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Questionnaires for eliciting evaluation data from users of interactive question answering systems

Published online by Cambridge University Press:  01 January 2009

D. KELLY ,
P. B. KANTOR ,
E. L. MORSE ,
J. SCHOLTZ  and
Y. SUN
D. KELLY*
Affiliation:
University of North Carolina, Chapel Hill, NC 27599-3360, USA e-mail: dianek@email.unc.edu
P. B. KANTOR
Affiliation:
Rutgers University, New Brunswick, NJ 08901, USA e-mail: kantor@scils.rutgers.edu
E. L. MORSE
Affiliation:
National Institute of Standards & Technology, Gaithersburg, MD 20899, USA e-mail: emile.morse@nist.gov
J. SCHOLTZ
Affiliation:
Pacific Northwest National Laboratory, Richland, WA 99352, USA e-mail: jean.scholtz@pnl.gov
Y. SUN
Affiliation:
University at Buffalo, The State University of New York, Buffalo, NY 14260, USA e-mail: sun3@buffalo.edu
*
†To whom all correspondences should be addressed.
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Abstract

Evaluating interactive question answering (QA) systems with real users can be challenging because traditional evaluation measures based on the relevance of items returned are difficult to employ since relevance judgments can be unstable in multi-user evaluations. The work reported in this paper evaluates, in distinguishing among a set of interactive QA systems, the effectiveness of three questionnaires: a Cognitive Workload Questionnaire (NASA TLX), and Task and System Questionnaires customized to a specific interactive QA application. These Questionnaires were evaluated with four systems, seven analysts, and eight scenarios during a 2-week workshop. Overall, results demonstrate that all three Questionnaires are effective at distinguishing among systems, with the Task Questionnaire being the most sensitive. Results also provide initial support for the validity and reliability of the Questionnaires.

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Type
Papers
Information
Natural Language Engineering , Volume 15 , Special Issue 1: Interactive Question Answering , January 2009 , pp. 119 - 141
Copyright
Copyright © Cambridge University Press 2008

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