Automatic modeling of personality states in small group interactions

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

Research output: A Conference proceeding or a Chapter in BookOther chapter contributionpeer-review

25 Citations (Scopus)

Abstract

In this paper, we target the automatic recognition of personality states in a meeting scenario employing visual and acoustic features. The social psychology literature has coined the name personality state to refer to a specific behavioral episode wherein a person behaves as more or less introvert/extrovert, neurotic or open to experience, etc. Personality traits can then be reconstructed as density distributions over personality states. Different machine learning approaches were used to test the effectiveness of the selected features in modeling the dynamics of personality states.

Original languageEnglish
Title of host publicationMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
EditorsK. Selçuk Candan, Sethuraman Panchanathan, Balakrishnan Prabhakaran, Hari Sundaram, Wu-Chi Feng, Nicu Sebe
Place of PublicationUnited States
PublisherAssociation for Computing Machinery (ACM)
Pages989-992
Number of pages4
ISBN (Print)9781450306164
DOIs
Publication statusPublished - 28 Nov 2011
Externally publishedYes
Event19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 - Scottsdale, AZ, United States
Duration: 28 Nov 20111 Dec 2011

Publication series

NameMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Conference

Conference19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
Country/TerritoryUnited States
CityScottsdale, AZ
Period28/11/111/12/11

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