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Dataset Information

Automaticity in the recognition of nonverbal emotional vocalizations.


ABSTRACT: The ability to perceive the emotions of others is crucial for everyday social interactions. Important aspects of visual socioemotional processing, such as the recognition of facial expressions, are known to depend on largely automatic mechanisms. However, whether and how properties of automaticity extend to the auditory domain remains poorly understood. Here we ask if nonverbal auditory emotion recognition is a controlled deliberate or an automatic efficient process, using vocalizations such as laughter, crying, and screams. In a between-subjects design (N = 112), and covering eight emotions (four positive), we determined whether emotion recognition accuracy (a) is improved when participants actively deliberate about their responses (compared with when they respond as fast as possible) and

SUBMITTER: Lima CF 

PROVIDER: S-EPMC6383750 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature