Context-dependent modulation of spatial attention: prioritizing behaviourally relevant stimuli

Human attention can be guided by semantic information conveyed by individual objects in the environment. Over time, we learn to allocate attention resources towards stimuli that are behaviourally relevant to ongoing action, leading to attention capture by meaningful peripheral stimuli. A common example includes, while driving, stimuli that imply a possibly hazardous scenario (e.g. a pedestrian about to cross the road) warrant attentional prioritization to ensure safe proceedings. In the current study, we report a novel phenomenon in which the guidance of attention is dependent on the stimuli appearing in a behaviourally relevant context. Using a driving simulator, we simulated a real-world driving task representing an overlearned behaviour for licensed drivers. While driving, participants underwent a peripheral cue-target paradigm where a roadside pedestrian avatar (target) appeared following a cylinder cue. Results revealed that, during simulated driving conditions, participants (all with driver's licenses) showed greater attentional facilitation when pedestrians were oriented towards the road compared to away. This orientation-specific selectivity was not seen if the 3-D context was removed (Experiment 1) or the same visual scene was presented, but participants' viewpoints remained stationary (Experiment 2), or an inanimate object served as a target during simulated driving (Experiment 3). This context-specific attention modulation likely reflects drivers' expertise in automatically attending to behaviourally relevant information in a context-dependent manner.

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Publication Details

Journal
Cognitive Research Principles and Implications
Published
2025-02-07
DOI
https://doi.org/10.1186/s41235-025-00612-x
Citations
2
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
2.86

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article

Context-dependent modulation of spatial attention: prioritizing behaviourally relevant stimuli

Hong‐Jin Sun, Noah Britt, Jackie Chau
2 citations
Cognitive Research Principles and Implications
Visual perception and processing mechanisms
2.86
article

Context-dependent modulation of spatial attention: prioritizing behaviourally relevant stimuli

Hong‐Jin Sun, Noah Britt, Jackie Chau
article en
2 citations

Abstract

Human attention can be guided by semantic information conveyed by individual objects in the environment. Over time, we learn to allocate attention resources towards stimuli that are behaviourally relevant to ongoing action, leading to attention capture by meaningful peripheral stimuli. A common example includes, while driving, stimuli that imply a possibly hazardous scenario (e.g. a pedestrian about to cross the road) warrant attentional prioritization to ensure safe proceedings. In the current study, we report a novel phenomenon in which the guidance of attention is dependent on the stimuli appearing in a behaviourally relevant context. Using a driving simulator, we simulated a real-world driving task representing an overlearned behaviour for licensed drivers. While driving, participants underwent a peripheral cue-target paradigm where a roadside pedestrian avatar (target) appeared following a cylinder cue. Results revealed that, during simulated driving conditions, participants (all with driver's licenses) showed greater attentional facilitation when pedestrians were oriented towards the road compared to away. This orientation-specific selectivity was not seen if the 3-D context was removed (Experiment 1) or the same visual scene was presented, but participants' viewpoints remained stationary (Experiment 2), or an inanimate object served as a target during simulated driving (Experiment 3). This context-specific attention modulation likely reflects drivers' expertise in automatically attending to behaviourally relevant information in a context-dependent manner.

Cognitive Research Principles and ImplicationsVol. 10(1)
McMaster University (CA)
Natural Sciences and Engineering Research Council of Canada
Sustainable cities and communities
Openalex Percentile: Top 12%
Visual perception and processing mechanisms
2.86
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