Evidence map›Paper›PMID 42461074›Full record

ArticleJournal of vision2026

What happens next in dynamic natural scenes: Temporal discrimination is modulated by motion and scene context but not stereoscopic depth.

Jiali Song, Ginnie Wee, Benjamin Wolfe

Abstract read
In one paragraph

Article in Journal of vision, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jiali SongDepartment of Psychological & Brain Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.
Ginnie WeeDepartment of Psychological & Brain Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.
Benjamin WolfeDepartment of Psychological & Brain Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated mental representations of real road scenes using a prediction task. On each trial, 48 licensed drivers watched a road scene for 2 seconds and immediately after selected what the scene would look like 2 seconds in the future in a five-alternative forced choice (5AFC) task. We factorially manipulated three visual properties of the preview to examine their effects on performance: motion, scene context, and stereoscopic depth. We developed a binocular dashcam video dataset of real road scenes simulating human interpupillary distance. We manipulated motion by displaying still images or video previews. Scene context was manipulated by showing videos recorded on urban roads, which are visually denser, or in highway roads, which are visually sparser. To investigate whether small disparity signals are used in this task, we manipulated stereoscopic depth by varying stimulus presentation: Each eye received video from the corresponding camera, only one eye received video, or both eyes received identical videos. Participants were able to correctly select the future appearance of the road to some extent, with better precision for video than stills and for urban scenes than highway scenes. Stereoscopic cues did not affect performance, indicating that participants likely relied more heavily on monocular depth cues in this task. These results suggest that mental representations of complex natural scenes are temporally imprecise and are consistent with, but do not uniquely require, projections of future states.

Indexed as

Depth PerceptionDiscrimination, PsychologicalMotion PerceptionTime PerceptionAdultCuesFemaleHumansMalePhotic StimulationVision, BinocularYoung Adult

Identifiers

PMID42461074
PMCPMC13387269

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.