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Automaticity in the recognition of nonverbal emotional vocalizations

Lima, César F.; Anikin, Andrey LU ; Monteiro, Ana Catarina; Scott, Sophie K. and Castro, Sao Luis (2018) In Emotion
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... (More)
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 (b) is impaired when they respond under low and high levels of cognitive load (concurrent task involving memorizing sequences of six or eight digits, respectively). Response latencies were also measured. Mixed-effects models revealed that recognition accuracy was high across emotions, and only minimally affected by deliberation and cognitive load; the benefits of deliberation and costs of cognitive load were significant mostly for positive emotions, notably amusement/laughter, and smaller or absent for negative ones; response latencies did not suffer under low or high cognitive load; and high recognition accuracy (approximately 90%) could be reached within 500 ms after the stimulus onset, with performance exceeding chance-level already between 300 and 360 ms. These findings indicate that key features of automaticity, namely fast and efficient/effortless processing, might be a modality-independent component of emotion recognition. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
automaticity, cognitive load, deliberation, emotion recognition, nonverbal vocalizations
in
Emotion
publisher
American Psychological Association (APA)
external identifiers
  • scopus:85047340629
ISSN
1528-3542
DOI
10.1037/emo0000429
language
English
LU publication?
yes
id
e7230f44-b562-4e6f-acfd-2fed16cdcfe1
date added to LUP
2018-06-18 10:37:06
date last changed
2018-06-26 10:29:22
@article{e7230f44-b562-4e6f-acfd-2fed16cdcfe1,
  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 (b) is impaired when they respond under low and high levels of cognitive load (concurrent task involving memorizing sequences of six or eight digits, respectively). Response latencies were also measured. Mixed-effects models revealed that recognition accuracy was high across emotions, and only minimally affected by deliberation and cognitive load; the benefits of deliberation and costs of cognitive load were significant mostly for positive emotions, notably amusement/laughter, and smaller or absent for negative ones; response latencies did not suffer under low or high cognitive load; and high recognition accuracy (approximately 90%) could be reached within 500 ms after the stimulus onset, with performance exceeding chance-level already between 300 and 360 ms. These findings indicate that key features of automaticity, namely fast and efficient/effortless processing, might be a modality-independent component of emotion recognition.},
  author       = {Lima, César F. and Anikin, Andrey and Monteiro, Ana Catarina and Scott, Sophie K. and Castro, Sao Luis},
  issn         = {1528-3542},
  keyword      = {automaticity,cognitive load,deliberation,emotion recognition,nonverbal vocalizations},
  language     = {eng},
  publisher    = {American Psychological Association (APA)},
  series       = {Emotion},
  title        = {Automaticity in the recognition of nonverbal emotional vocalizations},
  url          = {http://dx.doi.org/10.1037/emo0000429},
  year         = {2018},
}