Published: Aug. 17, 2023

People infer others’ emotions based on an immense array of information, including facial expressions, prosody, and content speech. How do people perform this complex inferential feat using naturalistic, dynamic, multimodal input? We propose that such affective cognition is not only structured rational, but also optimal flexible. tested hypothesis across four behavioral experiments, in two different cultures with machine learning modeling, to investigate how accurately are able identify a target’s affect as they describe emotional life events, when given combinations modalities. Comparisons state-of-the-art deep models suggest human reasoning the available perceptual information; it flexible tend rely linguistic adapt more expressions former unavailable. Our results support view everyday social interactions.

Language: Английский