Article

Rethinking the progress bar

Authors:

Chris Harrison,

Brian Amento,

Stacey Kuznetsov,

Robert BellAuthors Info & Claims

UIST '07: Proceedings of the 20th annual ACM symposium on User interface software and technology

Pages 115 - 118

https://doi.org/10.1145/1294211.1294231

Published: 07 October 2007 Publication History

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Abstract

Progress bars are prevalent in modern user interfaces. Typically, a linear function is employed such that the progress of the bar is directly proportional to how much work has been completed. However, numerous factors cause progress bars to proceed at non-linear rates. Additionally, humans perceive time in a non-linear way. This paper explores the impact of various progress bar behaviors on user perception of process duration. The results are used to suggest several design considerations that can make progress bars appear faster and ultimately improve users' computing experience.

References

[1]

Allan, L. G. (1979). The Perception of Time. Perception and Psychophysics, Vol. 26, pp. 340--354.

Crossref

Google Scholar

[2]

Baumgartner H., Sujan, M., and Padgett D. (1997). Patterns of Affective Reactions to Advertisements: The Integration of Moment-to-Moment Responses into Overall Judgments. Journal of Marketing Research, Vol. 34, No. 2, pp. 219--232.

Crossref

Google Scholar

[3]

Block, R. 1990. Cognitive Models of Psychological Time, Lawrence Erlbaum Associates, Hillsdale, NJ.

Google Scholar

[4]

Conn, A. P. (1995). Time Affordances: The Time Factor in Diagnostic Usability Heuristics. In Proceedings of the 1995 SIGCHI Conference on Human Factors in Computing Systems (Denver, Colorado, May 1995). CHI '95. ACM Press, New York, NY, pp. 186--193.

Digital Library

Google Scholar

[5]

Fredrickson, B. L., and Kahneman, D. (1993). Duration Neglect in Retrospective Evaluations of Affective Episodes. Journal of Personality and Social Psychology, Vol. 65, pp. 45--55.

Crossref

Google Scholar

[6]

Geelhoed, E., Toft, P., Roberts, S., and Hyland, P. (1995). To Influence Time Perception. In Conference Companion on Human Factors in Computing Systems. CHI '95. ACM Press, New York, NY, pp. 272--273.

Digital Library

Google Scholar

[7]

Hogan, W. H. (1978). A Theoretical Reconciliation of Competing Views of Time Perception. The American Journal of Psychology, Vol. 91, No. 3, pp. 417--428.

Crossref

Google Scholar

[8]

Hosmer, D.W., and Lemeshow, S. 1989. Applied Logistic Regression, John Wiley & Sons, New York.

Google Scholar

[9]

Langer, T., Sarin, R., and Weber, M. (2005). The Retro-spective Evaluation of Payment Sequences: Duration Neglect and Peak--And--End Effects. Journal of Eco-nomic Behavior & Organization, Vol. 58, pp. 157--175.

Crossref

Google Scholar

[10]

Myers, B. A. (1985). The importance of percent-done progress indicators for computer-human interfaces. In Proceedings of the 1985 SIGCHI Conference on Human Factors in Computing Systems (San Francisco, California). CHI '85. ACM Press, New York, NY, pp. 11--17.

Digital Library

Google Scholar

[11]

Redelmeier, D., and Kahneman, D. (1996). Patients' Memories of Painful Medical Treatments: Real-time and Retrospective Evaluations of Two Minimally Invasive Procedures. Pain, Vol. 66, pp. 3--8.

Crossref

Google Scholar

Cited By

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Cockburn AHills DChen ZGutwin C(2024)User Interface Evaluation Through Implicit-Association TestsProceedings of the ACM on Human-Computer Interaction10.1145/36646368:EICS(1-23)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3664636
Cockburn AGoguey AGutwin CChen ZSuwanaposee PDowding S(2024)Automatically adapting system pace towards user pace — Empirical studiesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103228185:COnline publication date: 1-May-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103228
Lao RChen LYang JFan A(2024)Impact of mobile application loading icon type and animation frequency on user time perception and emotionDisplays10.1016/j.displa.2024.10268783(102687)Online publication date: Jul-2024
https://doi.org/10.1016/j.displa.2024.102687
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Index Terms

Rethinking the progress bar
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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Information

Published In

UIST '07: Proceedings of the 20th annual ACM symposium on User interface software and technology

October 2007

306 pages

ISBN:9781595936790

DOI:10.1145/1294211

General Chairs:
Chia Shen
MERL, USA
,
Robert Jacob
Tufts University, USA
,
Program Chair:
Ravin Balakrishnan
University of Toronto, Canada

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

New York, NY, United States

Publication History

Published: 07 October 2007

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UIST07

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UIST07: The 20th Annual ACM Symposium on User Interface Software and Technology

October 7 - 10, 2007

Rhode Island, Newport, USA

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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Cited By

View all

Cockburn AHills DChen ZGutwin C(2024)User Interface Evaluation Through Implicit-Association TestsProceedings of the ACM on Human-Computer Interaction10.1145/36646368:EICS(1-23)Online publication date: 17-Jun-2024
Cockburn AGoguey AGutwin CChen ZSuwanaposee PDowding S(2024)Automatically adapting system pace towards user pace — Empirical studiesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103228185:COnline publication date: 1-May-2024
Lao RChen LYang JFan A(2024)Impact of mobile application loading icon type and animation frequency on user time perception and emotionDisplays10.1016/j.displa.2024.10268783(102687)Online publication date: Jul-2024
Li SLin Z(2024)The impact of progress indicators and information density on users' temporal perception and user experience in mobile pedestrian navigation applicationsDisplays10.1016/j.displa.2023.10260382(102603)Online publication date: Apr-2024
Myers B(2024)Pick, Click, Flick!undefinedOnline publication date: 14-Mar-2024
Hott JBasit NGao ZTruslow EGoulmamine NDoyle MStephenson BDorn BSoh LBattestilli L(2023)Providing a Choice of Time Trackers on Online AssessmentsProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569776(715-721)Online publication date: 2-Mar-2023
Sunthorn WLe Mercier CSilpasuwanchai C(2023)Making time perception shorter with pitch and interval patternsBehaviour & Information Technology10.1080/0144929X.2022.216193743:2(273-283)Online publication date: 24-Jan-2023
Liu XZhang YWang YQu WGe Y(2023)The development of a smartphone animation fluency evaluation scale based on qualitative and quantitative researchCurrent Psychology10.1007/s12144-022-04198-142:36(31987-31997)Online publication date: 4-Jan-2023
KO Y(2022)Espace sensible : une proposition d’expérience somatique à partir de la musique interactiveRevue Francophone Informatique et Musique10.56698/rfim.2621:1Online publication date: 2022
Shirai KFutami KMurao K(2022)Exploring Tactile Stimuli from a Wrist-Worn Device to Manipulate Subjective Time Based on the Filled-Duration IllusionSensors10.3390/s2219719422:19(7194)Online publication date: 22-Sep-2022
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