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      • HARVEST
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      Supporting Transitions To Expertise In Hidden Toolbars

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      SCHRAMM-THESIS-2019.pdf (1.993Mb)
      Date
      2019-03-10
      Author
      Schramm, Katherine 1989-
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      Hidden toolbars are becoming common on mobile devices. These techniques maximize the space available for application content by keeping tools off-screen until needed. However, current designs require several actions to make a selection, and they do not provide shortcuts for users who have become familiar with the toolbar. To better understand the performance capabilities and tradeoffs involved in hidden toolbars, we outline a design space that captures the key elements of these controls and report on an empirical evaluation of four designs. Two of our designs provide shortcuts that are based on the user’s spatial memory of item locations. The study found that toolbars with spatial-memory shortcuts had significantly better performance (700ms faster) than standard designs currently in use. Participants quickly learned the shortcut selection method (although switching to a memory-based method led to higher error rates than the visually-guided techniques). Participants strongly preferred one of the shortcut methods that allowed selections by swiping across the screen bezel at the location of the desired item. This work shows that shortcut techniques are feasible and desirable on touch devices and shows that spatial memory can provide a foundation for designing shortcuts.
      Degree
      Master of Science (M.Sc.)
      Department
      Computer Science
      Program
      Computer Science
      Supervisor
      Gutwin, Carl
      Committee
      Mondal, Debajyoti; Mandryk, Regan; Zhang, Chris
      Copyright Date
      January 2019
      URI
      http://hdl.handle.net/10388/11908
      Subject
      Human Computer Interaction
      Interaction Techniques
      Toolbars
      Expertise
      Spatial Memory
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