Trial reportAttention, perception & psychophysics2020
Extra-foveal Processing of Object Semantics Guides Early Overt Attention During Visual Search.
Trial report in Attention, perception & psychophysics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Combined conceptual and perceptual control of visual attention in search for real-world objects.Attention, perception & psychophysics · 2025Article
- Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Assessing the allocation of attention during visual search using digit-tracking, a calibration-free alternative to eye tracking.Scientific reports · 2023Article
- Similar mechanisms of temporary bindings for identity and location of objects in healthy ageing: an eye-tracking study with naturalistic scenes.Scientific reports · 2022Article
- Effects of diagnostic regions on facial emotion recognition: The moving window technique.Frontiers in psychology · 2022Article
- Extrafoveal Processing in Categorical Search for Geometric Shapes: General Tendencies and Individual Variations.Cognitive science · 2021Article
- The extrafoveal preview paradigm as a measure of predictive, active sampling in visual perception.Journal of vision · 2021Review
- Major issues in the study of visual search: Part 2 of "40 Years of Feature Integration: Special Issue in Memory of Anne Treisman".Attention, perception & psychophysics · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Eye-tracking studies using arrays of objects have demonstrated that some high-level processing of object semantics can occur in extra-foveal vision, but its role on the allocation of early overt attention is still unclear. This eye-tracking visual search study contributes novel findings by examining the role of object-to-object semantic relatedness and visual saliency on search responses and eye-movement behaviour across arrays of increasing size (3, 5, 7). Our data show that a critical object was looked at earlier and for longer when it was semantically unrelated than related to the other objects in the display, both when it was the search target (target-present trials) and when it was a target's semantically related competitor (target-absent trials). Semantic relatedness effects manifested already during the very first fixation after array onset, were consistently found for increasing set sizes, and were independent of low-level visual saliency, which did not play any role. We conclude that object semantics can be extracted early in extra-foveal vision and capture overt attention from the very first fixation. These findings pose a challenge to models of visual attention which assume that overt attention is guided by the visual appearance of stimuli, rather than by their semantics.
Indexed as
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What OpenQuestion holds
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.