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Chan, H.C.; Teo, H.H.; Zeng, X.H.: ¬An evaluation of novice end-user computing performance : data modeling, query writing, and comprehension (2005) 0.06
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Abstract

End-user computing has become a weIl-established aspect of enterprise database systems today. End-user computing performance depends an the user-database interface, in which the data model and query language are major components. We examined three prominent data models-the relational model, the Extended-EntityRelationship (EIER) model, and the Object-Oriented (00) model-and their query languages in a rigorous and systematic experiment to evaluate their effects an novice end-user computing performance in the context of database design and data manipulation. In addition, relationships among the performances for different tasks (modeling, query writing, query comprehension) were postulated with the use of a cognitive model for the query process, and are tested in the experiment. Structural Equation Modeling (SEM) techniques were used to examine the multiple causal relationships simultaneously. The findings indicate that the EER and 00 models overwhelmingly outperformed the relational model in terms of accuracy for both database design and data manipulation. The associations between tasks suggest that data modeling techniques would enhance query writing correctness, and query writing ability would contribute to query comprehension. This study provides a better and thorough understanding of the inter-relationships among these data modeling and task factors. Our findings have significant implications for novice end-user training and development.
Chan, H.C.; Wei, K.K.; Siau, K.L.: ¬A system for query comprehension (1997) 0.05
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Abstract

A major difficulty of query writing for databases is that users do not fully understand queries. Proposes a system providing feedback to enable users to better understand their queries. It is a multi-functional rule-based system. In addition to providing an English translation for the query, it pin-points syntax errors, and suggests possible solutions. Finds likely semantic errors, and provides possible solutions. The system was implemented for a query language based on the entity relationship model. It is expected to lead to better user performance. Empirical testing showed significant improvement in user performance with the feedback system. The system can be used for computer-aided training and in actual operation

Chan, H.C.; Wei, K.K.: User query performance with database feedback (1999) 0.05

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Chan, H.C.; Wei, K.K.: Effect of grading schemes on outcomes in query writing experiments (1996) 0.05
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Abstract

Findings of experiments comparing query languages are difficult to combine because the experiments have used different settings and procedures. Query accuracy, which has been determined using many different grading schemes, is the most important measure of user performance. Checks different schemes for possible effects on hypothesis rejection. Applies these grading schemes to 2 sets of queries from 2 different experiments. Examines the outcomes to identify any effect resulting from the grading schemes. Results show that the experimental outcomes are robust and immune to the grading schemes
Chan, H.C.; Wei, K.K.; Siau, K.L.: ¬An empirical study on end-users' update performance for different abstraction levels (1994) 0.04
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Abstract

A major database task is update, for which performance has not been measured. With the widespread availability of databases, updates will be done frequently by end users. The task is gaining in importance as a measure of the usabiblity of a database system. An experiment was conducted to measure the effect of different abstraction levels on user performance for updates. A conceptual level group used the entity relationship model with an entity relationship query language KQL, while a logical level group used the relational model with the standard relational language SQL. Performance was primarily measured by the accuracy of the update query. Secondary measures of time and confidence were also taken
Chan, H.C.: Naturalness of graphical queries based on the entity relationship model (1995) 0.03
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Abstract

Graphical queries involving 14 different query concepts were used in a study with 27 subjects. The results show that well designed graphical queries can be comprehended without teaching. Not so well designed queries are difficult to comprehend. The natural ability to specify graphical queries is not as good. The results identify clearly those concepts that are naturally easy to specify, and those that are difficult. The findings can be used for designing graphical interfaces, as well as for designing training packages

Chan, H.C.; Goldstein, R.C.: User-database interaction at the knowledge level of abstraction (1997) 0.01

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Date: 22. 1.1999 19:06:09

Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.01

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Date: 3. 1.2007 17:22:03

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