Motor-Model-Based Dynamic Scaling in Human–Computer Interfaces

Author

Muñoz, Luis Miguel ; Casals, Alícia ; Frigola, Manel ; Amat, Josep

Author_Institution

Univ. Politec. de Catalunya (UPC), Barcelona, Spain

Volume

41

Issue

2

fYear

2011

fDate

4/1/2011 12:00:00 AM

Firstpage

435

Lastpage

447

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.

Keywords

brain-computer interfaces; computer interfaces; electric machine analysis computing; human factors; control display ratio; human intention; human motor model; human-computer interface; motor model based dynamic scaling; progressive scaling factor; scaling parameter; Acceleration; Computational modeling; Cybernetics; Humans; Navigation; Trajectory; Visualization; Difficulty index; Fitts´ law; motor control performance; scaling functions; throughput; Algorithms; Artificial Intelligence; Computer Simulation; Decision Support Techniques; Humans; Man-Machine Systems; Models, Biological; Movement; Task Performance and Analysis; User-Computer Interface;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/TSMCB.2010.2057423

Filename

5730606