Disentangling diagnostic object properties for human scene categorization.

ABSTRACT: It usually only takes a single glance to categorize our environment into different scene categories (e.g. a kitchen or a highway). Object information has been suggested to play a crucial role in this process, and some proposals even claim that the recognition of a single object can be sufficient to categorize the scene around it. Here, we tested this claim in four behavioural experiments by having participants categorize real-world scene photographs that were reduced to a single, cut-out object. We show that single objects can indeed be sufficient for correct scene categorization and that scene category information can be extracted within 50 ms of object presentation. Furthermore, we identified object frequency and specificity for the target scene category as the most important object prop

SUBMITTER: Wiesmann SL 

PROVIDER: S-EPMC10090043 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature