DocumentCode
2776817
Title
Contextual Modeling of Personality States´ Dynamics in Face-to-Face Interactions
Author
Staiano, Jacopo ; Lepri, Bruno ; Kalimeri, Kyriaki ; Sebe, Nicu ; Pianesi, Fabio
Author_Institution
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
fYear
2011
fDate
9-11 Oct. 2011
Firstpage
896
Lastpage
899
Abstract
In this paper, we investigate the effectiveness of several dynamic graphical models for the task of personality states classification in a meeting scenario. Personality states are defined in social psychology literature as specific behavioral episodes in which a given subject exposes behaviors connected to a certain personality trait. The personality states we are addressing are those corresponding to the Big Five traits.
Keywords
graph theory; psychology; Big Five traits; contextual modeling; dynamic graphical models; face-to-face interactions; meeting scenario; personality states classification; personality states dynamics; personality trait; social psychology literature; specific behavioral episodes; Correlation; Entropy; Feature extraction; Graphical models; Hidden Markov models; Psychology; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4577-1931-8
Type
conf
DOI
10.1109/PASSAT/SocialCom.2011.28
Filename
6113237
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