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

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How Low Level Observations Can Help to Reveal the User’s State in HCIeven for human annotators – only indirectly inferable using background information and the observation of the interaction’s progression as well as the social signals produced by the interlocutors. In this paper, coincidences of directly observable patterns and different user states are examined in o

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Investigating Acoustic Cues in Automatic Detection of Learners’ Emotion from Auto Tutoro Tutor. The purpose of this study is to examine the acoustic cues for emotion detection of the speech channel from the learning system, and to compare the emotion-discriminant performance of acoustic cues (in this study) with the conversational cues (available in previous work). Comparison between

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A Regression Approach to Affective Rating of Chinese Words from ANEWdies were rated with a large number of participants, making it difficult to apply to different languages. Moreover, difference in culture across different ethnic groups makes the language/culture-specific affective norms not directly translatable to the applications using different languages. To ove

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