When categories collide: accumulation of information about multiple categories in rapid scene perception.
نویسندگان
چکیده
Experiments have shown that people can rapidly determine if categories such as "animal" or "beach" are present in scenes that are presented for only a few milliseconds. Typically, observers in these experiments report on one prespecified category. For the first time, we show that observers can rapidly extract information about multiple categories. Moreover, we demonstrate task-dependent interactions between accumulating information about different categories in a scene. This interaction can be constructive or destructive, depending on whether the presence of one category can be taken as evidence for or against the presence of the other.
منابع مشابه
Recalibrating color categories using world knowledge.
When the perceptual system uses color to facilitate object recognition, it must solve the color-constancy problem: The light an object reflects to an observer's eyes confounds properties of the source of the illumination with the surface reflectance of the object. Information from the visual scene (bottom-up information) is insufficient to solve this problem. We show that observers use world kn...
متن کاملThe importance of information localization in scene gist recognition.
People can recognize the meaning or gist of a scene from a single glance, and a few recent studies have begun to examine the sorts of information that contribute to scene gist recognition. The authors of the present study used visual masking coupled with image manipulations (randomizing phase while maintaining the Fourier amplitude spectrum; random image structure evolution [RISE]; J. Sadr & P....
متن کاملNatural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex
During natural vision, humans categorize the scenes they encounter: an office, the beach, and so on. These categories are informed by knowledge of the way that objects co-occur in natural scenes. How does the human brain aggregate information about objects to represent scene categories? To explore this issue, we used statistical learning methods to learn categories that objectively capture the ...
متن کاملGetting the gist of events: recognition of two-participant actions from brief displays.
Unlike rapid scene and object recognition from brief displays, little is known about recognition of event categories and event roles from minimal visual information. In 3 experiments, we displayed naturalistic photographs of a wide range of 2-participant event scenes for 37 ms and 73 ms followed by a mask, and found that event categories (the event gist; e.g., "kicking," "pushing") and event ro...
متن کاملBinocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements
How does the brain maintain stable fusion of 3D scenes when the eyes move? Every eye movement causes each retinal position to process a different set of scenic features, and thus the brain needs to binocularly fuse new combinations of features at each position after an eye movement. Despite these breaks in retinotopic fusion due to each movement, previously fused representations of a scene in d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Psychological science
دوره 22 6 شماره
صفحات -
تاریخ انتشار 2011