Gaze cueing improves pattern recognition of histology learners

Experts perceive and evaluate domain-specific visual information with high accuracy. In doing so, they exhibit eye movements referred to as "expert gaze" to rapidly focus on task-relevant areas. Using eye tracking, it is possible to record these implicit gaze patterns and present them to histology novice learners during training. This article presents a comprehensive evaluation of such expert gaze cueing on pattern recognition of medical students in histology. For this purpose, 53 students were randomized into two groups over eight histology sessions. The control group was presented with an instructional histology video featuring voice commentary. The gaze cueing group was presented the same video, but with an additional overlay of a live recording of the expert's eye movements. Afterward, students' pattern recognition was assessed through 20 image-based tasks (5 retention, 15 transfer) and their cognitive load with the Paas scale. Results showed that gaze cueing significantly outperformed the control group (p = 0.007; d = 0.40). This effect was evident for both, retention (p = 0.003) and transfer tasks (p = 0.046), and generalized across different histological contexts. The cognitive load was similar in both groups. In conclusion, gaze cueing helps histology novice learners to develop their pattern recognition skills, offering a promising method for histology education. Histology educators could benefit from this instructional strategy to provide new forms of attentional guidance to learners in visually complex learning environments.

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Institutions

Publication Details

Journal
Anatomical Sciences Education
Published
2024-08-12
DOI
https://doi.org/10.1002/ase.2498
Citations
11
Primary Topic
Visual and Cognitive Learning Processes
Type
article
Field-Weighted Citation Impact
5.58

Funders

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article

Gaze cueing improves pattern recognition of histology learners

Dogus Darici, Markus Berndt, Cihan Papan, Nils Otto et al.
11 citations
Anatomical Sciences Education
Visual and Cognitive Learning Processes
5.58
article

Gaze cueing improves pattern recognition of histology learners

Dogus Darici, Markus Berndt, Cihan Papan, Nils Otto, Markus Missler, Anita Robitzsch, Aline D. Scherff, Adrian Holtrup, Michelle Bellstedt
article en
11 citations

Abstract

Experts perceive and evaluate domain-specific visual information with high accuracy. In doing so, they exhibit eye movements referred to as "expert gaze" to rapidly focus on task-relevant areas. Using eye tracking, it is possible to record these implicit gaze patterns and present them to histology novice learners during training. This article presents a comprehensive evaluation of such expert gaze cueing on pattern recognition of medical students in histology. For this purpose, 53 students were randomized into two groups over eight histology sessions. The control group was presented with an instructional histology video featuring voice commentary. The gaze cueing group was presented the same video, but with an additional overlay of a live recording of the expert's eye movements. Afterward, students' pattern recognition was assessed through 20 image-based tasks (5 retention, 15 transfer) and their cognitive load with the Paas scale. Results showed that gaze cueing significantly outperformed the control group (p = 0.007; d = 0.40). This effect was evident for both, retention (p = 0.003) and transfer tasks (p = 0.046), and generalized across different histological contexts. The cognitive load was similar in both groups. In conclusion, gaze cueing helps histology novice learners to develop their pattern recognition skills, offering a promising method for histology education. Histology educators could benefit from this instructional strategy to provide new forms of attentional guidance to learners in visually complex learning environments.

Anatomical Sciences EducationVol. 17(7)
University of Münster (DE), University Hospital Bonn (DE), LMU Klinikum (DE), University of Duisburg-Essen (DE), Ludwig-Maximilians-Universität München (DE)
Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
Quality Education
Openalex Percentile: Top 4%
Visual and Cognitive Learning Processes
5.58
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