Title :
An information theory-based approach for quantitative evaluation of user interface complexity
Author :
Kang, Hyun G. ; Seong, Poong H.
Author_Institution :
Dept. of Nucl. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
fDate :
12/1/1998 12:00:00 AM
Abstract :
Development of effective measures for the complexity of human-computer interface design based on a proper model is desirable in order to improve the human performance and to facilitate the system development. In this paper, the authors propose the task-to-action (TTA) model which can describe the task-performing procedure of human operators. Quantitative interface design complexity measures using an informational entropy concept are also proposed to determine the user interface complexity, i.e., operation complexity, transition complexity, and screen complexity. Two experiments are performed in this work to show the validity of the proposed model and the measures: one is to test the validity of the TTA model with the case of information-seeking problem and the other for the suggested entropy measures
Keywords :
entropy; human factors; information theory; user interfaces; entropy measures; human-computer interface design; information theory-based approach; information-seeking problem; informational entropy concept; operation complexity; quantitative evaluation; screen complexity; system development; task-to-action model; transition complexity; user interface complexity; Anthropometry; Entropy; Guidelines; Humans; Information theory; Performance evaluation; Power generation; Predictive models; Testing; User interfaces;
Journal_Title :
Nuclear Science, IEEE Transactions on