research-article

Real-Time Interruption Management System for Efficient Distributed Collaboration in Multi-tasking Environments

Authors:

Ashutosh Shivakumar,

Aishwarya Bositty,

Yong PeiAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW1

Article No.: 39, Pages 1 - 23

https://doi.org/10.1145/3392844

Published: 29 May 2020 Publication History

Abstract

Interruption dissemination in proactive systems remains a challenge for efficient human-machine collaboration, especially in real-time distributed collaborative environments. In this paper a real-time interruption management system (IMS) is proposed that leverages speech information, the most commonly used and available means of communication within collaborative distributed environments. The key aspect of this paper includes a proposed real-time IMS system that leverages lexical affirmation cues to infer the end of a task or task boundary as a candidate interruption time. The performance results show the proposed real-time lexical Affirmation Cues based Interruption Management System (ACE-IMS) outperforms the current baseline real-time IMS system within the existing literature. ACE-IMS has the potential of reducing disruptive interruptions without incurring excessive missed opportunities to disseminate interruptions by utilizing only the most frequently used mode of human communication: voice. Thereby, providing a promising new baseline to further the system development of real-time interruption management systems within the ever-growing distributed collaborative domain.

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Cited By

Bahnsen KTiemann LPlabst LGrundgeiger T(2024)Augmented Reality Cues Facilitate Task Resumption after Interruptions in Computer-Based and Physical TasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642666(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642666
Sagar MHenderson ATakac MMorrison SKnott AMoser AYeh WPages NJawed K(2022)Deconstructing and reconstructing turn-taking in caregiver-infant interactions: a platform for embodied models of early cooperationJournal of the Royal Society of New Zealand10.1080/03036758.2022.209878153:1(148-168)Online publication date: 18-Jul-2022
https://doi.org/10.1080/03036758.2022.2098781
Chakraborty SKiefer PRaubal M(2021)Improving Resilience by Communicating Predicted Disruptions in Control RoomsSense, Feel, Design10.1007/978-3-030-98388-8_27(302-315)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-98388-8_27
Show More Cited By

Index Terms

Real-Time Interruption Management System for Efficient Distributed Collaboration in Multi-tasking Environments
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Collaborative interaction
    2. Interactive systems and tools

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Published In

cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 4, Issue CSCW1

CSCW

May 2020

1285 pages

EISSN:2573-0142

DOI:10.1145/3403424

Editors:
Cliff Lampe
University of Michigan
,
Jeff Nichols
Google
,
Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
,
Andres Monroy-Hernandez
Microsoft Research
,
Wolfgang Stuerzlinger
Simon Fraser University, Canada

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Copyright © 2020 ACM.

© 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 May 2020

Online AM: 07 May 2020

Published in PACMHCI Volume 4, Issue CSCW1

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711th Human Performance Wing at the US Air Force Research Laboratory

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Cited By

Bahnsen KTiemann LPlabst LGrundgeiger T(2024)Augmented Reality Cues Facilitate Task Resumption after Interruptions in Computer-Based and Physical TasksProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642666(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642666
Sagar MHenderson ATakac MMorrison SKnott AMoser AYeh WPages NJawed K(2022)Deconstructing and reconstructing turn-taking in caregiver-infant interactions: a platform for embodied models of early cooperationJournal of the Royal Society of New Zealand10.1080/03036758.2022.209878153:1(148-168)Online publication date: 18-Jul-2022
https://doi.org/10.1080/03036758.2022.2098781
Chakraborty SKiefer PRaubal M(2021)Improving Resilience by Communicating Predicted Disruptions in Control RoomsSense, Feel, Design10.1007/978-3-030-98388-8_27(302-315)Online publication date: 30-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-98388-8_27
Peters NUgolini MBowers G(2021)Collaborative Communication and Intelligent Interruption SystemsSystems Engineering and Artificial Intelligence10.1007/978-3-030-77283-3_17(349-362)Online publication date: 2-Nov-2021
https://doi.org/10.1007/978-3-030-77283-3_17
Peters N(2020)Talker and Team Dependent Modeling Techniques for Intelligent Interruption InterfacesHuman Interaction, Emerging Technologies and Future Applications III10.1007/978-3-030-55307-4_23(149-154)Online publication date: 6-Aug-2020
https://doi.org/10.1007/978-3-030-55307-4_23

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