Article

BusyBody: creating and fielding personalized models of the cost of interruption

Authors:

Eric Horvitz,

Paul Koch,

Johnson ApacibleAuthors Info & Claims

CSCW '04: Proceedings of the 2004 ACM conference on Computer supported cooperative work

Pages 507 - 510

https://doi.org/10.1145/1031607.1031690

Published: 06 November 2004 Publication History

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Abstract

Interest has been growing in opportunities to build and deploy statistical models that can infer a computer user's current interruptability from computer activity and relevant contextual information. We describe a system that intermittently asks users to assess their perceived interruptability during a training phase and that builds decision-theoretic models with the ability to predict the cost of interrupting the user. The models are used at run-time to compute the expected cost of interruptions, providing a mediator for incoming notifications, based on a consideration of a user's current and recent history of computer activity, meeting status, location, time of day, and whether a conversation is detected.

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Cutrell, E., Czerwinski, M. and Horvitz, E. (2001). Notification, Disruption, and Memory: Effects of Messaging Interruptions on Memory and Performance, Proceedings of Interact 2001, pp. 263--269.

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Fogarty, J., Hudson, S.E., and Lai, J. (2004). Examining the Robustness of Sensor-Based Statistical Models of Human Interruptability, Proceedings of CHI 2004.

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Gillie, T. and Broadbent, D. (1989). What makes interruptions disruptive? A study of length, similarity and complexity Psychological Research, 50, 243--250.

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Horvitz, E. and Apacible, J. (2003) Learning and Reasoning about Interruption, Proceedings of ICMI 2003, pp. 20--27.

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Pacailler MBall RHirst BScerbo M(2024)Not Right Now: Factors Affecting Interruption Decisions in a Healthcare ParadigmProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/1071181324126299568:1(1685-1689)Online publication date: 12-Aug-2024
https://doi.org/10.1177/10711813241262995
Martin HWatson CBrooks T(2024)Synergizing BIM and RIBA in architectural practice – technology workflow efficiencies, challenges, and insightsArchitectural Engineering and Design Management10.1080/17452007.2024.2361284(1-25)Online publication date: 3-Jun-2024
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Kim YGong TLee S(2023)Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone DogsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585757(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585757
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Index Terms

BusyBody: creating and fielding personalized models of the cost of interruption
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CSCW '04: Proceedings of the 2004 ACM conference on Computer supported cooperative work

November 2004

644 pages

ISBN:1581138105

DOI:10.1145/1031607

General Chairs:
Jim Herbsleb
Carnegie Mellon University, USA
,
Gary Olson
University of Michigan, 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

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Published: 06 November 2004

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November 6 - 10, 2004

Illinois, Chicago, USA

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CSCW '04 Paper Acceptance Rate 53 of 176 submissions, 30%;

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

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Pacailler MBall RHirst BScerbo M(2024)Not Right Now: Factors Affecting Interruption Decisions in a Healthcare ParadigmProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/1071181324126299568:1(1685-1689)Online publication date: 12-Aug-2024
https://doi.org/10.1177/10711813241262995
Martin HWatson CBrooks T(2024)Synergizing BIM and RIBA in architectural practice – technology workflow efficiencies, challenges, and insightsArchitectural Engineering and Design Management10.1080/17452007.2024.2361284(1-25)Online publication date: 3-Jun-2024
https://doi.org/10.1080/17452007.2024.2361284
Kim YGong TLee S(2023)Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone DogsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585757(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585757
Chang XHsu FLiang EChiou ZChuang HTseng FLin YChang Y(2023)Not Merely Deemed as Distraction: Investigating Smartphone Users’ Motivations for Notification-InteractionProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581146(1-17)Online publication date: 19-Apr-2023
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Effects of communication style and time orientation on notification systems and anti-virus software

Balancing Awareness and Interruption in Mobile Patrol using Context-Aware Notification

Considerate home notification systems: A user study of acceptability of notifications in a living-room laboratory

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