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Flower menus: a new type of marking menu with large menu breadth, within groups and efficient expert mode memorization

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Published:28 May 2008Publication History

ABSTRACT

This paper presents Flower menu, a new type of Marking menu that does not only support straight, but also curved gestures for any of the 8 usual orientations. Flower menus make it possible to put many commands at each menu level and thus to create as large a hierarchy as needed for common applications. Indeed our informal analysis of menu breadth in popular applications shows that a quarter of them have more than 16 items. Flower menus can easily contain 20 items and even more (theoretical maximum of 56 items). Flower menus also support within groups as well as hierarchical groups. They can thus favor breadth organization (within groups) or depth organization (hierarchical groups): as a result, the designers can lay out items in a very flexible way in order to reveal meaningful item groupings. We also investigate the learning performance of the expert mode of Flower menus. A user experiment is presented that compares linear menus (baseline condition), Flower menus and Polygon menus, a variant of Marking menus that supports a breadth of 16 items. Our experiment shows that Flower menus are more efficient than both Polygon and Linear menus for memorizing command activation in expert mode.

References

  1. Bailly, B., Lecolinet, E., Nigay, L. (2007). Wave Menus: Improving the Novice Mode of Hierarchical Marking Menus, INTERACT'07. Springer. P. 475--488. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bailly, G., Lecolinet, E., Nigay, L. (2007). Analysis of curved gestures. Technical Report GET/ENST.Google ScholarGoogle Scholar
  3. Cao, X. and Zhai, S. (2007). Modeling human performance of pen stroke gestures. In ACM CHI '07. p. 1495--1504. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Cockburn, A, Kristensson, P, Alexander, J and Zhai, S (2007). Hard lessons: effort-inducing interfaces benefit spatial learning. ACM CHI'07. p. 1571--1580. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Grossman T., Dragicevic, P., Balakrishnan, R. (2007). Strategies for accelerating on-line learning of hotkeys. ACM CHI'07. p. 1591--1600. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Guimbretière, F., Winograd, T. (2000). FlowMenus: combining command, text and data entry. ACM UIST'00. p. 213--16. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Helson, H. (1933). The fundamental propositions of gestalt psychology. Psychology Review 40, p. 13--31.Google ScholarGoogle ScholarCross RefCross Ref
  8. Isokoski, P. Käki, M. (2002). Comparison of two touchpad-based methods for numeric entry. ACM CHI'02, pp. 25--32. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Kurtenbach, G., Buxton, W. (1991). Issues in Combining Marking and Direct Manipulation Techniques, ACM UIST'91. pp. 137--144. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Kurtenbach G., Buxton, W. (1993). The limits of expert performance using hierarchical marking menus. ACM CHI'93. pp. 35--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Kurtenbach, G., Sellen, A., Buxton, W. (1993). An empirical evaluation of some articulatory and cognitive aspects of marking menus. Journal of Human Computer Interaction, 8(1), p. 1--23.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Kurtenbach, G., Buxton, W. (1994). User learning and performance with marking menus. ACM CHI'94. p. 258--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Lee, E. S., Raymond, D. R. (1993). Menu-Driven Systems. Encyclopedia of Microcomputers, Vol. 11, p. 101--127.Google ScholarGoogle Scholar
  14. Miller G. A., (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. The Psychological Review, 63, p. 81--97Google ScholarGoogle ScholarCross RefCross Ref
  15. Moyle, M., Cockburn, A. (2002). Analysing Mouse and Pen Flick Gestures. CHI'02, p. 19--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Norman, K. (1991). The Psychology of Menu selection: Designing Cognitive Control at the Human/Computer Interface. Ablex Publishing Corporation. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Odell, D. L., Davis, R. C., Smith, A., and Wright, P. K. (2004). Toolglasses, marking menus, and hotkeys: a comparison of one and two-handed command selection techniques. GI'04, p. 17--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Viviani, P., Terzuolo, C. (1982). Trajectory determines movement dynamics. in Neuroscience, 7(2). 431--437.Google ScholarGoogle ScholarCross RefCross Ref
  19. Zhao, S., Balakrishnan, R. (2004). Simple vs. compound mark hierarchical marking menus. ACM UIST'04. pp. 33--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Zhao, S., Agrawala, M., Hinckley, K. (2006). Zone and polygon menus: using relative position to increase the breadth of multi-stroke marking menus. ACM CHI'06. p. 1077--1087 Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        AVI '08: Proceedings of the working conference on Advanced visual interfaces
        May 2008
        483 pages
        ISBN:9781605581415
        DOI:10.1145/1385569

        Copyright © 2008 ACM

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        Publication History

        • Published: 28 May 2008

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