DocumentCode :
2301927
Title :
An artificial neural network for the ergonomic evaluation of a human-computer interface
Author :
Arcand, Jean-François
Author_Institution :
Performance Support Syst. Group, Centre for Inform. Technol. Innovation, Laval, Que., Canada
fYear :
1994
fDate :
6-9 Nov 1994
Firstpage :
716
Lastpage :
719
Abstract :
The paper examines neural networks as a tool for optimizing the placement of icons in an interface. Such networks will be used to determine the exact placement of icons on the screen. This method will be applied in the final phase of system interface evaluation, to give a group of users the opportunity to move icons on the screen as they see fit. Each new position is recorded by a neural network. Afterwards, the networks can be interrogated to deduce the optimal placement of each icon, thus avoiding the necessity of re-programming the interface several times
Keywords :
ergonomics; graphical user interfaces; human factors; neural nets; software tools; artificial neural network; ergonomic evaluation; human-computer interface; icon placement; optimal placement; system interface evaluation; Artificial neural networks; Computer industry; Computer interfaces; Ergonomics; Human computer interaction; Information technology; Navigation; Neural networks; Process design; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
Type :
conf
DOI :
10.1109/TAI.1994.346418
Filename :
346418
Link To Document :
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