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Visual Search Fixation Strategies in a 3D Image Set: An Eye-Tracking Study
Interacting with Computers ( IF 1.0 ) Pub Date : 2020-08-17 , DOI: 10.1093/iwc/iwaa018
Markos Kyritsis 1 , Stephen R Gulliver 1 , Eva Feredoes 2
Affiliation  

In this study, we explore whether the inclusion of monocular depth within a pseudo-3D picture gallery negatively affects visual search strategy and performance. Experimental design facilitated control of (i) the number of visible depth planes and (ii) the presence of semantic sorting. Our results show that increasing the number of visual depth planes facilitates efficiency in search, which in turn results in a decreased response time to target selection and a reduction in participant average pupil dilation—used for measuring cognitive load. Furthermore, results identified that search strategy is based on sorting, which implies that an appropriate management of semantic associations can increase search efficiency by decreasing the number of potential targets.

中文翻译:

3D图像集中的视觉搜索固定策略:眼动研究

在这项研究中,我们探讨了在伪3D图片库中包含单眼深度是否会对视觉搜索策略和性能产生负面影响。实验设计有助于控制(i)可见深度平面的数量和(ii)语义排序的存在。我们的结果表明,增加视觉深度平面的数量有助于提高搜索效率,进而减少对目标选择的响应时间,并减少用于测量认知负荷的参与者平均瞳孔散大。此外,结果确定搜索策略是基于排序的,这意味着对语义关联的适当管理可以通过减少潜在目标的数量来提高搜索效率。
更新日期:2020-08-17
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