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A Comparison of Linear Keyword and Restricted Natural Language Data Base Interfaces for Novice Users

Author

Listed:
  • Kil Soo Suh

    (College of Business and Economics, Yonsei University, Seoul, 120-749 Korea)

  • A. Milton Jenkins

    (Merrick School of Business, University of Baltimore, Baltimore, Maryland 21201-5779)

Abstract

This study compares a linear keyword language interface and a restricted natural language interface for data retrieval by a novice user. The comparison focuses on the effect of different data base interfaces on user performance (as measured by query correctness and query writing time) in a query writing task across varying query types and training levels. To accomplish this objective, a laboratory experiment was conducted using a split-plot factorial design using two between-subjects factors and one within-subjects factor. The results indicate that the restricted natural language subjects performed significantly better than the linear keyword language subjects in terms of both query correctness and query writing time.

Suggested Citation

  • Kil Soo Suh & A. Milton Jenkins, 1992. "A Comparison of Linear Keyword and Restricted Natural Language Data Base Interfaces for Novice Users," Information Systems Research, INFORMS, vol. 3(3), pages 252-272, September.
    • Handle: RePEc:inm:orisre:v:3:y:1992:i:3:p:252-272
    DOI: 10.1287/isre.3.3.252
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    Cited by:

    1. Carlos Ferran & Stephanie Watts, 2008. "Videoconferencing in the Field: A Heuristic Processing Model," Management Science, INFORMS, vol. 54(9), pages 1565-1578, September.
    2. Barbara L. Marcolin & Deborah R. Compeau & Malcolm C. Munro & Sid L. Huff, 2000. "Assessing User Competence: Conceptualization and Measurement," Information Systems Research, INFORMS, vol. 11(1), pages 37-60, March.
    3. Weiling Ke & Lele Kang & Chuan-Hoo Tan & Chih-Hung Peng, 2021. "User Competence with Enterprise Systems: The Effects of Work Environment Factors," Information Systems Research, INFORMS, vol. 32(3), pages 860-875, September.
    4. Paul L. Bowen & Robert A. O'Farrell & Fiona H. Rohde, 2009. "An Empirical Investigation of End-User Query Development: The Effects of Improved Model Expressiveness vs. Complexity," Information Systems Research, INFORMS, vol. 20(4), pages 565-584, December.
    5. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.

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