Vocal communication of emotion: a review of research paradigms
Speech Communication - Special issue on speech and emotion
Speech Emotion Perception by Human and Machine
Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction
Combining Facial and Postural Expressions of Emotions in a Virtual Character
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Postural expressions of action tendencies
Proceedings of the 2nd international workshop on Social signal processing
Front view vs. side view of facial and postural expressions of emotions in a virtual character
Transactions on edutainment VI
Understanding communicative emotions from collective external observations
CHI '12 Extended Abstracts on Human Factors in Computing Systems
What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?
ACM Transactions on Computer-Human Interaction (TOCHI)
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Emotion research is intrinsically confronted with a serious difficulty to access pertinent data. For both practical and ethical reasons, genuine and intense emotions are problematic to induce in the laboratory; and sampling sufficient data to capture an adequate variety of emotional episodes requires extensive resources. For researchers interested in emotional expressivity and nonverbal communication of emotion, this situation is further complicated by the pervasiveness of expressive regulations. Given that emotional expressions are likely to be regulated in most situations of our daily lives, spontaneous emotional expressions are especially difficult to access. We argue in this paper that, in view of the needs of current research programs in this field, well-designed corpora of acted emotion portrayals can play a useful role. We present some of the arguments motivating the creation of a multimodal corpus of emotion portrayals (Geneva Multimodal Emotion Portrayal, GEMEP) and discuss its overall benefits and limitations for emotion research.