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Coordinating Agents: Promoting Shared Situational Awareness in Collaborative Sensemaking

Authors:

Ming-Tung Hong,

Jesse Josua Benjamin,

Claudia Müller-BirnAuthors Info & Claims

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 217 - 220

https://doi.org/10.1145/3272973.3274059

Published: 30 October 2018 Publication History

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Abstract

Recent research suggests that in visual analytics tasks, collaborative sensemaking relies on successful collaboration between humans and software agents. To advance the understanding of such collaboration, we consider that the latter possess a form of situational awareness which, when coordinated with humans, can enrich the collaborative sensemaking process. We propose a conceptual model for a coordinating agent that dynamically initiates interruptions, influenced by the analytic activities of humans. We provide possible designs for four coordinating strategies. In closing, we discuss plans for implementation, and how future studies can contribute to wider HCI and CSCW discourses.

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Cited By

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Sadeghian SUhde AHassenzahl M(2024)The Soul of Work: Evaluation of Job Meaningfulness and Accountability in Human-AI CollaborationProceedings of the ACM on Human-Computer Interaction10.1145/36374078:CSCW1(1-26)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637407
Kim SEun JOh CLee J(2024)“Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation SystemInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2307670(1-19)Online publication date: 2-Feb-2024
https://doi.org/10.1080/10447318.2024.2307670
Benk MWeibel RFeuerriegel SFerrario A(2022)"Is It My Turn?"Proceedings of the ACM on Human-Computer Interaction10.1145/35555806:CSCW2(1-23)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555580
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Index Terms

Coordinating Agents: Promoting Shared Situational Awareness in Collaborative Sensemaking
1. Computing methodologies
  1. Artificial intelligence
    1. Planning and scheduling
2. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)
    1. HCI theory, concepts and models

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Published In

CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing

October 2018

518 pages

ISBN:9781450360180

DOI:10.1145/3272973

General Chairs:
Vanessa Evers
University of Twente
,
Mor Naaman
Cornell Tech
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Karrie Karahalios
University of Illinois
,
Airi Lampinen
Stockholm University
,
Andrés Monroy-Hernández
Snap, Inc.

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2018

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Conference

CSCW '18

Sponsor:

SIGCHI

CSCW '18: Computer Supported Cooperative Work and Social Computing

November 3 - 7, 2018

NJ, Jersey City, USA

Acceptance Rates

CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

View all

Sadeghian SUhde AHassenzahl M(2024)The Soul of Work: Evaluation of Job Meaningfulness and Accountability in Human-AI CollaborationProceedings of the ACM on Human-Computer Interaction10.1145/36374078:CSCW1(1-26)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637407
Kim SEun JOh CLee J(2024)“Journey of Finding the Best Query”: Understanding the User Experience of AI Image Generation SystemInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2307670(1-19)Online publication date: 2-Feb-2024
https://doi.org/10.1080/10447318.2024.2307670
Benk MWeibel RFeuerriegel SFerrario A(2022)"Is It My Turn?"Proceedings of the ACM on Human-Computer Interaction10.1145/35555806:CSCW2(1-23)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555580
Jia SLi ZChen NZhang J(2022)Towards Visual Explainable Active Learning for Zero-Shot ClassificationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311479328:1(791-801)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TVCG.2021.3114793
Khakurel JBlomqvist K(2022)Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities and ConcernsArtificial Intelligence in HCI10.1007/978-3-031-05643-7_4(51-68)Online publication date: 26-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-05643-7_4
Zhang RMcNeese NFreeman GMusick G(2021)"An Ideal Human"Proceedings of the ACM on Human-Computer Interaction10.1145/34329454:CSCW3(1-25)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3432945
Bemus PNoran O(2021)Static vs Dynamic Architecture of Aware Cyber Physical Systems of Systems2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)10.1109/EDOCW52865.2021.00048(186-193)Online publication date: Oct-2021
https://doi.org/10.1109/EDOCW52865.2021.00048

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