Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCA.2003.820581
Title: Effects of query complexity and learning on novice user query performance with conceptual and logical database interfaces
Authors: Siau, K.L.
Chan, H.C. 
Wei, K.K.
Keywords: Data models
Query languages
Relational database
User interfaces
Visual languages
Issue Date: 2004
Source: Siau, K.L., Chan, H.C., Wei, K.K. (2004). Effects of query complexity and learning on novice user query performance with conceptual and logical database interfaces. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. 34 (2) : 276-281. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCA.2003.820581
Abstract: Users see the database interface as the database system. A good interface enables them to formulate queries better. The semantics communicated through the interface can be classified according to abstraction levels, such as the conceptual and logical levels. With the conceptual interface, interaction is in terms of real-world concepts such as entities, objects and relationships. Current user-database interaction is mainly based on the logical interface, where interaction is in terms of abstract database concepts such as relations and joins. Many researchers argue that end users will perform better with the conceptual interface. This research tested this claim, as well as the effects of query complexity and learning, on the visual query performance of users. The experiment involved three tests: an initial test, a retention test and a relearning test. The results showed that, for complex queries, conceptual interface users achieved higher accuracy, were more confident in their answers, and spent less time on the queries. This is persistent across retention and relearning tests.
Source Title: IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
URI: http://scholarbank.nus.edu.sg/handle/10635/42877
ISSN: 10834427
DOI: 10.1109/TSMCA.2003.820581
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