Processing of Individual Items during Ensemble Coding of Facial Expressions

Authors: Li, H., Ji, L., Tong, K., Ren, N., Chen, W., Liu, C.H. and Fu, X.

http://eprints.bournemouth.ac.uk/24732/

Journal: Frontiers in Psychology

Volume: 7

Pages: 1-11

Publisher: Frontiers Media

ISSN: 1664-1078

DOI: 10.3389/fpsyg.2016.01332

This data was imported from PubMed:

Authors: Li, H., Ji, L., Tong, K., Ren, N., Chen, W., Liu, C.H. and Fu, X.

http://eprints.bournemouth.ac.uk/24732/

Journal: Front Psychol

Volume: 7

Pages: 1332

ISSN: 1664-1078

DOI: 10.3389/fpsyg.2016.01332

There is growing evidence that human observers are able to extract the mean emotion or other type of information from a set of faces. The most intriguing aspect of this phenomenon is that observers often fail to identify or form a representation for individual faces in a face set. However, most of these results were based on judgments under limited processing resource. We examined a wider range of exposure time and observed how the relationship between the extraction of a mean and representation of individual facial expressions would change. The results showed that with an exposure time of 50 ms for the faces, observers were more sensitive to mean representation over individual representation, replicating the typical findings in the literature. With longer exposure time, however, observers were able to extract both individual and mean representation more accurately. Furthermore, diffusion model analysis revealed that the mean representation is also more prone to suffer from the noise accumulated in redundant processing time and leads to a more conservative decision bias, whereas individual representations seem more resistant to this noise. Results suggest that the encoding of emotional information from multiple faces may take two forms: single face processing and crowd face processing.

This data was imported from Scopus:

Authors: Li, H., Ji, L., Tong, K., Ren, N., Chen, W., Liu, C.H. and Fu, X.

http://eprints.bournemouth.ac.uk/24732/

Journal: Frontiers in Psychology

Volume: 7

Issue: SEP

eISSN: 1664-1078

DOI: 10.3389/fpsyg.2016.01332

© 2016 Li, Ji, Tong, Ren, Chen, Liu and Fu. There is growing evidence that human observers are able to extract the mean emotion or other type of information from a set of faces. The most intriguing aspect of this phenomenon is that observers often fail to identify or form a representation for individual faces in a face set. However, most of these results were based on judgments under limited processing resource. We examined a wider range of exposure time and observed how the relationship between the extraction of a mean and representation of individual facial expressions would change. The results showed that with an exposure time of 50 ms for the faces, observers were more sensitive to mean representation over individual representation, replicating the typical findings in the literature. With longer exposure time, however, observers were able to extract both individual and mean representation more accurately. Furthermore, diffusion model analysis revealed that the mean representation is also more prone to suffer from the noise accumulated in redundant processing time and leads to a more conservative decision bias, whereas individual representations seem more resistant to this noise. Results suggest that the encoding of emotional information from multiple faces may take two forms: single face processing and crowd face processing.

This data was imported from Web of Science (Lite):

Authors: Li, H., Ji, L., Tong, K., Ren, N., Chen, W., Liu, C.H. and Fu, X.

http://eprints.bournemouth.ac.uk/24732/

Journal: FRONTIERS IN PSYCHOLOGY

Volume: 7

ISSN: 1664-1078

DOI: 10.3389/fpsyg.2016.01332

This data was imported from Europe PubMed Central:

Authors: Li, H., Ji, L., Tong, K., Ren, N., Chen, W., Liu, C.H. and Fu, X.

http://eprints.bournemouth.ac.uk/24732/

Journal: Frontiers in psychology

Volume: 7

Pages: 1332

eISSN: 1664-1078

There is growing evidence that human observers are able to extract the mean emotion or other type of information from a set of faces. The most intriguing aspect of this phenomenon is that observers often fail to identify or form a representation for individual faces in a face set. However, most of these results were based on judgments under limited processing resource. We examined a wider range of exposure time and observed how the relationship between the extraction of a mean and representation of individual facial expressions would change. The results showed that with an exposure time of 50 ms for the faces, observers were more sensitive to mean representation over individual representation, replicating the typical findings in the literature. With longer exposure time, however, observers were able to extract both individual and mean representation more accurately. Furthermore, diffusion model analysis revealed that the mean representation is also more prone to suffer from the noise accumulated in redundant processing time and leads to a more conservative decision bias, whereas individual representations seem more resistant to this noise. Results suggest that the encoding of emotional information from multiple faces may take two forms: single face processing and crowd face processing.

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