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Contribution à l'étude et au développement de techniques de gestion de fenêtres

Xu Quan 1 
1 MINT - Methods and tools for gestural interactions
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Window switching is one of the most frequent tasks of any window manager happening several hundred times per day. However this task can become laborious when the number of windows becomes important. This dissertation aims at understanding and developing new switching techniques to help users to improve task switching. In order to understand how users manage their windows, a tool was developed to log user window management activity in mainstream Windows OS. Three techniques: Push-and-Pull Switching, stack scanning and WindowsTagging were designed and developed based on the results of this data. First, Push-and-Pull Switching, a window switching technique using window overlapping to implicitly define groups. Push-and-Pull Switching further allows switching between groups and restacking the focused window to any position to change its group affectation. The empirical evaluations showed that it was 50% faster than other techniques in different scenarios. Second, stack scanning, a window switching technique based on a widget that combines generalized scrolling and crossing to control the stack order of layers of visible windows. The empirical evaluations showed that it was faster than other techniques when the number of windows is high and the visual similarity among windows is important. They also showed that Taskbar was the best choice when the number of windows is small. Finally, to theorize window and group switching, we provided eleven design principles to help designers to design new switching techniques. WindowsTagging was implemented based on these design principles. The empirical evaluations showed that it was faster than Exposé, and participants strongly preferred it.
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Submitted on : Friday, February 17, 2012 - 4:52:34 PM
Last modification on : Thursday, February 24, 2022 - 3:10:16 AM
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  • HAL Id : tel-00671564, version 1



Xu Quan. Contribution à l'étude et au développement de techniques de gestion de fenêtres. Human-Computer Interaction [cs.HC]. Université des Sciences et Technologie de Lille - Lille I, 2010. English. ⟨NNT : ⟩. ⟨tel-00671564⟩



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