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Domain-General Ability Underlies Complex Object Ensemble Processing
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AI
DOI：10.1037/xge0001110.png)
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Abstract
En 中文
When seeing groups of objects, various features can be extracted to form an ensemble representation, including low-level features such as orientation and higher-level features like facial expression. Past research proposed distinct abilities for ensemble coding of high-level versus low-level visual features, but the only complex objects used were faces. Here, we examine evidence for a shared ability supporting ensemble representations for complex objects from different object categories. In 2 experiments, participants completed an ensemble mean judgment task for an array of 4 objects, including planes and birds (Experiment 1) or cars and birds (Experiment 2). We also measured and controlled for domain-specific recognition ability. Across the 2 experiments, performance on ensemble judgments with different objects were correlated, even after controlled for domain-specific recognition abilities. These findings provide the strongest evidence to date of a domain-general ability involved in complex object ensemble coding.
Keywords:
ensemble perception
individual differences
object recognition
summary statistics
Journal
J
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