short-paper

Automatic modeling of personality states in small group interactions

Authors:

Jacopo Staiano,

Ramanathan Subramanian,

Fabio PianesiAuthors Info & Claims

MM '11: Proceedings of the 19th ACM international conference on Multimedia

Pages 989 - 992

https://doi.org/10.1145/2072298.2071920

Published: 28 November 2011 Publication History

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.

References

[1]

Costa, P.T., and McCrae, R.R. Four ways why five factors are basic. Personality and Individual Differences, 13(6): 653--665, 1992.

[2]

Donnellan, M.B., Conger, R.D., and Bryant, C.M. The Big Five and enduring marriages. Journal of Research in Personality, 38: 481--504, 2004.

[3]

Fleeson, W. Towards a structure- and process-integrated view of personality: Traits as density distributions of states. Journal of Personality and Social Psychology, 80: 1011--1027, 2001.

[4]

Gosling, S. D., Rentfrow, P. J., & Swann, W. B., Jr. A Very Brief Measure of the Big Five Personality Domains. Journal of Research in Personality, 37: 504--528, 2003.

[5]

Hall J., and Watson W. The effects of a normative intervention on group decision-making performance. Human Relations, 23(4): 299--317, 1970.

[6]

Hall, M. A. Correlation-Based Feature Selection for Discrete and Numeric Class Machine Learning. Proc. 17th Int'l Conf. Machine Learning, 359--366, 2000.

Digital Library

[7]

Komarraju, M., and Karau, S. J. The relationship between the Big Five personality traits and academic motivation. Personality and Individual Differences, 39: 557--567, 2005.

[8]

Lepri, B. Subramanian, R., Kalimeri, K., Staiano, J., Pianesi, F., and Sebe, N. Employing Social Gaze and Speaking Activity for Automatic Determination of the Extraversion Trait. In Int'l Conf. on Multimodal Interfaces, 2010.

Digital Library

[9]

Mairesse F., Walker M.A., Mehl M.R., and Moore R.K. Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text. In Journal of Artificial Intelligence Research 30: 457--500, 2007.

Digital Library

[10]

Pentland, A. Honest Signals. MIT Press, 2008.

[11]

Pianesi, F., Mana, N., Cappelletti, A., Lepri, B., and Zancanaro. M. Multimodal Recognition of Personality Traits in Social Interactions. In Int'l Conf. on Multimodal Interfaces, 2008.

Digital Library

[12]

Ramirez, J., Segura, C., Benitez, C., de la Torre, A., and Rubio, A. Efficient voice activity detection algorithms using long-term speech information. Speech Communication. 42(3--4): 271--287, 2004.

[13]

Reeves, B., and Nass, C. The Media Equation. University of Chicago Press, 1996.

[14]

Sigurdsson, J.F. Computer experience, attitudes toward computers and personality characteristics in psychology undergraduates. Personality and Individual Differences, 12(6): 617--624, 1991.

[15]

Valenti, R., Sebe, N., and Gevers, T. Combining Head Pose and Eye Location Information for Gaze Estimation. In IEEE Trans. Image Processing, 2011.

Digital Library

[16]

Valenti, R., Staiano, J., Sebe, N., and Gevers, T. Webcam-based Visual Gaze Estimation. In Int'l Conference on Image Analysis and Processing, 662--671, 2009.

Digital Library

Cited By

Bader MColumbus SZettler IMayer A(2024)Developing, evaluating, and interpreting personality state measures: A framework based on the revised latent state-trait theoryEuropean Journal of Personality10.1177/08902070241246930Online publication date: 23-Apr-2024
https://doi.org/10.1177/08902070241246930
Beyan CVinciarelli ABue A(2023)Co-Located Human–Human Interaction Analysis Using Nonverbal Cues: A SurveyACM Computing Surveys10.1145/362651656:5(1-41)Online publication date: 25-Nov-2023
https://dl.acm.org/doi/10.1145/3626516
Jacques Junior JGucluturk YPerez MGuclu UAndujar CBaro XEscalante HGuyon Ivan Gerven Mvan Lier REscalera S(2022)First Impressions: A Survey on Vision-Based Apparent Personality Trait AnalysisIEEE Transactions on Affective Computing10.1109/TAFFC.2019.293005813:1(75-95)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TAFFC.2019.2930058
Show More Cited By

Index Terms

Automatic modeling of personality states in small group interactions
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
2. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Face-Based Automatic Personality Perception
MM '14: Proceedings of the 22nd ACM international conference on Multimedia

