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Cited by 305

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

Semantic pointing: improving target acquisition with control-display ratio adaptation

Blanch, Renaud, Guiard, Yves, Beaudouin-Lafon, Michel·2004·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

We introduce semantic pointing, a novel interaction technique that improves target acquisition in graphical user interfaces (GUIs). Semantic pointing uses two independent sizes for each potential target presented to the user: one size in motor space adapted to its importance for the manipulation, and one size in visual space adapted to the amount of information it conveys. This decoupling between visual and motor size is achieved by changing the control-to-display ratio according to cursor distance to nearby targets. We present a controlled experiment supporting our hypothesis that the performance of semantic pointing is given by Fitts' index of difficulty in motor rather than visual space. We apply semantic pointing to the redesign of traditional GUI widgets by taking advantage of the independent manipulation of motor and visual widget sizes.

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Research works printed but not linked: 23

  1. P. Baudish , E. Cutrell , D. Robbins , M. Czerwinski , P. Tandler , B. Bederson , and A. Zierlinger . Drag-and-pop and drag-and-pick: techniques for accessing remote screen content on touch- and pen-operated systems . In Proc. Interact 2003 , pages 57 -- 64 , 2003 . P. Baudish, E. Cutrell, D. Robbins, M. Czerwinski, P. Tandler, B. Bederson, and A. Zierlinger. Drag-and-pop and drag-and-pick: techniques for accessing remote screen content on touch- and pen-operated systems. In Proc. Interact 2003, pages 57--64, 2003.
  2. 10.1145/354401.354782 · DOI
  3. 10.1145/571985.572000 · DOI
  4. 10.1145/57167.57182 · DOI · Paper page
  5. A. Cockburn and A. Firth . Improving the acquisition of small targets . In Proc. HCI 2003 , pages 181 -- 196 , 2003 . A. Cockburn and A. Firth. Improving the acquisition of small targets. In Proc. HCI 2003, pages 181--196, 2003.
  6. 10.1145/22627.22342 · DOI · Paper page
  7. 10.1145/223904.223934 · DOI
  8. Y. Guiard , R. Blanch , and M. Beaudouin-Lafon . Vector pointing: Object vs. pixel selection in graphical user interfaces. Rapport de Recherche 1379, LRI , Université Paris-Sud , France , 2003 . Y. Guiard, R. Blanch, and M. Beaudouin-Lafon. Vector pointing: Object vs. pixel selection in graphical user interfaces. Rapport de Recherche 1379, LRI, Université Paris-Sud, France, 2003.
  9. 10.1007/978-1-4471-0353-0_36 · DOI
  10. 10.1145/503376.503424 · DOI
  11. 10.1145/354401.354435 · DOI · Paper page
  12. 10.1080/001401397187379 · DOI
  13. 10.5555/832288.835776 · doi:10.5555/832288.835776
  14. 10.1080/00222895.1989.10735486 · DOI · Paper page
  15. 10.1207/s15327051hci0701_3 · DOI · Paper page
  16. 10.1080/01449299408914613 · DOI
  17. 10.1145/503376.503388 · DOI · Paper page
  18. 10.1145/67243.67247 · DOI
  19. 10.1145/332040.332497 · DOI
  20. 10.1145/29933.275639 · DOI
  21. 10.1145/242388.242395 · DOI
  22. 10.1145/258549.258724 · DOI · Paper page
  23. 10.1145/642611.642644 · DOI · Paper page

Cited by

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Metadata

Authors
Blanch, R., Guiard, Y., & Beaudouin-Lafon, M.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2004-04-25
Pages
519-526
OpenAlex
W2112824399
Cited by
305
References
1
FWCI
15.68
Type
conference paper
Language
en
Open access
closed

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Blanch, R., Guiard, Y., & Beaudouin-Lafon, M. (2004). Semantic pointing: improving target acquisition with control-display ratio adaptation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/985692.985758

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