The Effect of Perceptual Structure on Multimodal Speech Recognition Interfaces

Thumbnail Image

Files

611.pdf (37.93 KB)

Links to Files

https://ebiquity.umbc.edu/paper/html/id/574/The-Effect-of-Perceptual-Structure-on-Multimodal-Speech-Recognition-Interfaces

Permanent Link

http://hdl.handle.net/11603/12740

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

Author/Creator

Author/Creator ORCID

Date

1998-01-01

Type of Work

technical reports
Text

Department

Program

Citation of Original Publication

Rights

This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.

Subjects

perceptual structure
multimodal
speech recognition
interfaces
UMBC Ebiquity Research Group

Abstract

A framework of complementary behavior has been proposed which maintains that direct manipulation and speech interfaces have reciprocal strengths and weaknesses. This suggests that user interface performance and acceptance may increase by adopting a multimodal approach that combines speech and direct manipulation. This effort examined the hypothesis that the speed, accuracy, and acceptance of multimodal speech and direct manipulation interfaces will increase when the modalities match the perceptual structure of the input attributes. A software prototype which supported a typical biomedical data collection task was developed to test this hypothesis. A group of 20 clinical and veterinary pathologists evaluated the prototype in an experimental setting using repeated measures. The results of this experiment supported the hypothesis that the perceptual structure of an input task is an important consideration when designing a multimodal computer interface. Task completion time, the number of speech errors, and user acceptance improved when interface best matched the perceptual structure of the input attributes.