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Titlebook: Affective Computing and Intelligent Interaction; Fourth International Sidney D’Mello,Arthur Graesser,Jean-Claude Martin Conference proceedi

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楼主: 贪求
发表于 2025-3-26 23:27:45 | 显示全部楼层
The Machine Knows What You Are Hiding: An Automatic Micro-expression Recognition System the performance of trained human subjects. To further improve the performance, a more representative training set, a more sophisticated testing bed, and an accurate image alignment method should be focused in future research.
发表于 2025-3-27 03:17:02 | 显示全部楼层
Context-Sensitive Affect Sensing and Metaphor Identification in Virtual Dramaion results for the new developments are provided. Our work benefits systems with intention to employ emotions embedded in the scenarios/characters and open-ended input for visual representation without detracting users from learning situations.
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Investigating Acoustic Cues in Automatic Detection of Learners’ Emotion from Auto Tutorthe classification performance obtained using acoustic cues and conversational cues shows that the emotions: flow and boredom are better captured in acoustics than conversational cues while conversational cues play a more important role in multiple-emotion classification.
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Lutgart Berghe,Christoph Elst,Abigail Levrauctor’s confession of a behavior with doubtful morality, during which the actor either blushed or not. In the second study, we examine people’s responses when confronted with a moral dilemma in a Virtual Environment.
发表于 2025-3-28 01:43:38 | 显示全部楼层
发表于 2025-3-28 02:53:51 | 显示全部楼层
Lutgart Berghe,Christoph Elst,Abigail Levrau assumes that emotion is what people are saying to feel, and seems more likely..We propose a novel method, which extends the mentioned ones by looking for the physiological measurement mostly correlated to the self-report due to emotion, not the stimulus. This guarantees to find a measure best related to subject’s affective state.
发表于 2025-3-28 09:59:30 | 显示全部楼层
Rouven Trapp,Klaus Berding,Andreas Hoffjan the performance of trained human subjects. To further improve the performance, a more representative training set, a more sophisticated testing bed, and an accurate image alignment method should be focused in future research.
发表于 2025-3-28 13:51:13 | 显示全部楼层
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