Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Multimodal recognition of personality traits in social interactions
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Webcam-Based Visual Gaze Estimation
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
Employing social gaze and speaking activity for automatic determination of the Extraversion trait
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Combining Head Pose and Eye Location Information for Gaze Estimation
IEEE Transactions on Image Processing
One of a kind: inferring personality impressions in meetings
Proceedings of the 15th ACM on International conference on multimodal interaction
Proceedings of the 15th ACM on International conference on multimodal interaction
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In this paper, we target the automatic recognition of personality states in a meeting scenario employing visual and acoustic features. The social psychology literature has coined the name personality state to refer to a specific behavioral episode wherein a person behaves as more or less introvert/extrovert, neurotic or open to experience, etc. Personality traits can then be reconstructed as density distributions over personality states. Different machine learning approaches were used to test the effectiveness of the selected features in modeling the dynamics of personality states.