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Using interview data to identify evaluation criteria for interactive, analytical question‐answering systems

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  • Diane Kelly
  • Nina Wacholder
  • Robert Rittman
  • Ying Sun
  • Paul Kantor
  • Sharon Small
  • Tomek Strzalkowski

Abstract

The purpose of this work is to identify potential evaluation criteria for interactive, analytical question‐answering (QA) systems by analyzing evaluative comments made by users of such a system. Qualitative data collected from intelligence analysts during interviews and focus groups were analyzed to identify common themes related to performance, use, and usability. These data were collected as part of an intensive, three‐day evaluation workshop of the High‐Quality Interactive Question Answering (HITIQA) system. Inductive coding and memoing were used to identify and categorize these data. Results suggest potential evaluation criteria for interactive, analytical QA systems, which can be used to guide the development and design of future systems and evaluations. This work contributes to studies of QA systems, information seeking and use behaviors, and interactive searching.

Suggested Citation

  • Diane Kelly & Nina Wacholder & Robert Rittman & Ying Sun & Paul Kantor & Sharon Small & Tomek Strzalkowski, 2007. "Using interview data to identify evaluation criteria for interactive, analytical question‐answering systems," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(7), pages 1032-1043, May.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:7:p:1032-1043
    DOI: 10.1002/asi.20575
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