Task irrelevant sounds influence visual attention through graded crossmodal semantic modulation

The role of semantics in guiding attentional prioritization visually is well established, but how semantic information shapes attention in multisensory, rather than unisensory, contexts has been less well characterized. Task-irrelevant sounds can speed search for matched visual targets; e.g., you find a dog more quickly if you hear it barking. However, matched sounds and images may be a unique case, with the attentional benefit derived by integration into a combined multisensory event. To establish if semantic information influences attention in audiovisual contexts beyond direct matches, we systematically varied sound-image semantic relatedness while participants searched for target images. Search speed scaled with sound-image semantic relatedness, such that target images were found faster when the sound was more closely related to the image. To examine whether sound-image semantic scaling hinges on task relevance, we conducted two follow up experiments while participants completed an orthogonal Gabor discrimination task. Observed results demonstrate that semantic knowledge guides audiovisual attention, even when task-irrelevant and not matched, suggesting a robust underlying cognitive mechanism processing semantics both within and across sensory modality that goes on to influence attentional allocation.

Authors

Institutions

Publication Details

Journal
Psychonomic Bulletin & Review
Published
2026-02-01
DOI
https://doi.org/10.3758/s13423-025-02842-y
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Task irrelevant sounds influence visual attention through graded crossmodal semantic modulation

George L. Malcolm, Sarah Shomstein, Dwight J. Kravitz, Kira Wegner-Clemens
Psychonomic Bulletin & Review
Multisensory perception and integration
article

Task irrelevant sounds influence visual attention through graded crossmodal semantic modulation

George L. Malcolm, Sarah Shomstein, Dwight J. Kravitz, Kira Wegner-Clemens
article en

Abstract

The role of semantics in guiding attentional prioritization visually is well established, but how semantic information shapes attention in multisensory, rather than unisensory, contexts has been less well characterized. Task-irrelevant sounds can speed search for matched visual targets; e.g., you find a dog more quickly if you hear it barking. However, matched sounds and images may be a unique case, with the attentional benefit derived by integration into a combined multisensory event. To establish if semantic information influences attention in audiovisual contexts beyond direct matches, we systematically varied sound-image semantic relatedness while participants searched for target images. Search speed scaled with sound-image semantic relatedness, such that target images were found faster when the sound was more closely related to the image. To examine whether sound-image semantic scaling hinges on task relevance, we conducted two follow up experiments while participants completed an orthogonal Gabor discrimination task. Observed results demonstrate that semantic knowledge guides audiovisual attention, even when task-irrelevant and not matched, suggesting a robust underlying cognitive mechanism processing semantics both within and across sensory modality that goes on to influence attentional allocation.

Psychonomic Bulletin & ReviewVol. 33(2)
University of East Anglia (GB), George Washington University (US)
Reduced inequalities
Openalex Percentile: Top 53%
Multisensory perception and integration
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.