Automatic Personality Perception is the task of automatically predicting the personality traits people attribute to others. This work presents experiments where such a task is performed by mapping facial appearance into the Big-Five personality traits, ...
Going beyond traits: multimodal classification of personality states in the wild
ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction

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 ...
Towards a dynamic view of personality: multimodal classification of personality states in everyday situations
ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction

A new perspective in the automatic recognition of personality is proposed; shifting our focus from the traditional goal of using behaviors to infer about personality traits, to the classification of excerpts of social behavior into personality states. ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

MM '11: Proceedings of the 19th ACM international conference on Multimedia

November 2011

944 pages

ISBN:9781450306164

DOI:10.1145/2072298

General Chairs:
K. Selçuk Candan
Arizona State University, USA
,
Sethuraman Panchanathan
Arizona State University, USA
,
Balakrishnan Prabhakaran
University of Texas at Dallas, USA
,
Program Chairs:
Hari Sundaram
Arizona State University, USA
,
Wu-Chi Feng
Portland State University, USA
,
Nicu Sebe
University of Trento, Italy

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGMM: ACM Special Interest Group on Multimedia

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

MM '11

Sponsor:

SIGMM

MM '11: ACM Multimedia Conference

November 28 - December 1, 2011

Arizona, Scottsdale, USA

Acceptance Rates

Overall Acceptance Rate 995 of 4,171 submissions, 24%

Upcoming Conference

MM '24

Sponsor:
sigmm

The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

Melbourne , VIC , Australia

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

29
Total Citations
View Citations
347
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)0

Reflects downloads up to 16 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Bader MColumbus SZettler IMayer A(2024)Developing, evaluating, and interpreting personality state measures: A framework based on the revised latent state-trait theoryEuropean Journal of Personality10.1177/08902070241246930Online publication date: 23-Apr-2024
https://doi.org/10.1177/08902070241246930
Beyan CVinciarelli ABue A(2023)Co-Located Human–Human Interaction Analysis Using Nonverbal Cues: A SurveyACM Computing Surveys10.1145/362651656:5(1-41)Online publication date: 25-Nov-2023
https://dl.acm.org/doi/10.1145/3626516
Jacques Junior JGucluturk YPerez MGuclu UAndujar CBaro XEscalante HGuyon Ivan Gerven Mvan Lier REscalera S(2022)First Impressions: A Survey on Vision-Based Apparent Personality Trait AnalysisIEEE Transactions on Affective Computing10.1109/TAFFC.2019.293005813:1(75-95)Online publication date: 1-Jan-2022
https://doi.org/10.1109/TAFFC.2019.2930058
Beyan CZunino AShahid MMurino V(2021)Personality Traits Classification Using Deep Visual Activity-Based Nonverbal Features of Key-Dynamic ImagesIEEE Transactions on Affective Computing10.1109/TAFFC.2019.294461412:4(1084-1099)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TAFFC.2019.2944614
Lin VGirard JSayette MMorency LTruong KHeylen DCzerwinski MBerthouze NChetouani MNakano M(2020)Toward Multimodal Modeling of Emotional ExpressivenessProceedings of the 2020 International Conference on Multimodal Interaction10.1145/3382507.3418887(548-557)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3382507.3418887
Zhang LRadke R(2020)A Multi-Stream Recurrent Neural Network for Social Role Detection in Multiparty InteractionsIEEE Journal of Selected Topics in Signal Processing10.1109/JSTSP.2020.299239414:3(554-567)Online publication date: Mar-2020
https://doi.org/10.1109/JSTSP.2020.2992394
Smith KDennis MMasthoff JTintarev N(2019)A methodology for creating and validating psychological stories for conveying and measuring psychological traitsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09219-629:3(573-618)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11257-019-09219-6
Gorbova JAvots ELüsi IFishel MEscalera SAnbarjafari G(2018)Integrating Vision and Language for First-Impression Personality AnalysisIEEE MultiMedia10.1109/MMUL.2018.02312116225:2(24-33)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1109/MMUL.2018.023121162
Kindiroglu AAkarun LAran O(2017)Multi-domain and multi-task prediction of extraversion and leadership from meeting videosEURASIP Journal on Image and Video Processing10.1186/s13640-017-0224-z2017:1Online publication date: 21-Nov-2017
https://doi.org/10.1186/s13640-017-0224-z
Wenzel RVan Quaquebeke N(2017)The Double-Edged Sword of Big Data in Organizational and Management ResearchOrganizational Research Methods10.1177/109442811771862721:3(548-591)Online publication date: 12-Jul-2017
https://doi.org/10.1177/1094428117718627
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents