期刊
VISION RESEARCH
卷 181, 期 -, 页码 10-20出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.visres.2020.11.003
关键词
Scene grammar; Attention; Scene perception; Search; Prediction hierarchies; Anchors
资金
- Emmy Noether-Programm of the Deutsche Forschungsgemeinschaft (DFG) [VO 1683/2-1]
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [222641018 -SFB/TRR 135]
- Vision Sciences Society
- Elsevier
Studying the grammar of cognition allows for a better understanding of unfamiliar objects and scenes, providing new insights into the complex workings of attention, perception, and cognition.
We live in a rich, three dimensional world with complex arrangements of meaningful objects. For decades, however, theories of visual attention and perception have been based on findings generated from lines and color patches. While these theories have been indispensable for our field, the time has come to move on from this rather impoverished view of the world and (at least try to) get closer to the real thing. After all, our visual environment consists of objects that we not only look at, but constantly interact with. Having incorporated the meaning and structure of scenes, i.e. its grammar, then allows us to easily understand objects and scenes we have never encountered before. Studying this grammar provides us with the fascinating opportunity to gain new insights into the complex workings of attention, perception, and cognition. In this review, I will discuss how the meaning and the complex, yet predictive structure of real-world scenes influence attention allocation, search, and object identification.
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