Uncertainty visualization of gaze estimation to support operator-controlled calibration

In this paper, we investigate how visualization assets can support the qualitative evaluation of gaze estimation uncertainty. Although eye tracking data are commonly available, little has been done to visually investigate the uncertainty of recorded gaze information. This paper tries to fill this ga...

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Main Authors: Almoctar Hassoumi (Author), Vsevolod Peysakhovich (Author), Christophe Hurter (Author)
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出版: Bern Open Publishing, 2018-02-01T00:00:00Z.
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索引号: A1234.567
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