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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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樓主: squamous-cell
41#
發(fā)表于 2025-3-28 16:23:31 | 只看該作者
42#
發(fā)表于 2025-3-28 18:56:48 | 只看該作者
Matias Zegers Ruíz-Tagle,Carla Meza Moralesples interacting about a problem in their relationship. We extract features from both the audio and the transcriptions and apply the Diverse Density-Support Vector Machine framework. Apart from attaining classification on the expert annotations, this framework also allows us to estimate salient regions of the complex interaction.
43#
發(fā)表于 2025-3-28 23:37:26 | 只看該作者
44#
發(fā)表于 2025-3-29 06:17:16 | 只看該作者
Using Individual Light Rigs to Control the Perception of a Virtual Character’s Personalityetups do influence the perception of the characters’ personality. We found lighting effects with regard to the perception of dominance. Moreover, we found that the personality perception of female characters seems to change more easily than for male characters.
45#
發(fā)表于 2025-3-29 08:28:26 | 只看該作者
Multiple Instance Learning for Classification of Human Behavior Observationsples interacting about a problem in their relationship. We extract features from both the audio and the transcriptions and apply the Diverse Density-Support Vector Machine framework. Apart from attaining classification on the expert annotations, this framework also allows us to estimate salient regions of the complex interaction.
46#
發(fā)表于 2025-3-29 11:47:37 | 只看該作者
Conference proceedings 2011 affect-sensitive applications, methodological issues in affective computing, affective and social robotics, affective and behavioral interfaces, relevant insights from psychology, affective databases, Evaluation and annotation tools.
47#
發(fā)表于 2025-3-29 18:08:11 | 只看該作者
https://doi.org/10.1007/978-3-8349-8414-2, and Self Assessment Manikins. Finally, we present results of two usability tests observing the ability to identify emotions in labelling and comparing the transcription tool “Folker” with our application.
48#
發(fā)表于 2025-3-29 19:56:21 | 只看該作者
Muhammet Mikdat Akbaba,Onur ?etinle sources of evidence. During a 7 day, 13 participant field study we found that recognition accuracy for physiological activation improved from 63% to 79% with two sources of evidence and in an additional pilot study this improved to 100% accuracy for one subject over 10 days when context evidence was also included.
49#
發(fā)表于 2025-3-30 03:32:51 | 只看該作者
50#
發(fā)表于 2025-3-30 06:47:25 | 只看該作者
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