Factors that influence the performance of experienced speech recognition users.
Performance on automatic speech recognition (ASR) systems for users with physical disabilities varies widely between individuals. The goal of this study was to discover some key factors that account for that variation. Using data from 23 experienced ASR users with physical disabilities, the effect of 20 different independent variables on recognition accuracy and text entry rate with ASR was measured using bivariate and multivariate analyses. The results show that use of appropriate correction strategies had the strongest influence on user performance with ASR. The amount of time the user spent on his or her computer, the user's manual typing speed, and the speed with which the ASR system recognized speech were all positively associated with better performance. The amount or perceived adequacy of ASR training did not have a significant impact on performance for this user group.
Koester
Heidi Horstmann
HH
Koester Performance Research, Ann Arbor, Michigan, USA.
D000293:Adolescent; D000328:Adult; D001331:Automation; D003143:Communication Devices for People with Disabilities; D006233:Persons with Disabilities / Q000523:psychology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010465:Perception; D011597:Psychomotor Performance; D013060:Speech; D013065:Speech Intelligibility; D049250:Speech Recognition Software; D014584:User-Computer Interface