Emoticons and facial emojis are ubiquitous in contemporary digital communication, where it has been proposed that they make up for the lack of social information from real faces. In this paper, I construe them as cultural artifacts that exploit the neurocognitive mechanisms for face perception. Building on a step-by-step comparison of psychological evidence on the perception of faces vis-à-vis the perception of emoticons/emojis, I assess to what extent they do effectively vicariate real faces with respect to the following four domains: (...) (1) the expression of emotions, (2) the cultural norms for expressing emotions, (3) conveying non-affective social information, and (4) attention prioritization. (shrink)

This paper argues that our folk-psychological expertise is a special case of extended and enculturated cognition where we learn to regulate both our own and others’ thought and action in accord with a wide array of culturally shaped folk-psychological norms. The view has three noteworthy features: it challenges a common assumption that the foundational capacity at work in folk-psychological expertise is one of interpreting behaviour in mentalistic terms, arguing instead that successful mindreading is largely a consequence of successful mindshaping; it (...) argues that our folk-psychological expertise is not only socially scaffolded in development, it continues to be socially supported and maintained in maturity, thereby presenting a radically different picture of what mature folk-psychological competency amounts to; it provides grounds for resisting a recent trend in theoretical explanations of quotidian social interaction that downplays the deployment of sophisticated mentalizing resources in understanding what others are doing. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. (...) The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

The field of emotion understanding is replete with measures, yet lacks an integrated conceptual organizing structure. To identify and organize skills associated with the recognition and knowledge of emotions, and to highlight the focus of emotion understanding as localized in the self, in specific others, and in generalized others, we introduce the conceptual framework of Emotion Understanding in Recognition and Knowledge Abilities (EUReKA). We then categorize 56 existing methods of emotion understanding within this framework to highlight current gaps and future (...) opportunities in assessing emotion understanding across the lifespan. We hope the EUReKA model provides a systematic and integrated framework for conceptualizing and measuring emotion understanding for future research. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. (...) The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

Evidence does not support the claim that observers universally recognize basic emotions from signals on the face. The percentage of observers who matched the face with the predicted emotion (matching score) is not universal, but varies with culture and language. Matching scores are also inflated by the commonly used methods: within-subject design; posed, exaggerated facial expressions (devoid of context); multiple examples of each type of expression; and a response format that funnels a variety of interpretations into one word specified by (...) the experimenter. Without these methodological aids, matching scores are modest and subject to various explanations. (shrink)

Drawing on research reviewed in this special section, the present article discusses how various contextual factors impact on production and decoding of emotion-related facial activity. Although emotion-related variables often contribute to activation of prototypical “emotion expressions” and perceivers can often infer emotional meanings from these facial configurations, neither process is invariant or direct. Many facial movements are directed towards or away from events in the shared environment, and their effects depend on these relational orientations. Facial activity is not only a (...) medium for descriptive representation of internal affective states, but also a means of adjusting to, and operating on, external objects, and of influencing other people’s appraisals of those objects. (shrink)

Most research on cross-cultural emotion recognition has focused on facial expressions. To integrate the body of evidence on vocal expression, we present a meta-analysis of 37 cross-cultural studies...

For more than a century expressions have been approached as bidimensional, static, instantaneous, self-contained, well-defined, and universal signals. These assumptions are starting to be empirically reconsidered: this special section of Emotion Review includes reviews on the physical, social, and cultural dynamics of expressions, and on the complex ways in which, throughout the lifespan, facial behavior and emotion are perceived and categorized by primates’ and humans’ brain. All these advances are certainly paving the way for new exciting approaches to facial behavior (...) more likely to strike an appropriate balance between description and explanation. (shrink)