research-article

Meeting mediator: enhancing group collaboration with sociometric feedback

Authors:

Taemie Kim,

Agnes Chang,

Lindsey Holland,

Alex (Sandy) PentlandAuthors Info & Claims

CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

Pages 3183 - 3188

https://doi.org/10.1145/1358628.1358828

Published: 05 April 2008 Publication History

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Abstract

In this paper we present the Meeting Mediator (MM), a real-time, personal, and portable system providing feedback to enhance group collaboration. Social interactions are captured using Sociometric badges [6] and are visualized on mobile phones to promote change in behavior. In a study on brainstorming and problem-solving meetings, MM had a significant effect on overlapping speaking time and interactivity level without distracting the subjects. Our system encourages effective group dynamics that may lead to higher performance and satisfaction. We envision MM to be deployed in real-world organizations to improve interactions across various group collaboration contexts.

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Cited By

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McVeigh-Schultz JMárquez Segura EIsbister K(2024)Designing our Weird Social XR Future: Tactics to support hybrid ways of embodied knowingProceedings of the Halfway to the Future Symposium10.1145/3686169.3686199(1-11)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3686169.3686199
Constantinides MQuercia D(2022)The Future of Hybrid MeetingsProceedings of the 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3533406.3533415(1-6)Online publication date: 8-Jun-2022
https://dl.acm.org/doi/10.1145/3533406.3533415
Peng SAmakasu THorii H(2022)Teamwork Visualization for Team Reflection Based on Changes in Communication PatternsJournal of Industrial Integration and Management10.1142/S242486222250011709:03(419-436)Online publication date: 25-Oct-2022
https://doi.org/10.1142/S2424862222500117
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Index Terms

Meeting mediator: enhancing group collaboration with sociometric feedback
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Information & Contributors

Information

Published In

CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

April 2008

2035 pages

ISBN:9781605580128

DOI:10.1145/1358628

General Chairs:
Mary Czerwinski
Microsoft Research, USA
,
Arnie Lund
Microsoft, USA
,
Program Chair:
Desney Tan
Microsoft Research, USA

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]

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Association for Computing Machinery

New York, NY, United States

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Published: 05 April 2008

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CHI '08

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CHI '08: CHI Conference on Human Factors in Computing Systems

April 5 - 10, 2008

Florence, Italy

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

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McVeigh-Schultz JMárquez Segura EIsbister K(2024)Designing our Weird Social XR Future: Tactics to support hybrid ways of embodied knowingProceedings of the Halfway to the Future Symposium10.1145/3686169.3686199(1-11)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3686169.3686199
Constantinides MQuercia D(2022)The Future of Hybrid MeetingsProceedings of the 1st Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3533406.3533415(1-6)Online publication date: 8-Jun-2022
https://dl.acm.org/doi/10.1145/3533406.3533415
Peng SAmakasu THorii H(2022)Teamwork Visualization for Team Reflection Based on Changes in Communication PatternsJournal of Industrial Integration and Management10.1142/S242486222250011709:03(419-436)Online publication date: 25-Oct-2022
https://doi.org/10.1142/S2424862222500117
Praharaj SScheffel MDrachsler HSpecht M(2021)Literature Review on Co-Located Collaboration Modeling Using Multimodal Learning Analytics—Can We Go the Whole Nine Yards?IEEE Transactions on Learning Technologies10.1109/TLT.2021.309776614:3(367-385)Online publication date: 1-Jun-2021
https://doi.org/10.1109/TLT.2021.3097766
Davila-Montero SDana-Le JBente GHall AMason A(2021)Review and Challenges of Technologies for Real-Time Human Behavior MonitoringIEEE Transactions on Biomedical Circuits and Systems10.1109/TBCAS.2021.306061715:1(2-28)Online publication date: Feb-2021
https://doi.org/10.1109/TBCAS.2021.3060617
McVeigh-Schultz JIsbister K(2021)A “beyond being there” for VR meetings: envisioning the future of remote workHuman–Computer Interaction10.1080/07370024.2021.199486037:5(433-453)Online publication date: 14-Dec-2021
https://doi.org/10.1080/07370024.2021.1994860
Porter BGrippa F(2020)A Platform for AI-Enabled Real-Time Feedback to Promote Digital CollaborationSustainability10.3390/su12241024312:24(10243)Online publication date: 8-Dec-2020
https://doi.org/10.3390/su122410243
Kerrissey MSatterstrom PEdmondson A(2020)Into the fray: Adaptive approaches to studying novel teamwork formsOrganizational Psychology Review10.1177/204138662091283310:2(62-86)Online publication date: 24-Mar-2020
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Jo EBang HRyu MSung ELeem SHong H(2020)MAMAS: Supporting Parent--Child Mealtime Interactions Using Automated Tracking and Speech RecognitionProceedings of the ACM on Human-Computer Interaction10.1145/33928764:CSCW1(1-32)Online publication date: 29-May-2020
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Adriel Aseniero BConstantinides MJoglekar SZhou KQuercia D(2020)MeetCues: Supporting Online Meetings Experience2020 IEEE Visualization Conference (VIS)10.1109/VIS47514.2020.00054(236-240)Online publication date: Oct-2020
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Meeting mediator: enhancing group collaborationusing sociometric feedback

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