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Seema Sharma, Lovely Professional University                            Unit 10: Evaluation of User Studies




                          Unit 10: Evaluation of User Studies                                      Notes








              CONTENTS
              Objectives

              Introduction
              10.1  Evolution of the System and Interface Design

              10.2  Summary

              10.3  Keywords
              10.4  Review Questions

              10.5  Further Readings



          Objectives


          After studying this unit, you will be able to:
           •  Explain  evaluation of user studies
           •  Describe evolution of the system and interface design.

          Introduction

          The Alexandria Digital Library (ADL) is a geolibrary (Goodchild, 1998; National Research Council,
          1999) where a primary means of describing and finding information is with a geographic footprint. A
          footprint shows a location on the surface of the Earth associated with either a collection object (CO)
          (such as a map, an aerial photograph, or a remote-sensing image) or with a user’s query. The footprint
          may be represented as a point or polygon, with latitude and longitude co-ordinates. When a user
          queries the ADL collections through the user interface, the user creates a footprint on an interactive
          map to indicate the area of interest (the query area). The query area is matched with the CO footprints
          recorded in the metadata to retrieve relevant collection objects—that is, COs “about” the query area.
          This means that the user can choose arbitrary query areas, not just geographic areas that have place
          names. This also means that COs about the query area do not have to have the names associated
          with them that the user enters for a text based query. For example, the user’s query might be of the
          type “What do you know about the Santa Barbara area?” Which can be translated into a query area
          for Santa Barbara, which can then be used to find COs with matching footprints.
          This approach opens up the possibility of finding all types of information related to an area, including
          aerial photographs, remote sensing images, data sets, and texts. Geographic footprints can be applied
          to both on-line-accessible (e.g., digital images) and off-line-accessible (e.g., paper maps) COs, giving







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