Eye movements during change detection: the role of depth of field

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...

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Main Authors: Tingting Zhang, Ling Xia, Xiaofeng Liu, Xiaoli Wu
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:Cognitive Computation and Systems
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0003
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author Tingting Zhang
Ling Xia
Xiaofeng Liu
Xiaoli Wu
author_facet Tingting Zhang
Ling Xia
Xiaofeng Liu
Xiaoli Wu
author_sort Tingting Zhang
collection DOAJ
description 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.
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spelling doaj.art-59381f1c7dfb493388480e4dcaf2a2fb2022-12-21T22:46:26ZengWileyCognitive Computation and Systems2517-75672019-05-0110.1049/ccs.2019.0003CCS.2019.0003Eye movements during change detection: the role of depth of fieldTingting Zhang0Ling Xia1Xiaofeng Liu2Xiaoli Wu3Jiangsu Key Laboratory of Special Robot Technology, College of Internet of Things Engineering, Hohai UniversityJiangsu Key Laboratory of Special Robot Technology, College of Internet of Things Engineering, Hohai UniversityJiangsu Key Laboratory of Special Robot Technology, College of Internet of Things Engineering, Hohai UniversityCollege of Mechanical and Electrical Engineering, Hohai UniversityThis 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.https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0003visual perceptioneyedata visualisationflickering scenesparticipantseye-tracker tobii x120change blindness phenomenonflicker paradigmwithin-subjects experimentdetecting changeseye movementschange detection
spellingShingle Tingting Zhang
Ling Xia
Xiaofeng Liu
Xiaoli Wu
Eye movements during change detection: the role of depth of field
Cognitive Computation and Systems
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
title Eye movements during change detection: the role of depth of field
title_full Eye movements during change detection: the role of depth of field
title_fullStr Eye movements during change detection: the role of depth of field
title_full_unstemmed Eye movements during change detection: the role of depth of field
title_short Eye movements during change detection: the role of depth of field
title_sort eye movements during change detection the role of depth of field
topic 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
url https://digital-library.theiet.org/content/journals/10.1049/ccs.2019.0003
work_keys_str_mv AT tingtingzhang eyemovementsduringchangedetectiontheroleofdepthoffield
AT lingxia eyemovementsduringchangedetectiontheroleofdepthoffield
AT xiaofengliu eyemovementsduringchangedetectiontheroleofdepthoffield
AT xiaoliwu eyemovementsduringchangedetectiontheroleofdepthoffield