Understanding emotions is key to Affective Computing. Emotion recognition focuses on the
communicative component of emotions encoded in social signals. This view alone is …

Nonverbal behavior of socially interactive agents (SIAs) is often automatically generated and
identical across all users. This approach, though economic, might have counterproductive …

[…] and characteristics for games […] in non-game contexts”[Deterding et al. 2011, p. 13].
Serious games are explicitly designed to serve a serious purpose. Such games can be …

Movement synchrony is the temporal coordination of postures and gestures between
interaction partners (1). In contrast to mimicry—which is defined as an unconscious imitation …

We present an analysis of the pleasure, arousal, and dominance social signals inferred from
people faces, and how, despite their noisy nature, these can be used to drive a model of …

Computational emotion recognition focuses on observable expressions. In the case of highly
unpleasant emotions that are rarely displayed openly and mostly unconsciously regulated …

Social interactions shape our human life and are inherently emotional. Human
conversational partners usually try to interpret–consciously or unconsciously–the speaker's …

Automatic evaluation of conversation qualities has become one of the vital points for
interactive computer systems (ICCs) of the next generation. Although current ICCs are able …

Socially interactive artificial agents are no longer mere fiction. For many, they are already
part of everyday life. Due to technical advances in multimodal behavior analysis and …

Human conversational partners usually not only focus on what is being said, but also try to
interpret and respond to affective cues that have been conveyed in a dialogue. Several …