Evidence map›Paper›PMID 42102109›Full record

ArticlePloS one2026

Differences in perceived travel distance from central versus peripheral optic flow are the same when standing and walking.

Ambika Bansal, Hongyi Guo, Robert S Allison, Laurence R Harris

Abstract read
In one paragraph

Article in PloS one, 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
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

4 authors.

Ambika BansalCentre for Vision Research, York University, Canada.ORCID https://orcid.org/0009-0000-3343-927X
Hongyi GuoCentre for Vision Research, York University, Canada.ORCID https://orcid.org/0009-0004-4662-2996
Robert S AllisonCentre for Vision Research, York University, Canada.ORCID https://orcid.org/0000-0002-4485-2665
Laurence R HarrisCentre for Vision Research, York University, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuously evolving ways in which people move challenges our ability to process self-motion. Previous research from our lab has shown that when seated, optic flow presented in the far periphery results in people feeling they moved further than when the same motion was presented over the full field or in the central field only. The literature is mixed on the relative weightings of visual and non-visual cues when estimating travel distance, and it is unknown how non-visual cues might affect the use of optic flow in the far periphery. Here, we used a large-field edgeless display to visually "move" participants. Participants were either (i) physically stationary (visual-only condition), (ii) performing a blindfolded walking task on a treadmill (blindfolded walking condition), or (iii) visually "moving" while walking on a treadmill (visual-and-treadmill condition). Optic flow simulating forward self-motion was presented either full field, in the central field (inside 40°), or in the far periphery (outside 180°). Participants estimated travel distances by stopping at the location of a previously seen target (Move-To-Target Task) or adjusting a target to indicate the distance of a previous movement (Adjust-Target Task). In the Move-To-Target task, peripheral optic flow led to higher gains (perceived travel distance/ actual travel distance) compared to the central field and full-field conditions during both the visual-only and visual-and-treadmill conditions. In the same task, the blindfolded walking condition also led to higher gains than the visual-only or visual-and-treadmill conditions. In the Adjust-Target task, there were no significant differences between conditions. There were also no interaction effects in either task between field-of-view, and whether participants were standing or walking. This implies that the high sensitivity to optic flow in the far periphery is a general feature of perceptual odometry even when integrating non-visual cues with visual cues.

Indexed as

Distance PerceptionMotion PerceptionOptic FlowStanding PositionWalkingAdultFemaleHumansMaleYoung Adult

Identifiers

PMID42102109
PMCPMC13155601

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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.