experience. Personalizing gaze interaction strategies can support more inclusive and effective VR systems that benefit both general and accessibility‐focused populations.

Frontiers in Virtual RealityVol. 6
Carl Zeiss (Germany) (DE), University of Tübingen (DE)
European Commission, Deutsche Forschungsgemeinschaft, Eberhard Karls Universität Tübingen
Openalex Percentile: Top 3%
Gaze Tracking and Assistive Technology
7.74
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