Connecting meeting behavior with extraversion-a systematic study

Bruno Lepri, Ramanathan Subramanian, Kyriaki Kalimeri, Jacopo Staiano, Fabio Pianesi, Nicu Sebe

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)

Abstract

This work investigates the suitability of medium-grained meeting behaviors, namely, speaking time and social attention, for automatic classification of the Extraversion personality trait. Experimental results confirm that these behaviors are indeed effective for the automatic detection of Extraversion. The main findings of our study are that: 1) Speaking time and (some forms of) social gaze are effective indicators of Extraversion, 2) classification accuracy is affected by the amount of time for which meeting behavior is observed, 3) independently considering only the attention received by the target from peers is insufficient, and 4) distribution of social attention of peers plays a crucial role.

Original languageEnglish
Article number6212435
Pages (from-to)443-455
Number of pages13
JournalIEEE Transactions on Affective Computing
Volume3
Issue number4
DOIs
Publication statusPublished - 2012
Externally publishedYes

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