Article

Matching attentional draw with utility in interruption

Authors:

Jennifer Gluck,

Joanna McGrenereAuthors Info & Claims

CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 41 - 50

https://doi.org/10.1145/1240624.1240631

Published: 29 April 2007 Publication History

Abstract

This research examines a design guideline that aims to increase the positive perception of interruptions. The guideline advocates matching the amount of attention attracted by an interruption's notification method (attentional draw) to the utility of the interruption content. Our first experiment examined a set of 10 visual notification signals in terms of their detection times and established a set of three significantly different signals along the spectrum of attentional draw. Our second experiment investigated matching these different signals to interruption content with different levels of utility. Results indicate that the matching strategy decreases annoyance and increases perception of benefit compared to a strategy that uses the same signal regardless of interruption utility, with no significant impact on workload or performance. Design implications arising from the second experiment as well as recommendations for future work are discussed.

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Cited By

Janaka NCai RZhao SHsu D(2024)Demonstrating PANDALens: Enhancing Daily Activity Documentation with AI-assisted In-Context Writing on OHMDExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3648644(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3648644
Li ZCheng YYan YLindlbauer D(2024)Predicting the Noticeability of Dynamic Virtual Elements in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642399(1-17)Online publication date: 11-May-2024
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Index Terms

Matching attentional draw with utility in interruption
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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cover image ACM Conferences

CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2007

1654 pages

ISBN:9781595935939

DOI:10.1145/1240624

General Chair:
Mary Beth Rosson
The Pennsylvania State University, USA
,
Program Chair:
David Gilmore
Intel, USA

Copyright © 2007 ACM.

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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Publication History

Published: 29 April 2007

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CHI07

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CHI07: CHI Conference on Human Factors in Computing Systems

April 28 - May 3, 2007

California, San Jose, USA

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CHI '07 Paper Acceptance Rate 182 of 840 submissions, 22%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Janaka NCai RZhao SHsu D(2024)Demonstrating PANDALens: Enhancing Daily Activity Documentation with AI-assisted In-Context Writing on OHMDExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3648644(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3648644
Li ZCheng YYan YLindlbauer D(2024)Predicting the Noticeability of Dynamic Virtual Elements in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642399(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642399
Wang ACheng YLindlbauer D(2024)MARingBA: Music-Adaptive Ringtones for Blended Audio Notification DeliveryProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642376(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642376
Cai RJanaka NChen YWang LZhao SLiu C(2024)PANDALens: Towards AI-Assisted In-Context Writing on OHMD During TravelsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642320(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642320
Junça Silva A(2024)Applying the Affective Events Theory to Explore the Effect of Daily Micro-Interruptions on Mental Health: The Mediating Role of Affect and the Moderating Role of Pets at WorkThe Spanish Journal of Psychology10.1017/SJP.2024.227Online publication date: 30-Jan-2024
https://doi.org/10.1017/SJP.2024.2
Bortko KFornalczyk KJankowski JSulikowski PDziedziak K(2023)Impact of changes in chatbot’s facial expressions on user attention and reaction timePLOS ONE10.1371/journal.pone.028812218:7(e0288122)Online publication date: 27-Jul-2023
https://doi.org/10.1371/journal.pone.0288122
Janaka NZhao SChan S(2023)NotiFade: Minimizing OHMD Notification Distractions Using FadingExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585784(1-9)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585784
Dahiya ACai YSchneider OSmith S(2023)On the Impact of Interruptions During Multi-Robot Supervision Tasks2023 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48891.2023.10160323(9771-9777)Online publication date: 29-May-2023
https://doi.org/10.1109/ICRA48891.2023.10160323
Feldman EGreenway D(2020)It's a Matter of Time: The Role of Temporal Perceptions in Emotional Experiences of Work InterruptionsGroup & Organization Management10.1177/105960112095928846:1(70-104)Online publication date: 18-Sep-2020
https://doi.org/10.1177/1059601120959288
Hsieh CChiang YChiu HChang YBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Bridging the Virtual and Real Worlds: A Preliminary Study of Messaging Notifications in Virtual RealityProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376228(1-14)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376228
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