Abstract
The current study investigates the influence of mood (sad, happy, or neutral) on the valence/intensity ratings of facial expressions of sad, happy, and neutral emotions. The study uses video clips for mood induction and color photographs of emotional facial expressions. Under these conditions, the results show that participants give more extreme ratings to the emotion displayed (happy or sad) when in happy or sad mood without mood-congruence effects. This effect supports the conclusion that arousal alone may play a role in emotion valence/intensity rating (in contrast to results showing mood congruence in other tasks like emotion recognition and detection of emotional expression change). The explanation proposed in the paper is that experienced arousal might guide judgments about the intensity of emotions expressed by other people – when in a more aroused state, a person tends judge that other people also experience more intense emotions.
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Hristova, E., Grinberg, M. (2015). Influence of Induced Mood on the Rating of Emotional Valence and Intensity of Facial Expressions. In: Bassis, S., Esposito, A., Morabito, F. (eds) Advances in Neural Networks: Computational and Theoretical Issues. Smart Innovation, Systems and Technologies, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-18164-6_29
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DOI: https://doi.org/10.1007/978-3-319-18164-6_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18163-9
Online ISBN: 978-3-319-18164-6
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