Evidence map›Paper›PMID 40248279›Full record

ArticleSN computer science2025

The Effects of Visual Behavior and Ego-Movement on Foveated Rendering Performance in Virtual Reality.

David Petrescu, Paul A Warren, Zahra Montazeri, Gabriel Strain, Steve Pettifer

Abstract read
In one paragraph

Article in SN computer science, 2025. 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

5 authors.

David PetrescuComputer Science, University of Manchester, Oxford Road, Manchester, M13 9PL UK.ORCID 0000-0002-8949-7265
Paul A WarrenDivision of Psychology, Communication and Human Neuroscience, Virtual Reality Research (VR2) Facility, University of Manchester, Oxford Road, Manchester, M13 9PL UK.
Zahra MontazeriComputer Science, University of Manchester, Oxford Road, Manchester, M13 9PL UK.
Gabriel StrainComputer Science, University of Manchester, Oxford Road, Manchester, M13 9PL UK.
Steve PettiferComputer Science, University of Manchester, Oxford Road, Manchester, M13 9PL UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the recent developments in VR, maintaining photorealism is difficult due to the increased bandwidth capabilities and computational resources required. To make VR more affordable, techniques such as Foveated Rendering (FR) offer promising ways to optimise rendering without compromising the user experience. Near-eye displays with 6DOF tracking enable users to freely move through the environment. This was previously impossible with traditional displays. This work aims to disentangle the effect of type of ego-movement (Active versus Implied) and task type (Simple Fixations versus a task involving Fixations, Discrimination, and Counting) on a dynamic FR method developed using Variable Rate Shading (VRS) (a quarter of the native shading rate is used in the visual periphery). We also explore if the aforementioned effects are consistent under different visual behaviours (visual search versus tracking). Results show that participants actively moving and performing complex tasks (during visual search) are less sensitive to degradation than in other conditions, with only 31.7% of the FOV required to be rendered using full sampling. Additionally, we provide evidence for how instances of visual pursuit might influence these results; in this case, only 29.3% of the FOV rendered using full sampling is tolerated by participants.

Indexed as

AttentionFoveated RenderingMovementPsychophysicsVariable Rate ShadingVirtual RealityVisual Behavior

Identifiers

PMID40248279
PMCPMC12000250

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.