CasualGaze: Towards Modeling and Recognizing Casual Gaze Behavior for Efficient Gaze-based Object Selection

Fuente: arXiv
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Main Authors: Shi, Yingtian, Yan, Yukang, Li, Zisu, Liang, Chen, Wang, Yuntao, Yu, Chun, Shi, Yuanchun
Format: Preprint
Published: 2024
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author Shi, Yingtian
Yan, Yukang
Li, Zisu
Liang, Chen
Wang, Yuntao
Yu, Chun
Shi, Yuanchun
author_facet Shi, Yingtian
Yan, Yukang
Li, Zisu
Liang, Chen
Wang, Yuntao
Yu, Chun
Shi, Yuanchun
contents We present CasualGaze, a novel eye-gaze-based target selection technique to support natural and casual eye-gaze input. Unlike existing solutions that require users to keep the eye-gaze center on the target actively, CasualGaze allows users to glance at the target object to complete the selection simply. To understand casual gaze behavior, we studied the spatial distribution of casual gaze for different layouts and user behavior in a simulated real-world environment. Results revealed the impacts of object parameters, the speed and randomness features of casual gaze, and special gaze behavior patterns in "blurred areas". Based on the results, we devised CasualGaze algorithms, employing a bivariate Gaussian distribution model along with temporal compensation and voting algorithms for robust target prediction. Usability evaluation study showed significant improvements in recognition and selection speed for CasualGaze compared with two baseline techniques. Subjective ratings and comments further supported the preference for CasualGaze regarding efficiency, accuracy, and stability.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12710
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle CasualGaze: Towards Modeling and Recognizing Casual Gaze Behavior for Efficient Gaze-based Object Selection
Shi, Yingtian
Yan, Yukang
Li, Zisu
Liang, Chen
Wang, Yuntao
Yu, Chun
Shi, Yuanchun
Human-Computer Interaction
We present CasualGaze, a novel eye-gaze-based target selection technique to support natural and casual eye-gaze input. Unlike existing solutions that require users to keep the eye-gaze center on the target actively, CasualGaze allows users to glance at the target object to complete the selection simply. To understand casual gaze behavior, we studied the spatial distribution of casual gaze for different layouts and user behavior in a simulated real-world environment. Results revealed the impacts of object parameters, the speed and randomness features of casual gaze, and special gaze behavior patterns in "blurred areas". Based on the results, we devised CasualGaze algorithms, employing a bivariate Gaussian distribution model along with temporal compensation and voting algorithms for robust target prediction. Usability evaluation study showed significant improvements in recognition and selection speed for CasualGaze compared with two baseline techniques. Subjective ratings and comments further supported the preference for CasualGaze regarding efficiency, accuracy, and stability.
title CasualGaze: Towards Modeling and Recognizing Casual Gaze Behavior for Efficient Gaze-based Object Selection
topic Human-Computer Interaction
url https://arxiv.org/abs/2408.12710