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Article: A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology

TitleA comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology
Authors
Keywordseye tracking
face recognition
gaze analysis
visual recognition
Issue Date2020
PublisherWiley Open Access. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2057-4347
Citation
Clinical and Experimental Dental Research, 2020, v. 6 n. 1, p. 59-68 How to Cite?
AbstractObjectives: Eye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in radiographic and nonradiographic images using eye tracking technology and examines if there is a correlation. Material and methods: Nine JHDOs and nine DSAs examined six radiographic images and 16 nonradiographic images using eye tracking. The areas of interest (AOIs) of the radiographic images were rated as easy, medium, and hard, and the nonradiographic images were categorized as pattern recognition, face recognition, and image comparison. The participants were required to identify and locate the AOIs. Data analysis of the two domains, entire slide and AOI, was conducted by evaluating the eye tracking metrics (ETM) and the performance outcomes. ETM consisted of six parameters, and performance outcomes consisted of four parameters. Results: No significant differences were observed for ETMs for JHDOs and DSAs for both radiographic and nonradiographic images. The JHDOs showed significantly higher percentage in identifying AOIs than DSAs for all the radiographic images (72.7% vs. 36.4%, p = .004) and for the easy categorization of radiographic AOIs (85.7% vs. 42.9%, p = .012). JHDOs with higher correct identification percentage in face recognition had a shorter dwell time in AOIs. Conclusions: Although no significant relation was observed between radiographic and nonradiographic images, there were some evidence that visual recognition skills may impact certain attributes of the visual search pattern in radiographic images.
Persistent Identifierhttp://hdl.handle.net/10722/277970
ISSN
2023 Impact Factor: 1.7
2023 SCImago Journal Rankings: 0.541
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorBotelho, MG-
dc.contributor.authorEkambaram, M-
dc.contributor.authorBhuyan, SY-
dc.contributor.authorYeung, AWK-
dc.contributor.authorTanaka, R-
dc.contributor.authorBornstein, MM-
dc.contributor.authorLi, KY-
dc.date.accessioned2019-10-04T08:04:54Z-
dc.date.available2019-10-04T08:04:54Z-
dc.date.issued2020-
dc.identifier.citationClinical and Experimental Dental Research, 2020, v. 6 n. 1, p. 59-68-
dc.identifier.issn2057-4347-
dc.identifier.urihttp://hdl.handle.net/10722/277970-
dc.description.abstractObjectives: Eye tracking has been used in medical radiology to understand observers' gaze patterns during radiological diagnosis. This study examines the visual identification ability of junior hospital dental officers (JHDOs) and dental surgery assistants (DSAs) in radiographic and nonradiographic images using eye tracking technology and examines if there is a correlation. Material and methods: Nine JHDOs and nine DSAs examined six radiographic images and 16 nonradiographic images using eye tracking. The areas of interest (AOIs) of the radiographic images were rated as easy, medium, and hard, and the nonradiographic images were categorized as pattern recognition, face recognition, and image comparison. The participants were required to identify and locate the AOIs. Data analysis of the two domains, entire slide and AOI, was conducted by evaluating the eye tracking metrics (ETM) and the performance outcomes. ETM consisted of six parameters, and performance outcomes consisted of four parameters. Results: No significant differences were observed for ETMs for JHDOs and DSAs for both radiographic and nonradiographic images. The JHDOs showed significantly higher percentage in identifying AOIs than DSAs for all the radiographic images (72.7% vs. 36.4%, p = .004) and for the easy categorization of radiographic AOIs (85.7% vs. 42.9%, p = .012). JHDOs with higher correct identification percentage in face recognition had a shorter dwell time in AOIs. Conclusions: Although no significant relation was observed between radiographic and nonradiographic images, there were some evidence that visual recognition skills may impact certain attributes of the visual search pattern in radiographic images.-
dc.languageeng-
dc.publisherWiley Open Access. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2057-4347-
dc.relation.ispartofClinical and Experimental Dental Research-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjecteye tracking-
dc.subjectface recognition-
dc.subjectgaze analysis-
dc.subjectvisual recognition-
dc.titleA comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology-
dc.typeArticle-
dc.identifier.emailBotelho, MG: botelho@hkucc.hku.hk-
dc.identifier.emailBhuyan, SY: sbhuyan@hku.hk-
dc.identifier.emailTanaka, R: rayt3@hku.hk-
dc.identifier.emailBornstein, MM: bornst@hku.hk-
dc.identifier.authorityBotelho, MG=rp00033-
dc.identifier.authorityTanaka, R=rp02130-
dc.identifier.authorityBornstein, MM=rp02217-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1002/cre2.249-
dc.identifier.scopuseid_2-s2.0-85074075182-
dc.identifier.hkuros306950-
dc.identifier.volume6-
dc.identifier.issue1-
dc.identifier.spage59-
dc.identifier.epage68-
dc.identifier.isiWOS:000490854500001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl2057-4347-

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