Floating search methods in feature selection
Pattern Recognition Letters
The media equation: how people treat computers, television, and new media like real people and places
Feature Selection: Evaluation, Application, and Small Sample Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inferring user goals from personality and behavior in a causal model of user affect
Proceedings of the 8th international conference on Intelligent user interfaces
User Modeling and User-Adapted Interaction
Multimodal recognition of personality traits in social interactions
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Causal-modelling of personality traits: extraversion and locus of control
Proceedings of the 2nd international workshop on Social signal processing
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Please, tell me about yourself: automatic personality assessment using short self-presentations
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Multimodal recognition of personality during short self-presentations
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Mining large-scale smartphone data for personality studies
Personal and Ubiquitous Computing
Predicting personality using novel mobile phone-based metrics
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Connecting Meeting Behavior with Extraversion—A Systematic Study
IEEE Transactions on Affective Computing
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Recent studies in social and personality psychology introduced the notion of personality states conceived as concrete behaviors that can be described as having the same contents as traits. Our paper is a first step towards addressing automatically this new perspective. In particular, we will focus on the classification of excerpts of social behavior into personality states corresponding to the Big Five traits, rather than focusing on the more traditional goal of using those behaviors to directly infer about the personality traits of the person producing them. The multimodal behavioral cues we exploit were obtained by means of the Sociometric Badges worn by people working at a research institution for a period of six weeks. We investigate the effectiveness of cues concerning acted social behaviors as well as of other situational characteristics for the sake of personality state classification. The encouraging results show that our classifiers always, and sometimes greatly, improve the performances of a random baseline classifier (from 1.5 to 1.8 better than chance). At a general level, we believe that these results support the proposed shift from the classification of personality traits to the classification of personality states.