Eye movements during change detection: the role of depth of field. Issue 2 (19th June 2019)

• Record Type: Journal Article
• Authors: Zhang, Tingting; Xia, Ling; Liu, Xiaofeng; Wu, Xiaoli
• Is Part Of: Cognitive computation and systems. Volume 1:Issue 2(2019)
• Page Start: 55
• Page End: 59
• Publication Date: 2019-06-19
• Subjects: visual perception -- eye -- data visualisation; flickering scenes -- participants -- eye‐tracker Tobii X120 -- change blindness phenomenon -- flicker paradigm -- within‐subjects experiment -- detecting changes -- eye movements -- change detection; Cognitive science -- Periodicals; Artificial intelligence -- Periodicals; Neurosciences -- Periodicals; Computer science -- Periodicals; Neurosciences; Computer science; Cognitive science; Artificial intelligence; Periodicals; Electronic journals; 006.3
• DOI: 10.1049/ccs.2019.0003
• Languages: English
• ISSNs: 2517-7567

Abstract

Abstract : This study investigates the eye movements when detecting changes in the scene with different levels of depth of field. A within‐subjects experiment was conducted using a flicker paradigm to create change blindness phenomenon. This experiment investigated two main factors: depth of field and position. The eye‐tracker Tobii X120 was used to record participants' eye movements when looking for changes in the flickering scenes. It was concluded that a small depth of field could indeed direct viewers' attention into the sharp area. The size of the depth of field could not influence the amount of time for change detection whereas uniform blur could facilitate change detection.