The DOI matches its Crossref record.
Speed-dependent automatic zooming for browsing large documents
Open accessAbstract
We propose a navigation technique for browsing large documents that integrates rate-based scrolling with automatic zooming.The view automatically zooms out when the user scrolls rapidly so that the perceptual scrolling speed in screen space remains constant.As a result, the user can efficiently and smoothly navigate through a large document without becoming disoriented by extremely fast visual flow.By incorporating semantic zooming techniques, the user can smoothly access a global overview of the document during rate-based scrolling.We implemented several prototype systems, including a web browser, map viewer, image browser, and dictionary viewer.An informal usability study suggests that for a document browsing task, most subjects prefer automatic zooming and the technique exhibits approximately equal performance time to scroll bars, suggesting that automatic zooming is a helpful alternative to traditional scrolling when the zoomed out view provides appropriate visual cues.
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
Cited by
Voice as sound: using non-verbal voice input for interactive control
Igarashi, T., & Hughes, J. F. (2001) · Proceedings of the 14th annual ACM symposium on User interface software and technology · doi:10.1145/502348.502372 · Cited by 154
Self-citationGarcia-Lopez, E., de-Marcos, L., Garcia-Cabot, A., & Martinez-Herraiz, J.-J. (2015) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2015.1064640 · Cited by 10
Understanding and Improving Navigation Within Electronic Documents
Alexander, J. (2009) · University of Canterbury. Department of Computer Science and Software Engineering · doi:10.26021/2671 · Cited by 6
Improved form navigation on mobile devices
El Batran, K., & Dunlop, M. (2014) · 2014 6th International Conference on Computer Science and Information Technology (CSIT) · doi:10.1109/csit.2014.6805985
Metadata
- Authors
- Igarashi, T., & Hinckley, K.
- Venue
- Proceedings of the 13th annual ACM symposium on User interface software and technology - UIST '00
- Publisher
- ACM Press
- Published
- 2000
- Pages
- 139-148
- OpenAlex
- W2076009665
- Cited by
- 303
- References
- 0
- FWCI
- 4.03
- Type
- conference paper
- 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: Speed-dependent automatic zooming for browsing large documents. https://app.cochat.ai/papers/10.1145/354401.354435
- The paper
- Igarashi, T., & Hinckley, K. (2000). Speed-dependent automatic zooming for browsing large documents. Proceedings of the 13th annual ACM symposium on User interface software and technology - UIST '00. https://doi.org/10.1145/354401.354435
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.
