Man/Machine Interactions in Intelligent Robotic Systems

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


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.


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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Freedy, A., Hull, F.C., Luccaccini, L.F., and Lyman, J., A Computer-Based Learning System for Remote Manipulator Control, IEEE Trans. on S.M.C., SMC-1, 356–363, 1971Google Scholar
  2. [2]
    Licklider, J.R.C., Man-Computer Symbiosis, IRE Transactions on Human Factors in Electronics, HFE-1, 4–11, 1960.Google Scholar
  3. [3]
    Miller, L.W., Kaplan, R.J., and Edwards, W., JUDGE: A ValveJudgment-Based Tactical Command System, Organizational Behaviour and Human Performance, 2, 329–374, 1967.CrossRefGoogle Scholar
  4. [4]
    Nickerson, R.S., Man-Computer Interaction: A Challenge for Human actors Research, Ergonomics, 12, 501–517, 1969.CrossRefGoogle Scholar
  5. [5]
    Carbonell, J.R., On Man-Computer Interaction: A Model and Some Related Issues, IEEE Transactions on Systems Science and Cybernetics, SSC-5, 16–26, 1969.Google Scholar
  6. [6]
    Cohen, H.S. and Ferrell, W.R., Human Operator Decision-Making in Manual Control, IEEE Transactions on Man-Machine Systems, MMS-10, 41–47, 1969.Google Scholar
  7. [7]
    Peterson, C.R., Judgments of Probability and Utility for Decision Making, Univ. of Michigan Engr. Psych. Lab. Report 037230–1-A, Sept., 1971.Google Scholar
  8. [8]
    Licklider, J.R.C., Man-COmputer Partnership, International Science and Technology, 18–26, 1965.Google Scholar
  9. [9]
    Mills, R.G., Man-Computer Interaction — Present and Future, IEEE International Convention Record, 196–198, 1966.Google Scholar
  10. [10]
    Taylor, I.J., A Digital Interface for the Computer Control of a Remote Manipulator, NASA Cr-80843, 1966Google Scholar
  11. [11]
    Weisbrod, R.L., Human Information Processing and the Design of Computer Information Systems, M.S. Thesis, UCLA, 1972.Google Scholar
  12. [12]
    Freedy, A., The Application of a Theoretical Learning Model to Remote anipulator Control, Ph.D. Thesis, UCLA, 1969.Google Scholar
  13. [13]
    Siegel, S., Non-Parametric Statistics for the Behavioral Sciences, New York: Mc Graw Hill, 1956.Google Scholar
  14. [14]
    Blake, R. and Ramsey, G., Perception, New York: Ronald Press, 1951.Google Scholar
  15. [15]
    Buros, O.K., ed., The Sixth Mental Measurements Yearbook, New ersey: Gryphon Press, 1965.Google Scholar

Copyright information

© Springer-Verlag Wien 1974

Authors and Affiliations

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

Personalised recommendations