ArticleCognitive research: principles and implications2017
Simple eye-movement feedback during visual search is not helpful.
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 12 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 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
- Targeted Training Reduces Search Errors but Not Classification Errors for Hepatic Metastasis Detection at Contrast-Enhanced CT.Academic radiology · 2024Article
- A global and local perspective of interruption frequency in a visual search task.Frontiers in psychology · 2022Article
- 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 tracking reveals expertise-related differences in the time-course of medical image inspection and diagnosis.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology.Clinical and experimental dental research · 2020Article
- 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
- Eye movement feedback fails to improve visual search performance.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
Searching for targets in the visual world, or visual search, is something we all do every day. We frequently make 'false-negative' errors, wherein we erroneously conclude a target was absent when one was, in fact, present. These sorts of errors can have tremendous costs, as when signs of cancers are missed in diagnostic radiology. Prior research has characterized the cause of many of these errors as being due to failure to completely search the area where targets may be present; indeed, roughly one-third of chest nodules missed in lung cancer screening are never fixated (Drew, Võ, Olwal, Jacobson, Seltzer and Wolfe, Journal of Vision 13:3, 2013). This suggests that observers do not have a good representation of what areas have and have not been searched prior to declaring an area target free. Therefore, in six experiments, we sought to examine the utility of reducing the uncertainty with respect to what areas had been examined via online eye-tracking feedback. We hypothesized that providing information about what areas had or had not been examined would lead to lower rates of false negatives or more efficient search, namely faster response times with no cost on target detection accuracy. Neither of these predictions held true. Over six experiments, online eye-tracking feedback did not yield any reliable performance benefits.
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Registered trials
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.