Turning visual search time on its head

Arun, S.P. (2012) Turning visual search time on its head Vision Research, 74 . pp. 86-92. ISSN 0042-6989

Full text not available from this repository.

Official URL: https://doi.org/https://doi.org/10.1016/j.visres.2...

Related URL: http://dx.doi.org/https://doi.org/10.1016/j.visres.2012.04.005

Abstract

Our everyday visual experience frequently involves searching for objects in clutter. Why are some searches easy and others hard? It is generally believed that the time taken to find a target increases as it becomes similar to its surrounding distractors. Here, I show that while this is qualitatively true, the exact relationship is in fact not linear. In a simple search experiment, when subjects searched for a bar differing in orientation from its distractors, search time was inversely proportional to the angular difference in orientation. Thus, rather than taking search reaction time (RT) to be a measure of target–distractor similarity, we can literally turn search time on its head (i.e. take its reciprocal 1/RT) to obtain a measure of search dissimilarity that varies linearly over a large range of target–distractor differences. I show that this dissimilarity measure has the properties of a distance metric, and report two interesting insights come from this measure: First, for a large number of searches, search asymmetries are relatively rare and when they do occur, differ by a fixed distance. Second, search distances can be used to elucidate object representations that underlie search – for example, these representations are roughly invariant to three-dimensional view. Finally, search distance has a straightforward interpretation in the context of accumulator models of search, where it is proportional to the discriminative signal that is integrated to produce a response. This is consistent with recent studies that have linked this distance to neuronal discriminability in visual cortex. Thus, while search time remains the more direct measure of visual search, its reciprocal also has the potential for interesting and novel insights.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Object Representations; Object Recognition; Perceptual Similarity; Psychophysics; Visual Search
ID Code:140455
Deposited On:03 Oct 2025 13:44
Last Modified:03 Oct 2025 13:44

Repository Staff Only: item control page