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

fYear

1995

fDate

5-8 Nov 1995

Firstpage

476

Lastpage

479

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on

Conference_Location

Herndon, VA

ISSN

1082-3409

Print_ISBN

0-8186-7312-5

Type

conf

DOI

10.1109/TAI.1995.479843

Filename

479843