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IMPLICATIONS OF A COGNITIVE MODEL OF DATABASE QUERY: COMPARISON OF A NATURAL LANGUAGE, FORMAL LANGUAGE AND DIRECT MANIPULATION INTERFACE

Published: 01 October 1986 Publication History

Abstract

We have developed an cognitive model of query writing, shown in Figure 1, which consists of three distinct stages. In stage one, Query Formulation, users attempt to satisfy goals by drawing on what information they may have about the stored data to generate a natural language request. In stage two, Query Translation, users must use pragmatic information about the database, including information about the system's model of the database (i.e. objects and available actions on those objects), to translate their natural language request into a request that satisfy the pragmatics of the intended query. In the third stage, Query Writing, users need information about the syntactic and semantic rules of the particular query language interface to produce a query that will be acceptable to the system.

References

[1]
Ogden, W.C. and Brooks, S. R., "Query languages for the casual user: exploring the middle ground between formal and natural languages." Proceeding of the CHI 1983 conference on Human Factors in Computer systems. Boston, December, 1983.
[2]
Reisner, P. Use of psychological experimentation as an aid to development of a query languages, IEEE Transactions on Software Engineering, SE'3, 218'229, 1977.
[3]
Schlager M.S., and Ogden, W.C., "A cognitive model of database querying: a tool for novice instruction", Proceeding of the CHI 1986 conference on Human Factors in Computer systems. Boston, April, 1986.
[4]
Tennant, H.R., Ross, K.M., and Thompson, C.W., "Usable natural language interfaces through menu'based natural language understanding." Proceeding of the CHI 1983 conference on Human Factors in Computer systems. Boston, December, 1983.

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  • (2022)Effect of semantic distance on learning structured query language: An empirical studyFrontiers in Psychology10.3389/fpsyg.2022.99636313Online publication date: 9-Nov-2022
  • (2021)Skipping class: improving human-driven data exploration and querying through instancesEuropean Journal of Information Systems10.1080/0960085X.2020.186950731:4(463-491)Online publication date: 29-Jan-2021
  • (2020)Structured Query Language Learning: Concept Map-Based Instruction Based on Cognitive Load TheoryIEEE Access10.1109/ACCESS.2020.29979348(100095-100110)Online publication date: 2020
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Published In

cover image ACM SIGCHI Bulletin
ACM SIGCHI Bulletin  Volume 18, Issue 2
Oct. 1986
88 pages
ISSN:0736-6906
DOI:10.1145/15683
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 1986
Published in SIGCHI Volume 18, Issue 2

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Cited By

View all
  • (2022)Effect of semantic distance on learning structured query language: An empirical studyFrontiers in Psychology10.3389/fpsyg.2022.99636313Online publication date: 9-Nov-2022
  • (2021)Skipping class: improving human-driven data exploration and querying through instancesEuropean Journal of Information Systems10.1080/0960085X.2020.186950731:4(463-491)Online publication date: 29-Jan-2021
  • (2020)Structured Query Language Learning: Concept Map-Based Instruction Based on Cognitive Load TheoryIEEE Access10.1109/ACCESS.2020.29979348(100095-100110)Online publication date: 2020
  • (2019)Is it feasible to teach query programming in three different languages in a single session?Proceedings of the 2019 Conference on United Kingdom & Ireland Computing Education Research10.1145/3351287.3351293(1-7)Online publication date: 5-Sep-2019
  • (2011)Natural-language processing applied to an ITS interfaceResearch in Learning Technology10.3402/rlt.v2i2.95812:2Online publication date: 30-Dec-2011
  • (2010)Applying Cognitive Theories to Evaluate Conceptual Models in Systems AnalysisJournal of Information Technology Research10.4018/jitr.20100101053:1(55-72)Online publication date: 1-Jan-2010
  • (2010)Is Query Reuse Potentially Harmful? Anchoring and Adjustment in Adapting Existing Database QueriesInformation Systems Research10.1287/isre.1080.018921:1(56-77)Online publication date: 1-Mar-2010
  • (2006)Cognitive Mapping Techniques for User–Database InteractionIEEE Transactions on Professional Communication10.1109/TPC.2006.87507449:2(96-108)Online publication date: Jun-2006
  • (2005)Adapting graphical user interfaces for use by visually handicapped computer users: Current results and continuing researchComputers for Handicapped Persons10.1007/3-540-58476-5_100(16-24)Online publication date: 8-Jun-2005
  • (2005)Human factors of database systemsDatabase Systems of the 90s10.1007/3-540-53397-4_34(115-134)Online publication date: 2-Jun-2005
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