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I See Something You Do Not: Eye Movement Modelling Examples Do Not Improve Anomaly Detection in Interpreting Medical Images

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Title: I See Something You Do Not: Eye Movement Modelling Examples Do Not Improve Anomaly Detection in Interpreting Medical Images
Language: English
Authors: Eder, Thésése F. (ORCID 0000-0002-6959-7330), Scheiter, Katharina, Richter, Juliane (ORCID 0000-0001-8418-0931), Keutel, Constanze, Hüttig, Fabian (ORCID 0000-0002-7253-5923)
Source: Journal of Computer Assisted Learning. Apr 2022 38(2):379-391.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 13
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Eye Movements, Dentistry, Visual Aids, Radiology, Graduate Students, Intervention, Training Methods, Identification, Visual Perception, Video Technology, Technology Uses in Education
DOI: 10.1111/jcal.12619
ISSN: 0266-4909
Abstract: Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME support for OPTs has not been verified. Objectives: We investigated whether a training with EMME and verbal explanations supports dental students in evaluating OPTs. Methods: Dental students were randomly assigned to an intervention (N = 42) or a control group (N = 41). The intervention group received the EMME between pre- and post-test. In a laboratory study, we measured students' gaze behaviour during evaluating OPTs and the detection rate of anomalies. Results and conclusions: The training led to fewer, shorter, and later fixations on anomalies and no difference in visual coverage of the OPT. The detection rate of anomalies did not improve. We replicated the latter finding in an online study (N = 31). Students may not have been able to apply the information from the EMME to detect anomalies. The image reading processes changed to more efficient rather than deeper visual search. Major takeaways: This study evaluated a training method with EMME for anomaly detection of OPTs. EMMEs did not improve the anomaly detection of dental students and changed their visual search process toward a more efficient rather than a deeper search.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1327626
Database: ERIC
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  Data: I See Something You Do Not: Eye Movement Modelling Examples Do Not Improve Anomaly Detection in Interpreting Medical Images
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  Data: <searchLink fieldCode="AR" term="%22Eder%2C+Thésése+F%2E%22">Eder, Thésése F.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6959-7330">0000-0002-6959-7330</externalLink>)<br /><searchLink fieldCode="AR" term="%22Scheiter%2C+Katharina%22">Scheiter, Katharina</searchLink><br /><searchLink fieldCode="AR" term="%22Richter%2C+Juliane%22">Richter, Juliane</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8418-0931">0000-0001-8418-0931</externalLink>)<br /><searchLink fieldCode="AR" term="%22Keutel%2C+Constanze%22">Keutel, Constanze</searchLink><br /><searchLink fieldCode="AR" term="%22Hüttig%2C+Fabian%22">Hüttig, Fabian</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7253-5923">0000-0002-7253-5923</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Computer+Assisted+Learning%22"><i>Journal of Computer Assisted Learning</i></searchLink>. Apr 2022 38(2):379-391.
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: <searchLink fieldCode="DE" term="%22Eye+Movements%22">Eye Movements</searchLink><br /><searchLink fieldCode="DE" term="%22Dentistry%22">Dentistry</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+Aids%22">Visual Aids</searchLink><br /><searchLink fieldCode="DE" term="%22Radiology%22">Radiology</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+Students%22">Graduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Training+Methods%22">Training Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+Perception%22">Visual Perception</searchLink><br /><searchLink fieldCode="DE" term="%22Video+Technology%22">Video Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink>
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  Data: 10.1111/jcal.12619
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  Data: 0266-4909
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: When interpreting medical images such as dental panoramic radiographs (Orthopanthomogram, OPT), errors are frequent. Previous research has shown that eye movement modelling examples (EMME) are a supportive training method for medical image interpretation to reduce errors. To date, EMME support for OPTs has not been verified. Objectives: We investigated whether a training with EMME and verbal explanations supports dental students in evaluating OPTs. Methods: Dental students were randomly assigned to an intervention (N = 42) or a control group (N = 41). The intervention group received the EMME between pre- and post-test. In a laboratory study, we measured students' gaze behaviour during evaluating OPTs and the detection rate of anomalies. Results and conclusions: The training led to fewer, shorter, and later fixations on anomalies and no difference in visual coverage of the OPT. The detection rate of anomalies did not improve. We replicated the latter finding in an online study (N = 31). Students may not have been able to apply the information from the EMME to detect anomalies. The image reading processes changed to more efficient rather than deeper visual search. Major takeaways: This study evaluated a training method with EMME for anomaly detection of OPTs. EMMEs did not improve the anomaly detection of dental students and changed their visual search process toward a more efficient rather than a deeper search.
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        Value: 10.1111/jcal.12619
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      – Text: English
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        PageCount: 13
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      – SubjectFull: Eye Movements
        Type: general
      – SubjectFull: Dentistry
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      – SubjectFull: Visual Aids
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      – SubjectFull: Radiology
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      – SubjectFull: Visual Perception
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      – SubjectFull: Video Technology
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      – SubjectFull: Technology Uses in Education
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      – TitleFull: I See Something You Do Not: Eye Movement Modelling Examples Do Not Improve Anomaly Detection in Interpreting Medical Images
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