Gender influences on virtual reality colour matching task: performance, presence, usability, cognitive load, accuracy, and physiological response

Abstract This study investigated the differences between male and female users in user experience, cognitive workload, and performance on a VR-based colour matching task. 40 participants (25 men and 15 women) completed a VR-based activity that involved a colour recall and a colour matching task. This research is novel in its comprehensive, multimetric approach, integrating psychological and physiological assessments to explore gender effects within a psychophysically precise VR environment. The experiment included a NASA Task Load Index (NASA-TLX) assessment, two questionnaires on presence, usability scales, and objective measures of colour accuracy. A Mann–Whitney U test was performed for all comparisons, which reported differences between males and females on none of the assessments. However, males reported greater mental demands and temporal demands compared to females, while females reported a greater score on perceived performance and immersion, such as their presence or engagement score. Performance data indicated high average colour comparison accuracy for men; however, statistical power was low for comparisons involving small colour differences. The findings suggest there is a difference in cognitive and perceptual processing between men and women while completing VR tasks; therefore, adaptive virtual reality interfaces need to be developed that consider user profiles based on gender.

Authors

Institutions

Publication Details

Journal
The Visual Computer
Published
2026-01-01
DOI
https://doi.org/10.1007/s00371-025-04334-5
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gender influences on virtual reality colour matching task: performance, presence, usability, cognitive load, accuracy, and physiological response

Tibor Guzsvinecz, Cecília Sik-Lanyi, Hanan Namrouti
The Visual Computer
Color perception and design
article

Gender influences on virtual reality colour matching task: performance, presence, usability, cognitive load, accuracy, and physiological response

Tibor Guzsvinecz, Cecília Sik-Lanyi, Hanan Namrouti
article en

Abstract

Abstract This study investigated the differences between male and female users in user experience, cognitive workload, and performance on a VR-based colour matching task. 40 participants (25 men and 15 women) completed a VR-based activity that involved a colour recall and a colour matching task. This research is novel in its comprehensive, multimetric approach, integrating psychological and physiological assessments to explore gender effects within a psychophysically precise VR environment. The experiment included a NASA Task Load Index (NASA-TLX) assessment, two questionnaires on presence, usability scales, and objective measures of colour accuracy. A Mann–Whitney U test was performed for all comparisons, which reported differences between males and females on none of the assessments. However, males reported greater mental demands and temporal demands compared to females, while females reported a greater score on perceived performance and immersion, such as their presence or engagement score. Performance data indicated high average colour comparison accuracy for men; however, statistical power was low for comparisons involving small colour differences. The findings suggest there is a difference in cognitive and perceptual processing between men and women while completing VR tasks; therefore, adaptive virtual reality interfaces need to be developed that consider user profiles based on gender.

The Visual ComputerVol. 42(1)
University of Pannonia (HU), Hungarian Astronomical Association (HU)
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Gender equality
Openalex Percentile: Top 95%
Color perception and design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Gender influences on virtual reality colour matching task: performance, presence, usability, cognitive load, accuracy, and physiological response — Tibor Guzsvinecz, Cecília Sik-Lanyi, et al. · The Visual Computer (2026) | TGRS Research Map | TGRS