Evidence map›Paper›PMID 42356624›Full record

ArticleSensors (Basel, Switzerland)2026

Eye-Tracking-Based Evaluation of Visual Search Efficiency in Simulated VR Menu Interfaces: Effects of Card Layout Structure and Target Spatial Quadrant.

Jing Zhang, Yanxu Zhou, Chenyu Xu, Yulin Zhu, Jingjing Li, Jing Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

6 authors.

Jing ZhangCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.ORCID 0009-0006-8827-4816
Yanxu ZhouCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.
Chenyu XuCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.
Yulin ZhuCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.
Jingjing LiCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.
Jing LiCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.

Funding

National Natural Science Foundation of China 72201128
6 · The paper itself

Abstract

Understanding how interface layout influences visual search performance is important for optimizing virtual reality (VR) interfaces. This study investigated visual search efficiency and gaze behavior in simulated VR menu interfaces using a screen-based eye-tracking experiment. To enable controlled measurement of gaze behavior and isolate layout-driven perceptual effects, the interfaces were evaluated using a desktop-based VR simulation. The experiment examined two independent variables: menu layout structure and target spatial quadrant. Two representative VR menu layout structures were compared: a grid-based layout arranged as a 4 × 4 matrix and a gallery-based layout consisting of four large and twelve small cards, forming a size-based visual hierarchy. Target locations were distributed across four spatial quadrants: lower-left, lower-right, upper-left, and upper-right. Participants (

Indexed as

Eye-Tracking TechnologyVirtual RealityVisual PerceptionAdultAttentionComputer SimulationEye MovementsFemaleFixation, OcularHumansMaleReaction TimeUser-Computer InterfaceYoung Adultcard layoutdesktop-based simulationeye-tracking sensorgallery-based designgrid-based designspatial attentionvirtual reality interfacevisual search

Identifiers

PMID42356624
PMCPMC13306393

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.