research-article

CoCo: Collaboration Coach for Understanding Team Dynamics during Video Conferencing

Authors:

Samiha Samrose,

Mohammad Rafayet Ali,

Mohammed Ehsan HoqueAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4

Article No.: 160, Pages 1 - 24

https://doi.org/10.1145/3161186

Published: 08 January 2018 Publication History

Abstract

We present and discuss a fully-automated collaboration system, CoCo, that allows multiple participants to video chat and receive feedback through custom video conferencing software. After a conferencing session, a virtual feedback assistant provides insights on the conversation to participants. CoCo automatically pulls audial and visual data during conversations and analyzes the extracted streams for affective features, including smiles, engagement, attention, as well as speech overlap and turn-taking. We validated CoCo with 39 participants split into 10 groups. Participants played two back-to-back team-building games, Lost at Sea and Survival on the Moon, with the system providing feedback between the two. With feedback, we found a statistically significant change in balanced participation---that is, everyone spoke for an equal amount of time. There was also statistically significant improvement in participants' self-evaluations of conversational skills awareness, including how often they let others speak, as well as of teammates' conversational skills. The entire framework is available at https://github.com/ROC-HCI/CollaborationCoach_PostFeedback.

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Cited By

Park GPanda PTankelevitch LRintel S(2024)The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video MeetingsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661507(1638-1657)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661507
Liu JYao YAn PWang Q(2024)PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative LearningExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651008(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651008
Park GPanda PTankelevitch LRintel S(2024)CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video MeetingsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650797(1-10)Online publication date: 11-May-2024
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Index Terms

CoCo: Collaboration Coach for Understanding Team Dynamics during Video Conferencing
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing design and evaluation methods

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 4

December 2017

1298 pages

EISSN:2474-9567

DOI:10.1145/3178157

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Copyright © 2018 ACM.

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Publication History

Published: 08 January 2018

Accepted: 01 October 2017

Revised: 01 August 2017

Received: 01 May 2017

Published in IMWUT Volume 1, Issue 4

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https://dl.acm.org/doi/10.1145/3643834.3661507
Liu JYao YAn PWang Q(2024)PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative LearningExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651008(1-6)Online publication date: 11-May-2024
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Park GPanda PTankelevitch LRintel S(2024)CoExplorer: Generative AI Powered 2D and 3D Adaptive Interfaces to Support Intentionality in Video MeetingsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650797(1-10)Online publication date: 11-May-2024
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