Affective Computing 2008
DOI: 10.5772/6176
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From Signals to Emotions: Applying Emotion Models to HM Affective Interactions

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Cited by 4 publications
(2 citation statements)
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“…Second, concerning emotion nonverbal behavior, we adopted a micro-analysis of behavioral units in multiple expressive systems (i.e., face, gaze, posture, and voice; Ciceri and Balzarotti 2008). Considering the multiplicity of emotional signals that characterize human spontaneous interactions, we expected that a wide range of nonverbal signals used to express blended emotional responses-e.g., frustration, boredom, amusement, etc.would be extremely relevant, whereas stereotyped patterns and prototypical full-face expression of few basic emotions would appear less often within our dataset (Kaiser and Wehrle 2001).…”
Section: The Present Studymentioning
confidence: 99%
“…Second, concerning emotion nonverbal behavior, we adopted a micro-analysis of behavioral units in multiple expressive systems (i.e., face, gaze, posture, and voice; Ciceri and Balzarotti 2008). Considering the multiplicity of emotional signals that characterize human spontaneous interactions, we expected that a wide range of nonverbal signals used to express blended emotional responses-e.g., frustration, boredom, amusement, etc.would be extremely relevant, whereas stereotyped patterns and prototypical full-face expression of few basic emotions would appear less often within our dataset (Kaiser and Wehrle 2001).…”
Section: The Present Studymentioning
confidence: 99%
“…Several of them concentrates on stress evaluation and training when using virtual environments for military purposes and curing post-traumatic stress disorder [15]. Other focuse on neuro-marketing [11], [12], adaptive virtual mediator services [14], social networks [22], and learning applications [1], [4].…”
Section: Introductionmentioning
confidence: 99%