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Lookup NU author(s): Professor Nick HollimanORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
Visual search is a task that is carried out in a number of important security and health related scenarios (e.g., X-ray baggage screening, radiography). With recent and ongoing developments in the technology available to present images to observers in stereoscopic depth, there has been increasing interest in assessing whether depth information can be used in complex search tasks to improve search performance. Here we outline the methodology that we developed, along with both software and hardware information, in order to assess visual search performance in complex, overlapping stimuli that also contained depth information. In doing so, our goal is to foster further research along these lines in the future. We also provide an overview with initial results of the experiments that we have conducted involving participants searching stimuli that contain overlapping objects presented on different depth planes to one another. Thus far, we have found that depth information does improve the speed (but not accuracy) of search, but only when the stimuli are highly complex and contain a significant degree of overlap. Depth information may therefore aid real-world search tasks that involve the examination of complex, overlapping stimuli.
Author(s): Godwin H, Holliman NS, Menneer T, Liversedge S, Cave K, Donnelly N
Editor(s): Holliman, NS; Woods, AJ; Favalora, GE; Kawai, T
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Stereoscopic Displays and Applications XXVI
Year of Conference: 2015
Print publication date: 17/03/2015
Acceptance date: 01/01/1900
Date deposited: 16/12/2015
Publisher: SPIE--The International Society for Optical Engineering