Spatio-Temporal Properties of Amused, Embarrassed, and Pained Smiles (original) (raw)
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Dynamics of facial expression: Normative characteristics and individual differences
2001
ABSTRACT Although the importance of facial expression in human computer interaction and in normal human interaction is widely acknowledged, there is very little data on the normative characteristics and stable individual differences for even the most common facial expressions. Dynamic characteristics of 195 spontaneous smiles from 95 individuals were measured using the facial action coding system, automated facial analysis and facial electromyography.
Journal of Nonverbal …, 1989
Twenty subjects judged 80 video segments containing brief episodes of smiling behavior for expression intensity and happiness of the stimulus person. The video records were produced under instructions to (a) pose, (b) experience a happy feeling or (c) to both experience and show a happy feeling. An analysis of the integrated facial electromyogram (EMG), recorded over four muscle regions (zygomaticus major, depressor anguli oris, corrugator supercilii, and masseter), showed that judgments of happiness and of intensity of expression could be predicted in a multiple regression analysis (multiple R = .64 for perceived happiness and .79 for perceived expression intensity). The perception of happiness was affected by EMG activity in regions other than zygomaticus major. The use of parameters other than the mean of the integrated EMG, namely variance, skewness, kurtosis and properties of the amplitude distributions across time, provided accurate classification of the elicitation conditions (pose happiness versus experience happiness) in a discriminant analysis. For the discrimination of posed and felt smiles variables describing aspects of facial activity in the temporal domain were more useful than any of the other measures. It is suggested that facial EMG can be a useful tool in the analysis of both the encoding and decoding of expressive behavior. The results indicate the advantage of using multiple-site EMG recordings as weil as of using amplitude and temporal characteristics of the facial EMG measures.
Dynamic properties of successful smiles
PLOS ONE
Facial expression of emotion is a foundational aspect of social interaction and nonverbal communication. In this study, we use a computer-animated 3D facial tool to investigate how dynamic properties of a smile are perceived. We created smile animations where we systematically manipulated the smile's angle, extent, dental show, and dynamic symmetry. Then we asked a diverse sample of 802 participants to rate the smiles in terms of their effectiveness, genuineness, pleasantness, and perceived emotional intent. We define a "successful smile" as one that is rated effective, genuine, and pleasant in the colloquial sense of these words. We found that a successful smile can be expressed via a variety of different spatiotemporal trajectories, involving an intricate balance of mouth angle, smile extent, and dental show combined with dynamic symmetry. These findings have broad applications in a variety of areas, such as facial reanimation surgery, rehabilitation, computer graphics, and psychology.
Differences in facial expressions of four universal emotions
Psychiatry Research, 2004
The facial action coding system (FACS) was used to examine recognition rates in 105 healthy young men and women who viewed 128 facial expressions of posed and evoked happy, sad, angry and fearful emotions in color photographs balanced for gender and ethnicity of poser. Categorical analyses determined the specificity of individual action units for each emotion. Relationships between recognition rates for different emotions and action units were evaluated using a logistic regression model. Each emotion could be identified by a group of action units, characteristic to the emotion and distinct from other emotions. Characteristic happy expressions comprised raised inner eyebrows, tightened lower eyelid, raised cheeks, upper lip raised and lip corners turned upward. Recognition of happy faces was associated with cheek raise, lid tightening and outer brow raise. Characteristic sad expressions comprised furrowed eyebrow, opened mouth with upper lip being raised, lip corners stretched and turned down, and chin pulled up. Only brow lower and chin raise were associated with sad recognition. Characteristic anger expressions comprised lowered eyebrows, eyes wide open with tightened lower lid, lips exposing teeth and stretched lip corners. Recognition of angry faces was associated with lowered eyebrows, upper lid raise and lower lip depression. Characteristic fear expressions comprised eyes wide open, furrowed and raised eyebrows and stretched mouth. Recognition of fearful faces was most highly associated with upper lip raise and nostril dilation, although both occurred infrequently, and with inner brow raise and widened eyes. Comparisons are made with previous studies that used different facial stimuli.
Spontaneous Facial Expressions Reveal New Action Units for the Sad Experiences
Journal of Nonverbal Behavior, 2017
Facial expressions related to sadness are a universal signal of nonverbal communication. Although results of many psychology studies have shown that drooping of the lip corners, raising of the chin, and oblique eyebrow movements (a combination of inner brow raising and brow lowering) express sadness, no report has described a study elucidating facial expression characteristics under well-controlled circumstances with people actually experiencing the emotion of sadness itself. Therefore, spontaneous facial expressions associated with sadness remain unclear. We conducted this study to accumulate important findings related to spontaneous facial expressions of sadness. We recorded the spontaneous facial expressions of a group of participants as they experienced sadness during an emotion-elicitation task. This task required a participant to recall neutral and sad memories while listening to music. We subsequently conducted a detailed analysis of their sad and neutral expressions using the Facial Action Coding System. The prototypical facial expressions of sadness in earlier studies were not observed when people experienced sadness as an internal state under non-social circumstances. By contrast, they expressed tension around the mouth, which might function as a form of suppression. Furthermore, results show that parts of these facial actions are not only related to sad experiences but also to other emotional experiences such as disgust, fear, anger, and happiness. This study revealed the possibility that new facial expressions contribute to the experience of sadness as an internal state.
Effects of dynamic aspects of facial expressions: A review
A key feature of facial behavior is its dynamic quality. However, most previous research has been limited to the use of static images of prototypical expressive patterns. This article explores the role of facial dynamics in the perception of emotions, reviewing relevant empirical evidence demonstrating that dynamic information improves coherence in the identification of affect (particularly for degraded and subtle stimuli), leads to higher emotion judgments (i.e., intensity and arousal), and helps to differentiate between genuine and fake expressions. The findings underline that using static expressions not only poses problems of ecological validity, but also limits our understanding of what facial activity does. Implications for future research on facial activity, particularly for social neuroscience and affective computing, are discussed.