Human Learning of Contextual Priors for Object Search: Where Does the Time Go?
Abstract
Attention allocation in visual search is known to be influenced by low-level image features, visual scene context and top down task constraints. Here, we investigate the role of Contextual priors in guiding visual search by monitoring eye movements as participants search very familiar scenes for a target object. The goal of the study is to identify which stage of the visual search benefits from contextual priors. Two groups of participants differed in the expectation of target presence associated with a scene. Stronger priors are established when a scene exemplar is always associated with the presence of the target than when the scene is periodically observed with and without the target. In both cases, overall search performance improves over repeated presentations of scenes. An analytic decomposition of the time course of the effect of contextual priors shows a time benefit to the exploration stage of search (scan time) and a decrease in gaze duration on the target. The strength of the contextual relationship modulates the magnitude of gaze duration gain, while the scan time gain constitutes one half of the overall search performance benefit regardless of the probability (50% or 100%) of target presence. These data are discussed in terms of the implications of contextdependent scene processing and its putative role in various stages of visual search.
Cite
Text
Hidalgo-Sotelo et al. "Human Learning of Contextual Priors for Object Search: Where Does the Time Go?." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.470Markdown
[Hidalgo-Sotelo et al. "Human Learning of Contextual Priors for Object Search: Where Does the Time Go?." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/hidalgosotelo2005cvpr-human/) doi:10.1109/CVPR.2005.470BibTeX
@inproceedings{hidalgosotelo2005cvpr-human,
title = {{Human Learning of Contextual Priors for Object Search: Where Does the Time Go?}},
author = {Hidalgo-Sotelo, Barbara and Oliva, Aude and Torralba, Antonio},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2005},
pages = {86},
doi = {10.1109/CVPR.2005.470},
url = {https://mlanthology.org/cvpr/2005/hidalgosotelo2005cvpr-human/}
}