title: Motor-model-based dynamic scaling in human-computer interfaces.
abstract: 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.
authors.affiliation: Universitat Politècnica de Catalunya (UPC), 08034 Barcelona, Spain. luis.miguel.munoz@upc.edu
authors.forename: Luis Miguel
authors.initials: LM
authors.lastname: Muñoz
authors.forename: Alícia
authors.initials: A
authors.lastname: Casals
authors.forename: Manel
authors.initials: M
authors.lastname: Frigola
authors.forename: Josep
authors.initials: J
authors.lastname: Amat
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003661:Decision Support Techniques; D006801:Humans; D008328:Man-Machine Systems; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D013647:Task Performance and Analysis; D014584:User-Computer Interface