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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14553
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| Title: | A FIELD EVALUATION OF NATURAL LANGUAGE FOR DATA RETRIEVAL |
| Authors: | Jarke, Matthias
Turner, Jon A.
Stohr, Edward A.
Vassiliou, Yannis
White, Norman H.
Michielsen, Ken |
| Issue Date: | Nov-1983 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-84-08 |
| Abstract: | Although a large number of natural language database interfaces have
been developed, there have been few empirical studies of their practical
usefulness. This paper presents the design and results of a field
evaluation of a natural language system - NLS - used for data retrieval
. A balanced, multifactorial design comparing NLS with a reference
retrieval language, SQL, is described. The data are analyzed on two
levels: work task (n=87) and query (n=1081). SQL performed better than
NLS on a variety of measures, but NLS required less effort to use.
Subjects performed much poorer than expected based on the results of
laboratory studies. This finding is attributed to the complexity of the
field setting and to optimism in grading laboratory experiments. The
methodology developed for studying computer languages in real work
settings was successful in consistently measuring differences in
treatments over a variety of conditions. |
| URI: | http://hdl.handle.net/2451/14553 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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