Title :
An artificial neural network for the design of an adaptive multimodal interface
Author :
Arcand, Jean-Francpis ; Ramstein, Christophe
Author_Institution :
Performance Support Syst. Group, Centre for Inf. Technol. Innovation, Laval, Que., Canada
Abstract :
This article describes the use of an artificial neural network (ANN) for facilitating the design and evaluation of a direct manipulation multimodal interface with force feedback. The article describes the Multimodal User Interface System (MUIS) prototyping tool, discusses the design problem, develops the conceptual basis of ANNs, and discusses the results of the experimentation protocol used for evaluating the pertinence of our approach
Keywords :
adaptive systems; feedback; interactive devices; neural nets; software prototyping; tactile sensors; user interface management systems; Multimodal User Interface System; adaptive multimodal interface design; artificial neural network; direct manipulation multimodal interface; experimentation protocol; force feedback; prototyping tool; Artificial neural networks; Force feedback; Haptic interfaces; Image recognition; Information technology; Process design; Prototypes; Software prototyping; Software tools; Speech recognition;
Conference_Titel :
Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-7312-5
DOI :
10.1109/TAI.1995.479843
