The Look of Fear from the Eyes Varies with the Dynamic Sequence of Facial Actions

Most research on the ability to interpret expressions from the eyes has utilized static information. This research investigates whether the dynamic sequence of facial actions in the eye region influences the judgments of perceivers. Dynamic fear expressions involving the eye region and eyebrows were created which systematically differed in the sequential occurrence of facial actions. Participants rated the intensity of sequential fear expressions, either in addition to a simultaneous, full-blown expression (Experiment 1) or in combination with different levels of eye gaze (Experiment 2). The results showed that the degree of attributed emotion and the appraisal ratings differed as a function of the sequence of facial expressions of fear, with direct gaze resulting in stronger subjective responses. The findings challenge current notions surrounding the study of static facial displays from the eyes and suggest that emotion perception is a dynamic process shaped by the time course of the facial actions of an expression. Possible implications for the field of affective computing and clinical research are discussed

More What Duchenne Smiles Do, Less What They Express

We comment on an article by Sheldon et al. from a previous issue of Perspectives (May 2021). They argued that the presence of positive emotion (Hypothesis 1), the intensity of positive emotion (Hypothesis 2), and chronic positive mood (Hypothesis 3) are reliably signaled by the Duchenne smile (DS). We reexamined the cited literature in support of each hypothesis and show that the study findings were mostly inconclusive, irrelevant, incomplete, and/or misread. In fact, there is no single (empirical) article that would unanimously support the idea that DSs function solely as indicators of felt positive affect. Additional evidence is reviewed, suggesting that DSs can be—and often are—displayed deliberately and in the absence of positive feelings. Although DSs may lead to favorable interpersonal perceptions and positive emotional responses in the observer, we propose a functional view that focuses on what facial actions—here specifically DSs—do rather than what they express

The influence of facial blushing and paling on emotion perception and memory

Emotion expressions facilitate interpersonal communication by conveying information about a person’s affective state. The current work investigates how facial coloration (i.e., subtle changes in chromaticity from baseline facial color) impacts the perception of, and memory for, emotion expressions, and whether these depend on dynamic (vs. static) representations of emotional behavior. Emotion expressive stimuli that either did or did not vary in facial coloration were shown to participants who were asked to categorize and rate the stimuli’s intensity (Exps. 1 & 2), as well as recall their degree of facial coloration (Exps. 3 & 4). Results showed that changes in facial coloration facilitated emotion categorization accuracy in dynamic (Exp. 1) but not static expressions (Exp. 2). Facial coloration further increased perceived emotion intensity, with participants misremembering the coloration of both dynamic and static expressions differently depending on emotion category prototype (Exps. 3 & 4). Together, these findings indicate that facial coloration conveys affective information to observers and contributes to biases in how emotion expressions are perceived and remembered

The Interpersonal Effects of Emotions in Money versus Candy Games

Emotional expressions significantly influence perceivers’ behavior in economic games and negotiations. The current research examined the interpersonal effects of emotions when such information cannot be used to guide behavior for increasing personal gain and when monetary rewards are made salient. For this, a one-shot Public Goods Game (Studies 1, 2, and 3) and Dictator Game (Studies 4 and 5) were employed, in which the dominant strategy to maximize personal payoff is independent from the counterplayers’ intention signaled through their facial expressions (happiness, sadness, and anger). To elicit a monetary mindset, we used money (vs. candy) as the mode of exchange in the games with (Studies 1 and 2) or without (Studies 3, 4, and 5) additional contextual framing (i.e. Wall Street Game vs. Community Game). Across five studies (N = 1211), participants were found to be more generous towards happy and sad targets compared to angry ones. Such behavioral response based on emotional information was accounted for by the trait impressions (i.e. likability, trustworthiness) formed of the counterplayer. This effect was significantly reduced when money acted as the mode of exchange, thereby making participants focus more on their selfgain. Together, the findings extend previous work by highlighting the social functional role of emotions in human exchange and its moderation by money as a transaction medium

Observers perceive the Duchenne marker as signaling only intensity for sad expressions, not genuine emotion

The Duchenne marker-crow's feet wrinkles at the corner of the eyes-has a reputation for signaling genuine positive emotion in smiles. Here, we test whether this facial action might be better conceptualized as a marker of emotional intensity, rather than genuineness per se, and examine its perceptual outcomes beyond smiling, in sad expressions. For smiles, we found ratings of emotional intensity (how happy a face is) were unable to fully account for the effect of Duchenne status (present vs. absent) on ratings of emotion genuineness. The Duchenne marker made a unique direct contribution to the perceived genuineness of smiles, supporting its reputation for signaling genuine emotion in smiling. In contrast, across 4 experiments, we found Duchenne sad expressions were not rated as any more genuine or sincere than non-Duchenne ones. The Duchenne marker did however make sad expressions look sadder and more negative, just like it made smiles look happier and more positive. Together, these findings argue the Duchenne marker has an important role in sad as well as smiling expressions, but is interpreted differently in sad expressions (contributions to intensity only) compared with smiles (emotion genuineness independently of intensity). (PsycInfo Database Record (c) 2020 APA, all rights reserved)

