The Application of Human Factors to the Needs of the Novice Computer User

Article Abstract:

With no distinction between a novice and a naive computer user this literature search and review describes the problems faced when attempts are made to get the computers to meet user needs. Surveys showed that the official advisory service of the university was the most valued aid with courses and documentation as next most valued. Interface modes and the opinions of the writers surveyed covered menu selection, fill-in-the-blank, and parametric. In addition to standard texts producted by HELP facilities it is argued that some kind of computer assisted learning should be available. Attitude, anxiety and closure are psychological factors to be considered. Worthy of investigation are the applications of human factors to the needs of the novice computer user. Table I lists problems and suggested solutions.

User training, Frustration, End users, User Need, Human Factors, User Behavior, Beginners

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Towards an Understanding of the Role of Experience in the Evolution from Novice to Expert

Article Abstract:

Experts differ from novices in that they have more knowledge in their field and they are better at applying and using the knowledge effectively. Much of expert system research has concentrated on the first difference. The second difference is explored. How experience is organized in memory and incremental learning are discussed. Refinements of reasoning processes and domain knowledge are explored. A program, SHRINK, is used to implement the theories discussed.

Medicine, Artificial intelligence, Expert systems, Knowledge-based systems, Cognitive science, Applications, Knowledge-Based System

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Programming Problem Representation in Novice and Expert Programmers

Article Abstract:

Several studies have been conducted on the differences between experts and novices in several areas. A new study is presented on the differences in categories used by expert and novice programmers for problem solving. It is shown that experts and novices categorize problems differently and that experts show a consistent categorization of problems. Programming managers show a different categorization of problems.

Comparison, Programmer, Study, Comparative Study, Program Logic, Program Development Techniques

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