Human factors comparison of a procedural and a nonprocedural query language
ACM Transactions on Database Systems (TODS)
An approach to the formal analysis of user complexity
International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
Human Factors Studies of Database Query Languages: A Survey and Assessment
ACM Computing Surveys (CSUR)
Reducing manual labor: An experimental analysis of learning aids for a text editor
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
The influence of database structure representation on database system learning and use
Journal of Management Information Systems
An assessment of written/interactive dialogue for information retrieval applications
Human-Computer Interaction
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Two experiments examine the effects of incorporating user knowledge into the design of training materials for a database querying system. In Experiment 1 an informal cognitive model of a query language is derived from the verbal reports of expert users, and incorporated into existing documentation. Two groups of subjects were then asked to solve queries using either the revised or original manual. In Experiment 2 the cognitive model was formalized to explicitly describe the conceptual and procedural information that was incorporated into training materials. Three groups of subjects then received either a conceptual model, procedural model, or neither in addition to basic instructions, and then solved four sets of queries. The results show that whether or not a given type of information facilitates performance depends on the type of query, and whether the model is consistent with the operation of the query system.