ArticleCognitive research: principles and implications2017
Eye movement feedback fails to improve visual search performance.
Article in Cognitive research: principles and implications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Reducing the low-prevalence effect with probe trials.Cognitive research: principles and implications · 2026Article
- The effects of gaze-display feedback on medical students' self-monitoring and learning in radiology.Advances in health sciences education : theory and practice · 2024Article
- Errors in visual search: Are they stochastic or deterministic?Cognitive research: principles and implications · 2024Article
- Using aversive conditioning with near-real-time feedback to shape eye movements during naturalistic viewing.Behavior research methods · 2021Article
- Visual search behavior and performance in luggage screening: effects of time pressure, automation aid, and target expectancy.Cognitive research: principles and implications · 2021Article
- Eye Movements in Medical Image Perception: A Selective Review of Past, Present and Future.Vision (Basel, Switzerland) · 2019Review
- Using Eye Movements to Understand how Security Screeners Search for Threats in X-Ray Baggage.Vision (Basel, Switzerland) · 2019Review
- Simple eye-movement feedback during visual search is not helpful.Cognitive research: principles and implications · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many real-world searches (e.g., radiology and baggage screening) have rare targets. When targets are rare, observers perform rapid, incomplete searches, leading to higher miss rates. To improve search for rare (10% prevalence) targets, we provided eye movement feedback (EMF) to observers during their searches. Although the nature of the EMF varied across experiments, each method informed observers about the regions of the display that had not yet been inspected. We hypothesized that feedback would help guide attention to unsearched areas and increase the proportion of the display searched before making a target-absent response, thereby increasing accuracy. An eye tracker was used to mark fixated areas by either removing a semiopaque gray overlay (Experiments 1 and 4) as portions of the display were fixated or by adding the overlay once the eye left a segment of the image (Experiments 2 and 4). Experiment 3 provided automated EMF, such that a new region was uncovered every 540 milliseconds. Across experiments, we varied whether people searched for "Waldo" in images from "Where's Waldo?" search books or searched for a T among offset Ls. We found weak evidence that EMF improves accuracy in Experiment 1. However, in the remaining experiments, EMF had no effect (Experiment 4), or even reduced accuracy (Experiments 2 and 3). We conclude that the one positive result we found is likely a Type I error and that the EMF method that we used is unlikely to improve visual search performance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.