Man/Machine Interaction in Adaptive Computer-Aided Control. Final Report.
Abstract
Shared decision making between man and intelligent machine is becoming an important part of advanced systems. The research described in this paper is directed toward developing human factors criteria for the man/machine interaction. The research effort include evaluations of task allocation techniques, information feedback, and decision analysis methods. The report presents the results of a series of experimental investigations of adaptive computer aided control. The report includes (1) a review of shared decision making and control with intelligent machines; (2) an analysis of a decision processes and performance in shared control tasks; (3) a description of a representative shared control simualtion involving remotely piloted vehicle guidance; and (4) a series of experiments centering on methods of automatic control allocation and feedback. The results of the investigation suggest that automatic allocation of control based on estimated operator utilities or on objectively defined values is of advantage in shared control. The choice of allocation criteria and feedback type both depend strongly on the situation. Performance (objective value) based allocation and feedback both resulted in control proportions closer to the optimal amount than preference based allocation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 30, 1975
- Accession Number
- ADA021323
Entities
People
- Gershon Weltman
- Marlene Artof
- Randall Steeb
- William H. Crooks