Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Original Papers
Effective Assistance for Iterative Visual Search Tasks by Using Gaze-Based Visual Cognition Estimation
Syunsuke YOSHIDAMakoto SEIAkira UTSUMIHirotake YAMAZOE
Author information
JOURNAL FREE ACCESS

2024 Volume 36 Issue 2 Pages 623-630

Details
Abstract

This paper proposes a method to assist in iterative visual search tasks, such as those encountered in driving scenarios, by switching the focus of gaze guidance based on estimations of visual cognition. Unlike conventional methods that start assistance for the subsequent task only after the preceding one has been completed, our approach begins support for the target of the next task as soon as the visual cognition of the current task’s target is confirmed. This anticipatory gaze guidance aims to enhance task efficiency by offering assistance before the completion of the current task. During the experiments, participants were tasked with searching for specified characters in a VR environment to assess the effectiveness of the proposed method. The results indicated that for tasks with higher difficulty levels, completion times were significantly reduced with the VC-based assistance, and confirmed the effectiveness of the method.

Content from these authors
© 2024 Japan Society for Fuzzy Theory and Intelligent Informatics
Previous article Next article
feedback
Top