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Examining the role of depth information in contextual cuing using a virtual reality visual search task
Tom Beesley1, Ying Yun Tou2, Jack Walsh2
1Department of Psychology, Lancaster University.
Journal of Experimental Psychology. Human Perception and Performance
|October 13, 2022
Summary
Depth does not significantly impact visual search learning in 3D environments. Contextual cuing effects remain consistent regardless of depth, supporting current associative models of learning.
Area of Science:
- Cognitive Psychology
- Visual Perception
- Human-Computer Interaction
Background:
- Contextual cuing aids visual search by leveraging learned spatial regularities.
- Existing models primarily explore 2D environments, with limited understanding of 3D spatial learning.
- Virtual reality (VR) offers a novel platform for investigating 3D spatial cognition.
Purpose of the Study:
- To investigate the role of depth in associative learning during contextual cuing of visual search.
- To test predictions of associative models in a 3D virtual reality environment.
- To determine if spatial relationships in depth influence the formation of search strategies.
Main Methods:
- Utilized a virtual reality (VR) system to present visual search stimuli in three dimensions.
- Conducted two experiments to establish and probe contextual cuing effects.
- Manipulated distractor-target distance and distractor-observer position in Experiment 2.
Main Results:
- A significant contextual cuing effect was successfully established in the 3D VR environment.
- The contextual cuing effect remained consistent across variations in depth and spatial configurations.
- No evidence indicated that depth information critically modulates representations formed during contextual cuing.
Conclusions:
- Depth information does not appear to be a critical factor in the associative learning underlying contextual cuing.
- Findings align with current associative models, suggesting their applicability extends to 3D spatial contexts.
- The study validates VR as a tool for exploring 3D spatial cognition and associative learning.

