Evidence map›Paper›PMID 40360714›Full record

ArticleBehavior research methods2025

An equivalent illuminant analysis of lightness constancy with physical objects and in virtual reality.

Khushbu Y Patel, Laurie M Wilcox, Laurence T Maloney, Krista A Ehinger, Jaykishan Y Patel, Richard F Murray

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Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Low Vision Assessment in Virtual Reality (LVAVR): Spatial Computing in Virtual Reality and Real-World.2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops · 2026
    Article
  2. Article
4 · The record

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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

6 authors.

Khushbu Y PatelDepartment of Psychology and Centre for Vision Research, York University, Toronto, Canada. khushbuypatel1234@gmail.com.
Laurie M WilcoxDepartment of Psychology and Centre for Vision Research, York University, Toronto, Canada.
Laurence T MaloneyDepartment of Psychology, New York University, New York, NY, USA.
Krista A EhingerSchool of Computing and Information Systems, The University of Melbourne, Melbourne, Australia.
Jaykishan Y PatelDepartment of Psychology and Centre for Vision Research, York University, Toronto, Canada.
Richard F MurrayDepartment of Psychology and Centre for Vision Research, York University, Toronto, Canada.

Funding

NSERC Discovery Grant (RGPIN-2022-04583) to Dr. Richard F. Murray
6 · The paper itself

Abstract

Several previous studies have found significant differences between visual perception in real and virtual environments. Given the increasing use of virtual reality (VR) in performance-critical applications such as medical training and vision research, it is important to understand these differences. Here, we compared lightness constancy in physical and VR environments using a task where viewers matched the reflectance of a fronto-parallel match patch to the reflectance of a reference patch at a range of 3D orientations relative to a light source. We used a custom-built physical apparatus and four VR conditions: (1) All-Cue (replicating the physical apparatus), (2) Reduced-Depth (no disparity or parallax), (3) Shadowless (no cast shadows), and (4) Reduced-Context (no surrounding objects). Lightness constancy was markedly better in the physical condition than in all four VR conditions. Surprisingly, viewers achieved a degree of lightness constancy even in the Reduced-Context condition, despite the absence of lighting cues. In a follow-up experiment, we re-tested the All-Cue and Reduced-Context conditions in VR with new observers, each participating in only one condition. Here, we found lower levels of constancy than in the first experiment, suggesting that experience across multiple experimental settings and possibly exposure to the physical apparatus during instructions had enhanced performance. We conclude that even when robust lighting and shape cues are available, lightness constancy is substantially better in real environments than in virtual environments. We consider possible explanations for this finding, such as the imperfect models of materials and lighting that are used for rendering in real-time VR.

Indexed as

LightingUser-Computer InterfaceVirtual RealityVisual PerceptionAdultCuesDepth PerceptionFemaleHumansMalePhotic StimulationYoung AdultColor constancyLightnessPsychophysicsVirtual realityVision

Identifiers

PMID40360714

What OpenQuestion holds

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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.