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Academic Paper


Title: Questionnaires for eliciting evaluation data from users of interactive question answering systems
Author: D. Kelly
Institution: University of North Carolina
Author: P. B. Kantor
Institution: Rutgers University
Author: E. L. Morse
Institution: National Institute of Standards and Technology
Author: J. Scholtz
Institution: Pacific Northwest National Laboratory
Author: Y. Sun
Institution: University at Buffalo
Linguistic Field: Computational Linguistics; Cognitive Science
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.

CUP at LINGUIST

This article appears in Natural Language Engineering Vol. 15, Issue 1, which you can read on Cambridge's site or on LINGUIST .



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