Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 604

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area

Grossman, Tovi, Balakrishnan, Ravin·2005·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DOI 10.1145/1054972.1055012
Open this paper in CoChat — free account

Abstract

We present the bubble cursor - a new target acquisition technique based on area cursors. The bubble cursor improves upon area cursors by dynamically resizing its activation area depending on the proximity of surrounding targets, such that only one target is selectable at any time. We also present two controlled experiments that evaluate bubble cursor performance in 1D and 2D target acquisition tasks, in complex situations with multiple targets of varying layout densities. Results show that the bubble cursor significantly outperforms the point cursor and the object pointing technique [7], and that bubble cursor performance can be accurately modeled and predicted using Fitts' law.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/1054972.1055012

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Research works printed but not linked: 15

  1. 10.1145/642611.642646 · DOI
  2. 10.1016/B978-044482537-7/50006-1 · DOI · Paper page
  3. Baudisch , P. , Cutrell , E. , Robbins , D. , Czerwinski , M. , Tandler , P. , Bederson , B. , and Zierlinger , A . ( 2003 ). Drag-and-pop and drag-and-pick: Techniques for accessing remote screen content on touch- and pen-operated systems . Proceedings of Interact. p. 57 -- 64 . Baudisch, P., Cutrell, E., Robbins, D., Czerwinski, M., Tandler, P., Bederson, B., and Zierlinger, A. (2003). Drag-and-pop and drag-and-pick: Techniques for accessing remote screen content on touch- and pen-operated systems. Proceedings of Interact. p. 57--64.
  4. 10.1145/985692.985758 · DOI · Paper page
  5. Cockburn , A. and Firth , A . ( 2003 ). Improving the acquisition of small targets . British HCI Conference. p. 181 -- 196 . Cockburn, A. and Firth, A. (2003). Improving the acquisition of small targets. British HCI Conference. p. 181--196.
  6. 10.1145/1096737.1096741 · DOI
  7. Guiard , Y. , Blanch , R. , and Beaudouin-Lafon , M. ( 2004 ). Object pointing: a complement to bitmap pointing in GUIs. Graphics Interface . p. 9 -- 16 . Guiard, Y., Blanch, R., and Beaudouin-Lafon, M. (2004). Object pointing: a complement to bitmap pointing in GUIs. Graphics Interface. p. 9--16.
  8. 10.1145/223904.223939 · DOI
  9. Keyson , D. ( 1997 ). Dynamic cursor gain and tactual feedback in the capture of cursor movements. Ergonomics, 12 . p. 1287 -- 1298 . Keyson, D. (1997). Dynamic cursor gain and tactual feedback in the capture of cursor movements. Ergonomics, 12. p. 1287--1298.
  10. MacKenzie , S. ( 1992 ). Fitts' law as a research and design tool in human-computer interaction. Human-Computer Interaction, 7 . p. 91 -- 139 . MacKenzie, S. (1992). Fitts' law as a research and design tool in human-computer interaction. Human-Computer Interaction, 7. p. 91--139.
  11. 10.1145/142750.142794 · DOI · Paper page
  12. 10.1145/503376.503388 · DOI · Paper page
  13. 10.1145/258549.258724 · DOI · Paper page
  14. 10.1145/191666.191822 · DOI
  15. 10.1145/642611.642644 · DOI · Paper page

Cited by

See all 604

Metadata

Authors
Grossman, T., & Balakrishnan, R.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2005-04-02
Pages
281-290
DOI
10.1145/1054972.1055012
OpenAlex
W2112103637
Cited by
604
References
1
FWCI
21.59
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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

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.