Articlei-Perception
Individual fixation tendencies in person viewing generalize from images to videos.
Article in i-Perception. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 16 citations in OpenAlex.
- Where You Look Is What You Get: Individual Fixation Height Predicts Biases in Face Perception.Open mind : discoveries in cognitive science · 2026Article
- Individual gaze shapes diverging neural representations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Individual differences in face salience and rapid face saccades.Journal of vision · 2024Article
- A preference to look closer to the eyes is associated with a position-invariant face neural code.Psychonomic bulletin & review · 2024Article
- Individual differences in human gaze behavior generalize from faces to objects.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Objects guide human gaze behavior in dynamic real-world scenes.PLoS computational biology · 2023Article
- Faces in scenes attract rapid saccades.Journal of vision · 2023Article
- Quick, eyes! Isolated upper face regions but not artificial features elicit rapid saccades.Journal of vision · 2023Article
- Individual differences in looking at persons in scenes.Journal of vision · 2022Article
- Reading the mind in the nose.i-PerceptionArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fixation behavior toward persons in static scenes varies considerably between individuals. However, it is unclear whether these differences generalize to dynamic stimuli. Here, we examined individual differences in the distribution of gaze across seven person features (i.e. body and face parts) in static and dynamic scenes. Forty-four participants freely viewed 700 complex static scenes followed by eight director-cut videos (28,925 frames). We determined the presence of person features using hand-delineated pixel masks (images) and Deep Neural Networks (videos). Results replicated highly consistent individual differences in fixation tendencies for all person features in static scenes and revealed that these tendencies generalize to videos. Individual fixation behavior for both, images and videos, fell into two anticorrelated clusters representing the tendency to fixate faces versus bodies. These results corroborate a low-dimensional space for individual gaze biases toward persons and show they generalize from images to videos.
Indexed as
Identifiers
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.