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

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

Journal of the American Society for Information Science and Technology, 2007, vol. 58, issue 7, 1032-1043

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.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asi.20575

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:58:y:2007:i:7:p:1032-1043

Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1532-2890

Access Statistics for this article

More articles in Journal of the American Society for Information Science and Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().