abstract

Group Interaction Frontiers in Technology

Authors:

Gabriel Murray,

Nale Lehmann-Willenbrock,

Catharine OertelAuthors Info & Claims

ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal Interaction

Pages 660 - 662

https://doi.org/10.1145/3242969.3272960

Published: 02 October 2018 Publication History

Abstract

Analysis of group interaction and team dynamics is an important topic in a wide variety of fields, owing to the amount of time that individuals typically spend in small groups for both professional and personal purposes, and given how crucial group cohesion and productivity are to the success of businesses and other organizations. This fact is attested by the rapid growth of fields such as People Analytics and Human Resource Analytics, which in turn have grown out of many decades of research in social psychology, organizational behaviour, computing, and network science, amongst other fields. The goal of this workshop is to bring together researchers from diverse fields related to group interaction, team dynamics, people analytics, multi-modal speech and language processing, social psychology, and organizational behaviour.

References

[1]

Xavier Alameda-Pineda, Yan Yan, Elisa Ricci, Oswald Lanz, and Nicu Sebe. 2015. Analyzing free-standing conversational groups: A multimodal approach. In Proceedings of the 23rd ACM international conference on Multimedia. ACM, 5--14.

Digital Library

[2]

Glen Anderson, Selvakumar Paneer, Carl Marshall, Ankur Agrawal, Rebecca Chierichetti, Giuseppe Raffa, John Sherry, Daria Loi, and Lenitra Durham. 2018. Kid Space: Interactive Learning in a Smart Environment. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[3]

Oana Andrei and Gabriel Murray. 2018. Interpreting Models of Social Group Interactions in Meetings with Probabilistic Model Checking. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[4]

McKenzie Braley and Gabriel Murray. 2018. The Group Affect and Performance (GAP) Corpus. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[5]

Jean Carletta. 2007. Unleashing the killer corpus: experiences in creating the multi-everything AMI Meeting Corpus. Language Resources and Evaluation 41 (2007), 181--190.

[6]

Mehmet Celepkolu and Kristy Elizabeth Boyer. 2018. Predicting Student Performance Based on Eye Gaze During Collaborative Problem Solving. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[7]

Jesse Hoey, Meiyappan Nagappan, Tobias Schroeder, Jonathan Morgan, and Kimberly Rogers. 2018. Affective Dynamics and Control in Group Processes. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[8]

Hung-Hsuan Huang, Qi Zhang, Shogo Okada, Kazuhiro Kuwabara, and Toyoaki Nishida. 2018. Adopting Functional Roles for Improving Participants Communication Skill in Group Discussion Conversation. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[9]

Nale Lehmann-Willenbrock, Hayley Hung, and Joann Keyton. 2017. New Frontiers in Analyzing Dynamic Group Interactions: Bridging Social and Computer Science. Small Group Research 48, 5 (2017), 519--531.

[10]

Chreston Miller. 2018. Using Parallel Episodes of Speech to Represent and Identify Interaction Dynamics for Group Meetings. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[11]

Gabriel Murray and Catherine Lai. 2018. Multimodal Analysis of Group Attitudes Towards Meeting Management. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[12]

Fumio Nihei, Yukiko Nakano, and Yutaka Takase. 2018. Fusing Verbal and Nonverbal Information for Extractive Meeting Summarization. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[13]

Debprakash Patnaik, P. S. Sastry, and K. P. Unnikrishnan. 2008. Inferring Neuronal Network Connectivity from Spike Data: A Temporal Data Mining Approach. Sci. Program. 16, 1 (Jan. 2008), 49--77.

Digital Library

[14]

Stephanie Tan and Hayley Hung. 2018. Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting. In Proceedings of Group Interaction Frontiers in Technology (GIFT 2018). ACM.

Digital Library

[15]

Britta Wrede and Elizabeth Shriberg. 2003. Spotting "hot spots" in meetings: human judgments and prosodic cues. In INTERSPEECH.

Cited By

Allen JHung HKeyton JMurray GOertel CVarni G(2021)Insights on Group and Team DynamicsProceedings of the 2021 International Conference on Multimodal Interaction10.1145/3462244.3480976(855-856)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3462244.3480976
Hung HMurray GVarni GLehmann-Willenbrock NGerpott FOertel CTruong KHeylen DCzerwinski MBerthouze NChetouani MNakano M(2020)Workshop on Interdisciplinary Insights into Group and Team DynamicsProceedings of the 2020 International Conference on Multimodal Interaction10.1145/3382507.3419748(876-877)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3382507.3419748
Bhattacharya IFoley MKu CZhang NZhang TMine CLi MJi HRiedl CWelles BRadke RZink MToni LBegen A(2019)The unobtrusive group interaction (UGI) corpusProceedings of the 10th ACM Multimedia Systems Conference10.1145/3304109.3325816(249-254)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3304109.3325816
Show More Cited By

Index Terms

Group Interaction Frontiers in Technology

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Information & Contributors

Information

Published In

cover image ACM Other conferences

ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal Interaction

October 2018

687 pages

ISBN:9781450356923

DOI:10.1145/3242969

General Chairs:
Sidney K. D'Mello
University of Illinois, USA
,
Panayiotis (Panos) Georgiou
University of Southern California, USA
,
Stefan Scherer
University of Southern California, USA
,
Program Chairs:
Emily Mower Provost
University of Michigan, USA
,
Mohammad Soleymani
University of Southern California, USA
,
Marcelo Worsley
Northwestern University, USA

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGCHI: Specialist Interest Group in Computer-Human Interaction of the ACM

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2018

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Abstract

Conference

ICMI '18

Sponsor:

SIGCHI

ICMI '18: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

October 16 - 20, 2018

CO, Boulder, USA

Acceptance Rates

ICMI '18 Paper Acceptance Rate 63 of 149 submissions, 42%;

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

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Cited By

Allen JHung HKeyton JMurray GOertel CVarni G(2021)Insights on Group and Team DynamicsProceedings of the 2021 International Conference on Multimodal Interaction10.1145/3462244.3480976(855-856)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3462244.3480976
Hung HMurray GVarni GLehmann-Willenbrock NGerpott FOertel CTruong KHeylen DCzerwinski MBerthouze NChetouani MNakano M(2020)Workshop on Interdisciplinary Insights into Group and Team DynamicsProceedings of the 2020 International Conference on Multimodal Interaction10.1145/3382507.3419748(876-877)Online publication date: 21-Oct-2020
https://dl.acm.org/doi/10.1145/3382507.3419748
Bhattacharya IFoley MKu CZhang NZhang TMine CLi MJi HRiedl CWelles BRadke RZink MToni LBegen A(2019)The unobtrusive group interaction (UGI) corpusProceedings of the 10th ACM Multimedia Systems Conference10.1145/3304109.3325816(249-254)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3304109.3325816
Lai CMurray G(2018)Predicting group satisfaction in meeting discussionsProceedings of the Workshop on Modeling Cognitive Processes from Multimodal Data10.1145/3279810.3279840(1-8)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3279810.3279840

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