Contextual effects on smile perception and recognition memory

Most past research has focused on the role played by social context information in emotion classification, such as whether a display is perceived as belonging to one emotion category or another. The current study aims to investigate whether the effect of context extends to the interpretation of emotion displays, i.e. smiles that could be judged either as posed or spontaneous readouts of underlying positive emotion. A between-subjects design (N = 93) was used to investigate the perception and recall of posed smiles, presented together with a happy or polite social context scenario. Results showed that smiles seen in a happy context were judged as more spontaneous than the same smiles presented in a polite context. Also, smiles were misremembered as having more of the physical attributes (i.e., Duchenne marker) associated with spontaneous enjoyment when they appeared in the happy than polite context condition. Together, these findings indicate that social context information is routinely encoded during emotion perception, thereby shaping the interpretation and recognition memory of facial expressions

PDSTD - The Portsmouth Dynamic Spontaneous Tears Database

The vast majority of research on human emotional tears has relied on posed and static stimulus materials. In this paper, we introduce the Portsmouth Dynamic Spontaneous Tears Database (PDSTD), a free resource comprising video recordings of 24 female encoders depicting a balanced representation of sadness stimuli with and without tears. Encoders watched a neutral film and a self-selected sad film and reported their emotional experience for 9 emotions. Extending this initial validation, we obtained norming data from an independent sample of naïve observers (N = 91, 45 females) who watched videos of the encoders during three time phases (neutral, pre-sadness, sadness), yielding a total of 72 validated recordings. Observers rated the expressions during each phase on 7 discrete emotions, negative and positive valence, arousal, and genuineness. All data were analyzed by means of general linear mixed modelling (GLMM) to account for sources of random variance. Our results confirm the successful elicitation of sadness, and demonstrate the presence of a tear effect, i.e., a substantial increase in perceived sadness for spontaneous dynamic weeping. To our knowledge, the PDSTD is the first database of spontaneously elicited dynamic tears and sadness that is openly available to researchers. The stimuli can be accessed free of charge via OSF from https://osf.io/uyjeg/?view_only=24474ec8d75949ccb9a8243651db0abf

Facial Mimicry of Spontaneous and Deliberate Duchenne and Non-Duchenne Smiles

Increasing evidence suggests that Duchenne (D) smiles may not only occur as a sign of spontaneous enjoyment, but can also be deliberately posed. The aim of this paper was to investigate whether people mimic spontaneous and deliberate D and non-D smiles to a similar extent. Facial EMG responses were recorded while participants viewed short video-clips of each smile category which they had to judge with respect to valence, arousal, and genuineness. In line with previous research, valence and arousal ratings varied significantly as a function of smile type and elicitation condition. However, differences in facial reactions occurred only for smile type (i.e., D and non-D smiles). The findings have important implications for questions relating to the role of facial mimicry in expression understanding and suggest that mimicry may be essential in discriminating among various meanings of smiles

Acting Surprised: Comparing Perceptions of Different Dynamic Deliberate Expressions

People are accurate at classifying emotions from facial expressions but much poorer at determining if such expressions are spontaneously felt or deliberately posed. We explored if the method used by senders to produce an expression influences the decoder’s ability to discriminate authenticity, drawing inspiration from two well-known acting techniques: the Stanislavski (internal) and Mimic method (external). We compared spontaneous surprise expressions in response to a jack-in-the-box (genuine condition), to posed displays of senders who either focused on their past affective state (internal condition) or the outward expression (external condition). Although decoders performed better than chance at discriminating the authenticity of all expressions, their accuracy was lower in classifying external surprise compared to internal surprise. Decoders also found it harder to discriminate external surprise from spontaneous surprise and were less confident in their decisions, perceiving these to be similarly intense but less genuine-looking. The findings suggest that senders are capable of voluntarily producing genuine-looking expressions of emotions with minimal effort, especially by mimicking a genuine expression. Implications for research on emotion recognition are discussed

Effectiveness of an Empathic Chatbot in Combating Adverse Effects of Social Exclusion on Mood

From past research it is well known that social exclusion has detrimental consequences for mental health. To deal with these adverse effects, socially excluded individuals frequently turn to other humans for emotional support. While chatbots can elicit social and emotional responses on the part of the human interlocutor, their effectiveness in the context of social exclusion has not been investigated. In the present study, we examined whether an empathic chatbot can serve as a buffer against the adverse effects of social ostracism. After experiencing exclusion on social media, participants were randomly assigned to either talk with an empathetic chatbot about it (e.g., “I’m sorry that this happened to you”) or a control condition where their responses were merely acknowledged (e.g., “Thank you for your feedback”). Replicating previous research, results revealed that experiences of social exclusion dampened the mood of participants. Interacting with an empathetic chatbot, however, appeared to have a mitigating impact. In particular, participants in the chatbot intervention condition reported higher mood than those in the control condition. Theoretical, methodological, and practical implications, as well as directions for future research are discussed