Spotting prejudice with nonverbal behaviours
Abstract: Despite prejudice cannot be directly observed, nonverbal behaviours provide profound hints on people inclinations. In this paper, we use recent sensing technologies and machine learning techniques to automatically infer the results of psychological questionnaires frequently used to assess implicit prejudice. In particular, we recorded 32 students discussing with both white and black collaborators. Then, we identi?ed a set of features allowing automatic extraction and measured their degree of correlation with psychological scores. Results con?rmed that automated analysis of nonverbal behaviour is actually possible thus paving the way for innovative clinical tools and eventually more secure societies.
Citation:
Palazzi, Andrea; Calderara, Simone; Bicocchi, Nicola; Vezzali, Loris; DI BERNARDO, GIAN ANTONIO; Zambonelli, Franco; Cucchiara, Rita "Spotting prejudice with nonverbal behaviours" Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016, Heidelberg, Germany, pp. 853 -862 , 12-16 September 2016, 2016 DOI: 10.1145/2971648.2971703
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- DOI: 10.1145/2971648.2971703