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This paper presents a study on how the application
of scaling techniques to an interface affects its performance. A
progressive scaling factor based on the position and velocity of
the cursor and the targets improves the efficiency of an interface,
thereby reducing the user’s workload. The study uses several
human-motor models to interpret human intention and thus
contribute to defining and adapting the scaling parameters to
the execution of the task. Two techniques addressed to vary the
control-display ratio are compared, and a new method for aiding
in the task of steering is proposed.
CitationMuñoz, L. [et al.]. Motor-model-based dynamic scaling in human-computer interfaces. "IEEE transactions on systems man and cybernetics Part B-Cybernetics", Abril 2011, vol. 41, núm. 2, p. 435-447.
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