Improving interface quality: an investigation of human-computer interaction task learning

Article Abstract:

The use of stochastic models to represent the human learning process required for successful completion of human-computer interaction tasks provides quantitative information concerning interface learnability. To quantify learning, learning rate was used as a parameter. Using two traditional measures of interface quality, task completion time and error frequency, the learning rate was validated. The learning rate analysis identified four tasks which present learning difficulties.

Usage, Evaluation, Learning models (Stochastic processes), Computer interfaces, Interfaces (Computers), Stochastic models, User interfaces (Computers), User interface

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Cognitive systems engineering: putting things in context

Article Abstract:

Cognitive engineering, which is still in evolution, has progressed in its development as a discipline in terms of ontology, values and identification of exemplars. Ontological changes relating to circular causality and shifting of value system toward ecological validity have been investigated. It has distinguished cognitive engineering from conventional definitions of cognition and other human factors.

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Comments on 'Conception of the cognitive engineering design problem' by John Dowell and John Long

Article Abstract:

A well established definition of cognitive engineering was proposed to distinguish it from the scientific/psychological/philosophical investigations of the mind. It is due to the existence of other disciplines, such as cognitive ergonomics and human reliability analysis, which have similar characteristics. Widespread use was also encouraged to further advance the development process.

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