Method of neuro-fuzzy estimation of graphical user interface usability

This paper provides an approach to fuzzy estimation of graphical user interface usability on the basis of measurements of its individual components. The considered aspects of usability are Fitts law-based value of efficiency and estimation of user satisfaction using a single-layer perceptron, trained by expert data. Model of human-computer interaction is being formalized using directed graph. An example provided in a paper describes usability estimation of different mockups for control action execution interface for space vehicle onboard computer system.

References

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