How field of view impacts visual search strategies
When searching for objects, our sensory resources are limited. According to the zoom lens model of attention, the visual system can flexibly adapt the size of the attentional spotlight applied to an array of items depending on task difficulty. When search tasks are relatively straightforward, attention can be distributed widely across space to process several items simultaneously. However, when discrimination becomes more difficult, the attentional spotlight constricts to concentrate resources to a limited area resulting in the processing of only one or very few items simultaneously at any one time. The present study aimed to empirically test the zoom lens account by assessing search performance while systematically altering the visible area in the search display (field of view [FOV]). We presented two search tasks of contrasting difficulty in a virtual reality environment with a head-contingent display. When the FOV became smaller, there were no differences in search times between the two search tasks, a result which seems to contradict the predictions of the zoom lens model. The zoom lens model predicts that restricted viewing in a demanding search task should exact a smaller cost because of the presence of the smaller attentional window. However, we did not find any evidence of such an effect. Results from an analysis of head and eye movements also suggested that when using both fixations and head movements to scan their environment, participants used head movements to reveal new areas of the visual scene in a manner largely disconnected from classic eye movement and attentional processes. Once the head came to rest, attentional shifts and eye movements were used to search within the newly revealed area.
Authors
- Kaitlin Moat
- Philip Grove
- Guy Wallis (ORCID: https://orcid.org/0000-0003-1601-1540)
- Stefanie Becker
Institutions
- Twitter (United States) (US)
- The University of Queensland (AU)
- Universitas Quality (ID)
- PsyQ (NL)
Publication Details
- Journal
- Journal of Vision
- Published
- 2026-09-01
- DOI
- https://doi.org/10.1167/jov.26.9.2
- Primary Topic
- Visual Attention and Saliency Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00