Titlebook: Affect and Emotion in Human-Computer Interaction; From Theory to Appli Christian Peter,Russell Beale Book 2008 Springer-Verlag Berlin Heide

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通便

挑剔小責(zé)

https://doi.org/10.1057/9780230508286emotion. Statistical analyses were conducted for films and for self-assessed emotional state and in addition, supervised machine learning technique was utilized. Recognition rates reached up to 72% for a specific emotion (one out of five) and up to 82% for an underlying dimension (one out of two).

Armada

Common Failures in the Governance Processmultimodal data resulted in a large increase in the recognition rates in comparison with the unimodal systems: the multimodal approach gave an improvement of more than 10% when compared to the most successful unimodal system. Further, the fusion performed at the feature level provided better results than the one performed at the decision level.

命令變成大炮

集聚成團(tuán)

Finance and Capital Markets Seriesectly to the device itself and influenced by contextual factors, we discovered that certain controllable aspects of interactive products showed clear patterns of emotion in the responses of our participants. We discuss our findings and provide implications for the design of emotional experiences in interactive devices.

mitten

Corporate Governance und Familienunternehmencognition capabilities. The dog can recognise the emotional state of it’s owner from affective cues in the owner’s speech and respond with appropriate actions. The evaluation study shows that users can recognise the new robotic dog to be emotionally intelligent and report that this makes the dog appear more ‘a(chǎn)live’.

內(nèi)閣

0302-9743 out us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or humans via technology, we suddenly become more aware of emotion, either by seeing the other’s emotional expression, or by not getting an emotional response while anticipating one. ...Give

新奇

Risto Laulajainen,Howard A. Staffordion to the emphasis put on ., on . and . in human computer interaction for so long. We discuss how this dichotomy is not in itself very fruitful in changing human-computer interaction. We offer this article as a voice in an ongoing discussion about where we are heading, and which directions this discussion could take.

CRUDE

Risto Laulajainen,Howard A. Staffordlustrates recent work with two projects that developed software research tools. The first builds on the semantic differential to measure an individual’s self-esteem across several dimensions, and the second assesses the subject’s reactions to 2,000 common events in terms of 20 emotions.