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      Comparing Interfaces for Image Sorting

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      ATKINS-THESIS-2020.pdf (12.10Mb)
      Date
      2020-09-03
      Author
      Atkins, Cheralyn
      ORCID
      0000-0002-7919-9774
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      Many tasks ask people to make categorization decisions about a large number of items based on images. There are many ways in which this task can be presented to the user, but there is little information available about how the decision technique affects performance. To investigate this topic three user studies were conducted, which compared different methods for user categorization of images: one based on the "swipe right / swipe left" mechanism commonly utilized in dating sites, four based on grids of images, one that presents a moving stream of images, and one that rapidly flashes a sequence. Additional studies were conducted to investigate the impact of altering certain aspects of the interface design, such as changing the speed of image presentation or adding extra features including zoom and image preview. These studies also investigated the impact of changing the context of the image categorization task, to make the task more familiar to the users. The experimental studies showed strong differences between the various techniques in time, accuracy, effort, and preference, with the small grid the clear winner on all measures. This work provides the first empirical evidence about different approaches for supporting image categorization, and identifies a technique that has distinct advantages over other methods.
      Degree
      Master of Science (M.Sc.)
      Department
      Computer Science
      Program
      Computer Science
      Supervisor
      Gutwin, Carl; Stavness, Ian
      Committee
      Makaroff, Dwight; Lee, Roy Ka-Wei; Dinh, Anh
      Copyright Date
      August 2020
      URI
      http://hdl.handle.net/10388/12996
      Subject
      Interface Design
      Image Sorting
      Human Computer Interaction
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