More Web Proxy on the site http://driver.im/

poster

Identifying emergent leadership in small groups using nonverbal communicative cues

Authors:

Dairazalia Sanchez-Cortes,

Marianne Schmid Mast,

Daniel Gatica-PerezAuthors Info & Claims

ICMI-MLMI '10: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction

Article No.: 39, Pages 1 - 4

https://doi.org/10.1145/1891903.1891953

Published: 08 November 2010 Publication History

Abstract

This paper addresses firstly an analysis on how an emergent leader is perceived in newly formed small-groups, and secondly, explore correlations between perception of leadership and automatically extracted nonverbal communicative cues. We hypothesize that the difference in individual nonverbal features between emergent leaders and non-emergent leaders is significant and measurable using speech activity. Our results on a new interaction corpus show that such an approach is promising, identifying the emergent leader with an accuracy of up to 80%.

References

[1]

http://www.dev-audio.com/.

[2]

C. Anderson and G. J. Kilduff. Why do dominant personalities attain influence in face-to-face groups? the competence- signaling effects of trait dominance. Journal of Personality and Social Psychology, 96(2):491--503, 2009.

[3]

O. Aran and D. Gatica-Perez. Fusing audio visual nonverbal cues to detect dominance in small group conversations. In ICPR, Aug 2010.

Digital Library

[4]

S. Basu and et al. Towards measuring human interactions in conversational settings. In IEEE CVPR-CUES, Dec 2001.

[5]

D. Gatica-Perez. Automatic nonverbal analysis of social interaction in small groups: a review. Image and Vision Computing, 1(12), Dec 2009.

Digital Library

[6]

L. D. Goodstein and R. I. Lanyon. Applications of personality assessment to the workplace: a review. Journal of Business and Psychology, 13(3), 1999.

[7]

D. Jayagopi, B. Raducanu, and D. Gatica-Perez. Characterizing conversational group dynamics using nonverbal behavior. In ICME, Jun 2009.

Digital Library

[8]

A. K. Kalma, L. Visser, and A. Peeters. Sociable and aggressive dominance: Personality differences in leadership style? Leadership Quarterly, 4(1):45--64, 1993.

[9]

J. Kickul and G. Neuman. Emergent leadership behaviours: The function of personality and cognitive ability in determining teamwork performance and ksas. Journal of Business and Psychology, 15(1), 2000.

[10]

M. S. Mast. Dominance as expressed and inferred through speaking time: A meta-analysis. Human Communication research, 28(3):420--450, 2002.

[11]

F. Pianesi, N. Mana, and A. Cappelletti. Multimodal recognition of personality traits in social interactions. In ICMI, Oct 2008.

Digital Library

[12]

B. Raducanu and D. Gatica-Perez. You are fired! nonverbal role analysis in competitive meetings. In ICASSP, Apr 2009.

Digital Library

[13]

R. T. Stein. Identifying emergent leaders from verbal and nonverbal communications. Personality and Social Psychology, 32(1):125--135, 1975.

Cited By

Gillet SVázquez MAndrist SLeite ISebo S(2024)Interaction-Shaping Robotics: Robots That Influence Interactions between Other AgentsACM Transactions on Human-Robot Interaction10.1145/364380313:1(1-23)Online publication date: 2-Feb-2024
https://dl.acm.org/doi/10.1145/3643803
Tabassum MRaziq MAllen MSarwar NGolra O(2024)Exploring emergent leadership in agile teams: network dynamics, roles and skills at the individual levelBusiness Process Management Journal10.1108/BPMJ-02-2024-0110Online publication date: 10-Jun-2024
https://doi.org/10.1108/BPMJ-02-2024-0110
D’Mello SDuran NMichaels AStewart A(2024)Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0User Modeling and User-Adapted Interaction10.1007/s11257-023-09387-634:4(1087-1125)Online publication date: 14-Feb-2024
https://doi.org/10.1007/s11257-023-09387-6
Show More Cited By

Index Terms

Identifying emergent leadership in small groups using nonverbal communicative cues
1. Information systems
  1. Information retrieval
    1. Document representation

Recommendations

Detecting emergent leader in a meeting environment using nonverbal visual features only
ICMI '16: Proceedings of the 18th ACM International Conference on Multimodal Interaction

In this paper, we propose an effective method for emergent leader detection in meeting environments which is based on nonverbal visual features. Identifying emergent leader is an important issue for organizations. It is also a well-investigated topic ...
A First Step Towards Considering Nonverbal Communicative Cues in Dialog Systems
PETRA '24: Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments

