Kathryn Koehler
University of California, Santa Barbara
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Publication
Featured researches published by Kathryn Koehler.
Journal of Experimental Psychology: Human Perception and Performance | 2017
Kathryn Koehler; Miguel P. Eckstein
Although the facilitation of visual search by contextual information is well established, there is little understanding of the independent contributions of different types of contextual cues in scenes. Here we manipulated 3 types of contextual information: object co-occurrence, multiple object configurations, and background category. We isolated the benefits of each contextual cue to target detectability, its impact on decision bias, confidence, and the guidance of eye movements. We find that object-based information guides eye movements and facilitates perceptual judgments more than scene background. The degree of guidance and facilitation of each contextual cue can be related to its inherent informativeness about the target spatial location as measured by human explicit judgments about likely target locations. Our results improve the understanding of the contributions of distinct contextual scene components to search and suggest that the brain’s utilization of cues to guide eye movements is linked to the cue’s informativeness about the target’s location.
Current Biology | 2017
Miguel P. Eckstein; Kathryn Koehler; Lauren Welbourne; Emre Akbas
Even with great advances in machine vision, animals are still unmatched in their ability to visually search complex scenes. Animals from bees [1, 2] to birds [3] to humans [4-12] learn about the statistical relations in visual environments to guide and aid their search for targets. Here, we investigate a novel manner in which humans utilize rapidly acquired information about scenes by guiding search toward likely target sizes. We show that humans often miss targets when their size is inconsistent with the rest of the scene, even when the targets were made larger and more salient and observers fixated the target. In contrast, we show that state-of-the-art deep neural networks do not exhibit such deficits in finding mis-scaled targets but, unlike humans, can be fooled by target-shaped distractors that are inconsistent with the expected targets size within the scene. Thus, it is not a human deficiency to miss targets when they are inconsistent in size with the scene; instead, it is a byproduct of a useful strategy that the brain has implemented to rapidly discount potential distractors.
Journal of Vision | 2014
Kathryn Koehler; Fei Guo; Sheng Zhang; Miguel P. Eckstein
Journal of Vision | 2017
Kathryn Koehler; Miguel P. Eckstein
Cognitive Science | 2015
Kathryn Koehler; Miguel P. Eckstein
Journal of Vision | 2012
Kathryn Koehler; Emre Akbas; Matthew F. Peterson; Miguel P. Eckstein
Journal of Vision | 2011
Kathryn Koehler; Fei Guo; Sheng Zhang; Miguel P. Eckstein
publisher | None
author
Journal of Vision | 2016
Miguel P. Eckstein; Kathryn Koehler
Journal of Vision | 2015
Kathryn Koehler; Miguel P. Eckstein