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Related Experiment Videos

Deployment of human-machine dialogue systems

D B Roe1

  • 1AT&T Bell Laboratories, Murray Hill, NJ 07974, USA.

Proceedings of the National Academy of Sciences of the United States of America
|October 24, 1995
PubMed
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A voice-controlled network for universal control of devices in the OR.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapyยท2010
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Deploying voice-based human-to-machine communication systems faces real-world challenges. A "degree of difficulty" metric, considering technology demands and user expectations, helps identify suitable applications for speech technology today.

Area of Science:

  • Human-Computer Interaction
  • Speech Technology
  • Artificial Intelligence

Background:

  • Real-world deployment of voice-based human-to-machine communication systems faces significant challenges.
  • Obstacles include variations in speaking style, acoustic noise, linguistic ambiguity, and user confusion.
  • A performance gap often exists between laboratory settings and actual real-world application effectiveness.

Purpose of the Study:

  • To address the question of current applications suitable for speech technology.
  • To introduce the concept of "degree of difficulty" for evaluating application feasibility.
  • To discuss general principles for deploying effective speech communication systems.

Main Methods:

  • Introduction of the "degree of difficulty" concept.

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  • Analysis of factors influencing speech recognition and speech synthesis demands.
  • Consideration of user expectations in system performance evaluation.
  • Illustrative examples of deployed human-machine communication systems.

    • Main Results:

    • The "degree of difficulty" is determined by technological demands and user expectations.
    • Effective deployment necessitates an iterative development and refinement process.
    • Practical challenges in real-world environments impact system performance.

    Conclusions:

    • Speech technology deployment requires careful consideration of application complexity and user needs.
    • An iterative approach is crucial for overcoming real-world obstacles and ensuring system effectiveness.
    • The "degree of difficulty" framework aids in identifying viable applications for current speech technology.