Visual search is relational without prior context learning
Year: 2025
Type: article
Abstract: The most prominent models of visual attention assume that we tune attention to the specific feature value of a sought-after object (e.g., a specific colour or orientation) to aid search. However, subsequent research has shown that attention is often tuned to the relative feature of the target, that the target has in relation to other items in the surround (e.g., redder/greener, darker/lighter, larger/smaller), in line with a Relational Account of Attention. Previous research is still limited though, as it used repeated-target designs and relatively sparse displays. With this, it is still unknown whether we can indeed tune attention to relative features prior to the first eye movement, or whether this requires context knowledge gained from experience. Moreover, it is unclear how search progresses from one item to the next. The present study tested these questions in a 36-item search display with multiple distractors and variable target and non-target colours. The first fixations on a trial showed that these displays still reliably evoked relational search, even when observers had no knowledge of the context. Moreover, the first five fixations within a trial showed that we tend to select the most extreme items first, followed by the next-extreme, until the target is found, in line with the relational account. These findings show that information about the relative target feature can be rapidly extracted and is used to guide attention in the first fixation(s) of search, whereby attention only hones in on the target colour after multiple fixations on relatively more extreme distractors.
Source: Cognition
Institution: The University of Queensland
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,910
Funder: Australian Research Council
OpenAlex ID: W4409198919