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Active visual search in naturalistic environments reflects individual differences in classic visual search
Thomas L Botch1, Brenda D Garcia2, Yeo Bi Choi2
1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, 03755, USA. thomas.l.botch@dartmouth.edu.
Scientific Reports
|January 12, 2023
Summary
Classic visual search tasks accurately predict real-world search performance. This study found that individual differences in lab-based visual search predict how efficiently people find objects in virtual reality environments.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Neuroscience
Background:
- Traditional visual search studies use controlled lab settings, limiting ecological validity.
- Real-world visual search involves active exploration with head and eye movements.
Purpose of the Study:
- To investigate if classic visual search tasks predict performance in naturalistic settings.
- To determine if set size impacts both classic and naturalistic visual search.
- To assess individual differences in classic search predicting naturalistic search behavior.
Main Methods:
- Utilized virtual reality (VR) to simulate naturalistic visual search with head and eye movements.
- Conducted classic visual search tasks using only eye movements on a computer screen.
- Recruited a large sample of 75 individuals for both tasks.
Main Results:
- Set size, the number of items, impacted search performance in both classic and naturalistic tasks.
- Individual efficiency in classic visual search tasks predicted efficiency in naturalistic VR search.
- Classic visual search paradigms are effective models for real-world search.
Conclusions:
- Classic visual search tasks remain relevant and predictive of real-world search behavior.
- VR technology enables robust investigation of naturalistic visual search.
- Understanding visual search efficiency has implications for various fields, from HCI to cognitive science.
