Detecting Input Recognition Errors and User Errors using Gaze Dynamics in Virtual Reality

Sendhilnathan, Naveen; Zhang, Ting; Lafreniere, Ben; Grossman, Tovi; Jonker, Tanya R.

doi:10.1145/3526113.3545628

Cited by 12 publications

(1 citation statement)

References 52 publications

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“…Another approach for addressing the Midas Touch problem is to expand the input dimension such as leveraging multi-modal inputs, which combines gaze with another input modality. The typical multi-modal inputs combine the gaze direction and controller inputs [23,33]. Other works combine gaze and head information.…”

Section: Gaze-based Vr Interactionmentioning

confidence: 99%

FocusFlow: 3D Gaze-Depth Interaction in Virtual Reality Leveraging Active Visual Depth Manipulation

Zhang,

Chen,

Shaffer

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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we propose two learning strategies that use different visual cues to help users master visual depth control. Our user studies on 24 participants demonstrate the usability of our proposed virtual window concept as a gaze-depth interaction method. In addition, our findings reveal that the user experience can be enhanced through an effective learning process with adaptive visual cues, helping users to develop muscle memory for this brand-new input mechanism. We conclude the paper by discussing strategies to optimize learning and potential research topics of gaze-depth interaction. CCS CONCEPTS• Human-centered computing → HCI design and evaluation methods; Virtual reality; Interaction design theory, concepts and paradigms.

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Section: Gaze-based Vr Interactionmentioning

confidence: 99%