The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The perception of emotions by ear and by eye
Open accessAbstract
Emotions are expressed in the voice as well as on the face. As a first step to explore the question of their integration, we used a bimodal perception situation modelled after the McGurk paradigm, in which varying degrees of discordance can be created between the affects expressed in a face and in a tone of voice. Experiment 1 showed that subjects can effectively combine information from the two sources, in that identification of the emotion in the face is biased in the direction of the simultaneously presented tone of voice. Experiment 2 showed that this effect occurs also under instructions to base the judgement exclusively on the face. Experiment 3 showed the reverse effect, a bias from the emotion in the face on judgement of the emotion in the voice. These results strongly suggest the existence of mandatory bidirectional links between affect detection structures in vision and audition.
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Citations
Cites
An argument for basic emotions
Ekman, P. (1992) · Cognition and Emotion · doi:10.1080/02699939208411068 · Cited by 9,646
Fodor, J. A. (1983) · doi:10.7551/mitpress/4737.001.0001 · Cited by 7,734
Hearing lips and seeing voices
MCGURK, H., & MACDONALD, J. (1976) · Nature · doi:10.1038/264746a0 · Cited by 6,183
Yin, R. K. (1969) · Journal of Experimental Psychology · doi:10.1037/h0027474 · Cited by 2,624
Inference of attitudes from nonverbal communication in two channels.
Mehrabian, A., & Ferris, S. R. (1967) · Journal of Consulting Psychology · doi:10.1037/h0024648 · Cited by 952
Emotions and speech: some acoustical correlates.
Williams, C. E., & Stevens, K. N. (1972) · The Journal of the Acoustical Society of America · doi:10.1121/1.1913238 · Cited by 735 · cited 3×
“Most attention has been paid to the contribution of variations in pitch, duration, loudness, and voice quality as measured in natural or in simulated affective speech (e.g., Cummings & Clemments, 1995; Liberman & Michaels, 1962; Williams & Stevens, 1972).”
BackgroundGreen, K. P., Kuhl, P. K., Meltzoff, A. N., & Stevens, E. B. (1991) · Perception & Psychophysics · doi:10.3758/bf03207536 · Cited by 239 · cited 1×
“In the study by Green, Kuhl, and Meltzoff (1991) subjects were aware of the discrepancy of the gender of the face and the voice.”
BackgroundAn audiovisual test of kinematic primitives for visual speech perception.
Rosenblum, L. D., & Saldaña, H. M. (1996) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.22.2.318 · Cited by 204
Cited by
Understanding the recognition of facial identity and facial expression
Calder, A. J., & Young, A. W. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1724 · Cited by 948
The impact of atypical sensory processing on social impairments in autism spectrum disorder
Thye, M. D., Bednarz, H. M., Herringshaw, A. J., Sartin, E. B., & Kana, R. K. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.04.010 · Cited by 513
“In TD, there is evidence that visual and auditory stimuli (Massaro and Egan, 1996; Piwek et al., 2015; Stienen et al., 2011; de Gelder and Vroomen, 2000) as well as visual and olfactory stimuli (Novak et al., 2015) are integrated in emotion detection.”
Body expressions influence recognition of emotions in the face and voice.
Van den Stock, J., Righart, R., & de Gelder, B. (2007) · Emotion · doi:10.1037/1528-3542.7.3.487 · Cited by 457
Self-citationScherer, K. R., Johnstone, & Klasmeyer, G. (2002) · Handbook of Affective Sciences · doi:10.1093/oso/9780195126013.003.0023 · Cited by 426
Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
Vinciarelli, A., Pantic, M., Heylen, D., Pelachaud, C., Poggi, I., D'Errico, F., & Schroeder, M. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.27 · Cited by 381
Metadata
- Authors
- de Gelder, B., & Vroomen, J.
- Venue
- Cognition & Emotion
- Publisher
- Informa UK Limited
- Published
- 2000-05
- Volume
- 14
- Issue
- 3
- Pages
- 289-311
- ISSN
- 0269-9931 (ISSN-L)
- 1464-0600
- OpenAlex
- W2075274068
- Cited by
- 629
- References
- 8
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
