Dataset: Identifying critical kinematic features of animate motion and contribution to animacy perception
Description
Humans can distinguish flying birds from drones based solely on motion features when no image information is available. However, it remains unclear which motion features of animate motion induce our animacy perception. To address this, we first analyzed the differences in centroid motion between birds and drones, and discovered that birds exhibit greater acceleration, angular speed, and trajectory fluctuations. We further determined the order of their importance in evoking animacy perception was trajectory fluctuations, acceleration and speed. More interestingly, people judge whether a moving object is alive using a feature-matching strategy, implying that animacy perception is induced in a key feature-triggered way rather than relying on the accumulation of evidence. Our findings not only shed light on the critical motion features that induce animacy perception and their relative contributions, but also have important implications for developing target classification algorithms based on motion features.
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Funding
National Key Research and Development Program of China
2018AAA0100201
National Natural Science Foundation of China
31830037
Open Research Fund of the State Key Laboratory of Cognitive Neuroscience and Learning
CNLZD1803