Print Email Facebook Twitter Context mitigates crowding Title Context mitigates crowding: Peripheral object recognition in real-world images Author Wijntjes, M.W.A. (TU Delft Human Information Communication Design) Rosenholtz, Ruth (Massachusetts Institute of Technology) Date 2018 Abstract Object recognition is often conceived of as proceeding by segmenting an object from its surround, then integrating its features. In turn, peripheral vision's sensitivity to clutter, known as visual crowding, has been framed as due to a failure to restrict that integration to features belonging to the object. We hand-segment objects from their background, and find that rather than helping peripheral recognition, this impairs it when compared to viewing the object in its real-world context. Context is in fact so important that it alone (no visible target object) is just as informative, in our experiments, as seeing the object alone. Finally, we find no advantage to separately viewing the context and segmented object. These results, taken together, suggest that we should not think of recognition as ideally operating on pre-segmented objects, nor of crowding as the failure to do so. Subject ContextCrowdingIntegrationObject recognitionShrink-wrap To reference this document use: http://resolver.tudelft.nl/uuid:4b20b0a8-acf5-4390-93a8-e2135e6c5600 DOI https://doi.org/10.1016/j.cognition.2018.06.015 Embargo date 2019-07-25 ISSN 0010-0277 Source Cognition, 180, 158-164 Bibliographical note Accepted author manuscript Part of collection Institutional Repository Document type journal article Rights © 2018 M.W.A. Wijntjes, Ruth Rosenholtz Files PDF contextmitigatescrowding.pdf 1.54 MB Close viewer /islandora/object/uuid:4b20b0a8-acf5-4390-93a8-e2135e6c5600/datastream/OBJ/view