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When smiles (and frowns) speak words: Does power impact the correspondence between self-reported affect and facial expressions?

When smiles (and frowns) speak words: Does power impact the correspondence between self-reported affect and facial expressions?
When smiles (and frowns) speak words: Does power impact the correspondence between self-reported affect and facial expressions?
Self-reported experiences are often poor indicators of outward expressions. Here we examine social power as a variable that may impact the relationship between self-reported affect and facial expressions. Earlier studies addressing this issue were limited by focusing on a single facial expression (smiling) and by using different, less sensitive methods that yielded mostly null results. Sampling, for the first time, self-reported affect repeatedly in response to different negative, neutral and positive stimuli, and measuring concurrent facial muscle activation via electromyography, we found that high power (vs. baseline) increased the correspondence between self-reported positive affect and smiling. There was also an indication that high power (vs. baseline) bolstered the association between self-reported negative affect and frowning but the effect did not pass more stringent criteria for significance (p ≤.005) and was therefore deemed inconclusive. The prediction that low power (vs. baseline) decreases the correspondence between self-reported affect and smiling and frowning facial expressions was not supported. Taken together, it would appear that (high) power can impact the relationship between self-reported affect and facial expressions, but it remains to be seen whether this effect extends beyond smiling facial expressions.
affect, electromyography, facial expression, power
0007-1269
683-701
Leach, Stefan
6bdc5639-c135-46b8-bcf9-2dd00646ee9a
Weick, Mario
7041ee4c-3143-45de-871d-0cde27f4a8f8
Leach, Stefan
6bdc5639-c135-46b8-bcf9-2dd00646ee9a
Weick, Mario
7041ee4c-3143-45de-871d-0cde27f4a8f8

Leach, Stefan and Weick, Mario (2020) When smiles (and frowns) speak words: Does power impact the correspondence between self-reported affect and facial expressions? British Journal of Psychology, 111 (4), 683-701. (doi:10.1111/bjop.12433).

Record type: Article

Abstract

Self-reported experiences are often poor indicators of outward expressions. Here we examine social power as a variable that may impact the relationship between self-reported affect and facial expressions. Earlier studies addressing this issue were limited by focusing on a single facial expression (smiling) and by using different, less sensitive methods that yielded mostly null results. Sampling, for the first time, self-reported affect repeatedly in response to different negative, neutral and positive stimuli, and measuring concurrent facial muscle activation via electromyography, we found that high power (vs. baseline) increased the correspondence between self-reported positive affect and smiling. There was also an indication that high power (vs. baseline) bolstered the association between self-reported negative affect and frowning but the effect did not pass more stringent criteria for significance (p ≤.005) and was therefore deemed inconclusive. The prediction that low power (vs. baseline) decreases the correspondence between self-reported affect and smiling and frowning facial expressions was not supported. Taken together, it would appear that (high) power can impact the relationship between self-reported affect and facial expressions, but it remains to be seen whether this effect extends beyond smiling facial expressions.

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More information

e-pub ahead of print date: 3 January 2020
Additional Information: Publisher Copyright: © 2020 The British Psychological Society
Keywords: affect, electromyography, facial expression, power

Identifiers

Local EPrints ID: 503883
URI: http://eprints.soton.ac.uk/id/eprint/503883
ISSN: 0007-1269
PURE UUID: b50fc38c-5fe7-4e4d-9683-bef04e89e764
ORCID for Stefan Leach: ORCID iD orcid.org/0000-0003-4065-3519

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Date deposited: 15 Aug 2025 16:47
Last modified: 16 Aug 2025 02:16

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Author: Stefan Leach ORCID iD
Author: Mario Weick

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