Knowing where to go: Spatial memory guides eye and body movements in a naturalistic visual search task

Most research on visual search has used simple tasks presented on a computer screen. However, in natural situations visual search almost always involves eye, head, and body movements in a three-dimensional (3D) environment. The different constraints imposed by these two types of search tasks might explain some of the discrepancies in our understanding concerning the use of memory resources and the role of contextual objects during search. To explore this issue, we analyzed a visual search task performed in an immersive virtual reality apartment. Participants searched for a series of geometric 3D objects while eye movements and head coordinates were recorded. Participants explored the apartment to locate target objects whose location and visibility were manipulated. For objects with reliable locations, we found that repeated searches led to a decrease in search time and number of fixations and to a reduction of errors. Searching for those objects that had been visible in previous trials but were only tested at the end of the experiment was also easier than finding objects for the first time, indicating incidental learning of context. More importantly, we found that body movements showed changes that reflected memory for target location: trajectories were shorter and movement velocities were higher, but only for those objects that had been searched for multiple times. We conclude that memory of 3D space and target location is a critical component of visual search and also modifies movement kinematics. In natural search, memory is used to optimize movement control and reduce energetic costs.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2024-09-03
DOI
https://doi.org/10.1167/jov.24.9.1
Citations
3
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
0.61

Funders

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

Knowing where to go: Spatial memory guides eye and body movements in a naturalistic visual search task

Matthew H. Tong, Mary Hayhoe, Chia-Ling Li, M. Pilar Aivar et al.
3 citations
Journal of Vision
Spatial Cognition and Navigation
0.61
article

Knowing where to go: Spatial memory guides eye and body movements in a naturalistic visual search task

Matthew H. Tong, Mary Hayhoe, Chia-Ling Li, M. Pilar Aivar, Dmitry Kit
article en
3 citations

Abstract

Most research on visual search has used simple tasks presented on a computer screen. However, in natural situations visual search almost always involves eye, head, and body movements in a three-dimensional (3D) environment. The different constraints imposed by these two types of search tasks might explain some of the discrepancies in our understanding concerning the use of memory resources and the role of contextual objects during search. To explore this issue, we analyzed a visual search task performed in an immersive virtual reality apartment. Participants searched for a series of geometric 3D objects while eye movements and head coordinates were recorded. Participants explored the apartment to locate target objects whose location and visibility were manipulated. For objects with reliable locations, we found that repeated searches led to a decrease in search time and number of fixations and to a reduction of errors. Searching for those objects that had been visible in previous trials but were only tested at the end of the experiment was also easier than finding objects for the first time, indicating incidental learning of context. More importantly, we found that body movements showed changes that reflected memory for target location: trajectories were shorter and movement velocities were higher, but only for those objects that had been searched for multiple times. We conclude that memory of 3D space and target location is a critical component of visual search and also modifies movement kinematics. In natural search, memory is used to optimize movement control and reduce energetic costs.

Journal of VisionVol. 24(9)
IBM (United States) (US), Cambridge Scientific (United States) (US), Apple (United States) (US), Universidad Autónoma de Madrid (ES), Electromagnetic Geoservices (Norway) (NO), The University of Texas at Austin (US)
Banco Santander, Ministerio de Educación, Cultura y Deporte, Universidad Autónoma de Madrid, National Institutes of Health, European Regional Development Fund, Agencia Estatal de Investigación
Reduced inequalities
Openalex Percentile: Top 34%
Spatial Cognition and Navigation
0.61
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.