@inproceedings{cac55c736c24453f8c169cc5a536beb3,
title = "Employing social gaze and speaking activity for automatic determination of the Extraversion trait",
abstract = "In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group members and attention received from them. The results of our work confirm many of our hypotheses: a) speaking time and (some forms of) social gaze are effective in automatically predicting Extraversion; b) classification accuracy is affected by the size of the time slices used for analysis, and c) to a large extent, the consideration of the social context does not add much to accuracy prediction, with an important exception concerning social gaze.",
keywords = "personality prediction, speaking activity, support vector machines, visual social gaze",
author = "Bruno Lepri and Ramanathan Subramanian and Kyriaki Kalimeri and Jacopo Staiano and Fabio Pianesi and Nicu Sebe",
year = "2010",
month = nov,
day = "8",
doi = "10.1145/1891903.1891913",
language = "English",
isbn = "9781450304146",
series = "International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, ICMI-MLMI 2010",
publisher = "Association for Computing Machinery (ACM)",
pages = "1–8",
editor = "Wen Gao and Chin-Hui Lee and Jie Yang and Xilin Chen and Maxine Eskenazi and Zhengyou Zhang",
booktitle = "International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, ICMI-MLMI 2010",
address = "United States",
note = "1st International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, ICMI-MLMI 2010 ; Conference date: 08-11-2010 Through 10-11-2010",
}