TY - JOUR
T1 - The dynamic process of ambiguous emotion perception
AU - Neta, Maital
AU - Berkebile, Michael M.
AU - Freeman, Jonathan B.
N1 - Funding Information:
This work was supported by the National Institute of Mental Health [grant number NIMH111640; PI:Neta], and by Nebraska Tobacco Settlement Biomedical Research Enhancement Funds. We thank Tien Tong and Nicholas Harp for help with data collection/entry and Benjamin Barnett for help with testing perceptual similarity.
Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - Everyday social interactions hinge on our ability to resolve uncertainty in nonverbal cues. For example, although some facial expressions (e.g. happy, angry) convey a clear affective meaning, others (e.g. surprise) are ambiguous, in that their meaning is determined by the context. Here, we used mouse-tracking to examine the underlying process of resolving uncertainty. Previous work has suggested an initial negativity, in part via faster response times for negative than positive ratings of surprise. We examined valence categorizations of filtered images in order to compare faster (low spatial frequencies; LSF) versus more deliberate processing (high spatial frequencies; HSF). When participants categorised faces as “positive”, they first exhibited a partial attraction toward the competing (“negative”) response option, and this effect was exacerbated for HSF than LSF faces. Thus, the effect of response conflict due to an initial negativity bias was exaggerated for HSF faces, likely because these images allow for greater deliberation than the LSFs. These results are consistent with the notion that more positive categorizations are characterised by an initial attraction to a default, negative response.
AB - Everyday social interactions hinge on our ability to resolve uncertainty in nonverbal cues. For example, although some facial expressions (e.g. happy, angry) convey a clear affective meaning, others (e.g. surprise) are ambiguous, in that their meaning is determined by the context. Here, we used mouse-tracking to examine the underlying process of resolving uncertainty. Previous work has suggested an initial negativity, in part via faster response times for negative than positive ratings of surprise. We examined valence categorizations of filtered images in order to compare faster (low spatial frequencies; LSF) versus more deliberate processing (high spatial frequencies; HSF). When participants categorised faces as “positive”, they first exhibited a partial attraction toward the competing (“negative”) response option, and this effect was exacerbated for HSF than LSF faces. Thus, the effect of response conflict due to an initial negativity bias was exaggerated for HSF faces, likely because these images allow for greater deliberation than the LSFs. These results are consistent with the notion that more positive categorizations are characterised by an initial attraction to a default, negative response.
KW - Emotion regulation
KW - ambiguity
KW - negativity bias
KW - response conflict
KW - trajectories
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U2 - 10.1080/02699931.2020.1862063
DO - 10.1080/02699931.2020.1862063
M3 - Article
C2 - 33356873
AN - SCOPUS:85098593994
SN - 0269-9931
VL - 35
SP - 722
EP - 729
JO - Cognition and Emotion
JF - Cognition and Emotion
IS - 4
ER -