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Related Experiment Videos

Usage, performance, and satisfaction outcomes for experienced users of automatic speech recognition.

Heidi Horstmann Koester1

  • 1Rehabilitation Engineering Research Center on Ergonomics, University of Michigan, 2408 Antietam, Ann Arbor, MI 48105, USA. hhk@umich.edu

Journal of Rehabilitation Research and Development
|November 24, 2004
PubMed
Summary

Automatic speech recognition (ASR) offers computer access, with users reporting moderate satisfaction and primary use for reducing physical strain. Performance varies, but effective correction strategies enhance ASR user success.

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Area of Science:

  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Automatic Speech Recognition (ASR) is increasingly used for computer access.
  • Understanding user experience and performance is crucial for optimizing ASR systems.

Purpose of the Study:

  • To evaluate the usage patterns, satisfaction levels, and performance outcomes of experienced ASR users.
  • To identify factors influencing ASR effectiveness in computer tasks.

Main Methods:

  • In-person survey interviews with 24 experienced ASR users.
  • Assessment of computer task usage distribution (e.g., % of tasks using ASR).
  • Performance measurement through standardized word processing and operating system tasks, comparing speech vs. non-speech input for 18 users.

Main Results:

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  • 48% of users with input choice used ASR for ≤25% of tasks; 37% used it for >50%.
  • Overall user satisfaction was moderately positive (average 63/100), with pain/fatigue reduction as a key benefit.
  • Text entry rate was comparable with or without ASR, but non-text tasks were slower with ASR (p < 0.05).
  • Speech recognition accuracy ranged from 72% to 94%, and text entry rates varied from 3 to 32 WPM.

Conclusions:

  • ASR is valued for reducing upper-limb strain, though usage varies among users.
  • Effective correction strategies are strongly correlated with superior ASR performance.
  • While text entry speed is comparable, ASR can slow down non-text computer operations.