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Ephemeral adaptation: the use of gradual onset to improve menu selection performance
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Desktop techniques table of contents
Pages 1655-1664  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Leah Findlater  University of British Columbia, Vancouver, BC, Canada
Karyn Moffatt  University of British Columbia, Vancouver, BC, Canada
Joanna McGrenere  University of British Columbia, Vancouver, BC, Canada
Jessica Dawson  University of British Columbia, Vancouver, BC, Canada
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We introduce ephemeral adaptation, a new adaptive GUI technique that improves performance by reducing visual search time while maintaining spatial consistency. Ephemeral adaptive interfaces employ gradual onset to draw the user's attention to predicted items: adaptively predicted items appear abruptly when the menu is opened, but non-predicted items fade in gradually. To demonstrate the benefit of ephemeral adaptation we conducted two experiments with a total of 48 users to show: (1) that ephemeral adaptive menus are faster than static menus when accuracy is high, and are not significantly slower when it is low and (2) that ephemeral adaptive menus are also faster than adaptive highlighting. While we focused on user-adaptive GUIs, ephemeral adaptation should be applicable to a broad range of visually complex tasks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Leah Findlater: colleagues
Karyn Moffatt: colleagues
Joanna McGrenere: colleagues
Jessica Dawson: colleagues