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Man/Machine Interactions in Intelligent Robotic Systems

  • Gershon Weltman
  • Amos Freedy
Part of the International Centre for Mechanical Sciences book series (CISM, volume 201)

Summary

This paper deals with an experimental study of optimal interaction between human operators and intelligent robots in systems for decision making and control. The study uses an adaptive computer which is able to observe a control task, learn the required responses, and assume control responsibility. The initial findings show that the factors of greatest importance include how predictable the intelligent machine is, how many errors it makes initially, how much information the operator receives about machine decisions, and what his feelings are toward the machine.

Keywords

Intelligent Machine Machine Error Adaptive Computer Technical Subject Intelligent Robotic System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1974

Authors and Affiliations

  • Gershon Weltman
    • 1
  • Amos Freedy
    • 1
  1. 1.Perceptronics, Inc.EncinoUSA

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