BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection

Li, Zhi; Zhao, Maozheng; Wang, Yifan; Rashidian, Sina; Baig, Furqan; Li, Rui; Liu, Wanyu; Beaudouin-Lafon, Michel; Ellison, Brooke; Wang, Fusheng; Bi, Xiaojun

doi:10.20380/gi2021.35

Cited by 3 publications

(1 citation statement)

References 39 publications

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“…Poor precision can be addressed via filtering [10,19,71]. Gaze-based systems have also used algorithms to map gaze positions and sequences to objects when input is uncertain [9,41,52,70,72]. There have also been numerous gaze-based interaction techniques that have been proposed to improve interaction by increasing target or cursor sizes via zooming [12,39], the use of area cursors [12], cursors that can be nudged via gaze-based buttons [56], or by the incremental disambiguation of possible targets [42].…”

Section: Handling Eye Tracking Errormentioning

confidence: 99%

Weighted Pointer: Error-aware Gaze-based Interaction through Fallback Modalities

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et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Fig. 1. The Weighted Pointer provides stable gaze-based pointing interaction irrespective of gaze signal quality via fallback modalities.The techniques detect the eye tracking error level and determines the relative weighting to assign between gaze and the fallback modality. A: The pointer direction (red) is aligned with gaze (orange) when the gaze signal is stable. B: The pointer relies on both gaze and the fallback modality (e.g., head direction, green) if the gaze signal deteriorates. C: The pointer fully relies on the fallback modality if gaze is deemed to be unusable for interaction.

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