The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The importance of percent-done progress indicators for computer-human interfaces
Open accessAbstract
A “percent-done progress indicator” is a graphical technique which allows the user to monitor the progress through the processing of a task. Progress indicators can be displayed on almost all types of output devices, and can be used with many different kinds of programs. Practical experience and formal experiments show that prograss indicators are an important and useful user-interface tool, and that they enhance the attractiveness and effectiveness of programs that incorporate them. This paper discusses why progress indicators are important. It includes the results of a formal experiment with progress indicators. One part of the experiment demonstrates that people prefer to have progress indicators. Another part attempted to replicate earlier findings to show that people prefer constant to variable response time in general, and then to show that this effect is reversed with progress indicators, but the results were not statistically significant. In fact, no significant preference for constant response time was shown, contrary to previously published results.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Response time in man-computer conversational transactions
Miller, R. B. (1968) · Proceedings of the December 9-11, 1968, fall joint computer conference, part I on - AFIPS '68 (Fall, part I) · doi:10.1145/1476589.1476628 · Cited by 942
Cited by
(1993) · Cited by 9,879
The SonicFinder: An Interface That Uses Auditory Icons
Gaver, W. (1989) · Human-Computer Interaction · doi:10.1207/s15327051hci0401_3 · Cited by 587
Metadata
- Authors
- Myers, B. A.
- Venue
- ACM SIGCHI Bulletin
- Published
- 1985-04
- Volume
- 16
- Issue
- 4
- Pages
- 11-17
- ISSN
- 0736-6906 (ISSN-L)
- OpenAlex
- W2014375476
- Cited by
- 192
- References
- 1
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The importance of percent-done progress indicators for computer-human interfaces. https://app.cochat.ai/papers/10.1145/1165385.317459
- The paper
- Myers, B. A. (1985). The importance of percent-done progress indicators for computer-human interfaces. ACM SIGCHI Bulletin. https://doi.org/10.1145/1165385.317459
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.