Currently, spoken dialogue systems mostly consider only voice interactions and do not consider nonverbal cues. This work aims to explore the domain of interaction with conversational assistants, taking into account not only verbal cues, but also the ...
Predicting remote versus collocated group interactions using nonverbal cues
ICMI-MLMI '09: Proceedings of the ICMI-MLMI '09 Workshop on Multimodal Sensor-Based Systems and Mobile Phones for Social Computing

This paper addresses two problems: Firstly, the problem of classifying remote and collocated small-group working meetings, and secondly, the problem of identifying the remote participant, using in both cases nonverbal behavioral cues. Such classifiers ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

ICMI-MLMI '10: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction

November 2010

311 pages

ISBN:9781450304146

DOI:10.1145/1891903

General Chairs:
Wen Gao
PKU, China
,
Chin-Hui Lee
Georgia Tech
,
Jie Yang
Carnegie Mellon
,
Program Chairs:
Xilin Chen
ICT, CAS, China
,
Maxine Eskenazi
Carnegie Mellon
,
Zhengyou Zhang
MSR

Copyright © 2010 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

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 November 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

ICMI-MLMI '10

Sponsor:

SIGCHI

ICMI-MLMI '10: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERFACES/WORKSHOP ON MACHINE LEARNING FOR MULTIMODAL INTERFACES

November 8 - 10, 2010

Beijing, China

Acceptance Rates

ICMI-MLMI '10 Paper Acceptance Rate 41 of 100 submissions, 41%;

Overall Acceptance Rate 453 of 1,080 submissions, 42%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

36
Total Citations
View Citations
576
Total Downloads

Downloads (Last 12 months)12
Downloads (Last 6 weeks)1

Reflects downloads up to 31 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Gillet SVázquez MAndrist SLeite ISebo S(2024)Interaction-Shaping Robotics: Robots That Influence Interactions between Other AgentsACM Transactions on Human-Robot Interaction10.1145/364380313:1(1-23)Online publication date: 2-Feb-2024
https://dl.acm.org/doi/10.1145/3643803
Tabassum MRaziq MAllen MSarwar NGolra O(2024)Exploring emergent leadership in agile teams: network dynamics, roles and skills at the individual levelBusiness Process Management Journal10.1108/BPMJ-02-2024-0110Online publication date: 10-Jun-2024
https://doi.org/10.1108/BPMJ-02-2024-0110
D’Mello SDuran NMichaels AStewart A(2024)Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0User Modeling and User-Adapted Interaction10.1007/s11257-023-09387-634:4(1087-1125)Online publication date: 14-Feb-2024
https://doi.org/10.1007/s11257-023-09387-6
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
Biancardi BMancini MRavenet BVarni G(2023)Modelling the “transactive memory system” in multimodal multiparty interactionsJournal on Multimodal User Interfaces10.1007/s12193-023-00426-518:1(103-117)Online publication date: 11-Nov-2023
https://doi.org/10.1007/s12193-023-00426-5
O’Bryan LOxendahl TChen XMcDuff DSegarra SWettergreen MBeier MSabharwal A(2022)Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual TeamsHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1177/0018720822114734166:5(1414-1430)Online publication date: 22-Dec-2022
https://doi.org/10.1177/00187208221147341
Hayama TYokoyama S(2022)Personality Traits Estimation of Participants Based on Multimodal Information in Knowledge-Transfer-type Discussion2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAIAAI55812.2022.00014(19-24)Online publication date: Jul-2022
https://doi.org/10.1109/IIAIAAI55812.2022.00014
Dresvyanskiy DSinha YBusch MSiegert IKarpov AMinker W(2022)DyCoDa: A Multi-modal Data Collection of Multi-user Remote Survival Game RecordingsSpeech and Computer10.1007/978-3-031-20980-2_15(163-177)Online publication date: 10-Nov-2022
https://doi.org/10.1007/978-3-031-20980-2_15
Kantharaju RPelachaud C(2021)Social Signals of Cohesion in Multi-party InteractionsProceedings of the 21st ACM International Conference on Intelligent Virtual Agents10.1145/3472306.3478362(9-16)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3472306.3478362
Sabry SMaman LVarni G(2021)An Exploratory Computational Study on the Effect of Emergent Leadership on Social and Task CohesionCompanion Publication of the 2021 International Conference on Multimodal Interaction10.1145/3461615.3485415(263-272)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3461615.3485415
Show More Cited By

View Options

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