Man-Machine Systems: Information, Control and Decision Models of Human Performance

Abstract

Contents: Introduction. Information processing and information-processing models. Probability estimation. Bayes's rule and the revision of probabilities. Information measurement and channels. Human performance in information-transmission tasks. Continuous information. Manual control and manual-control models. Fundamental considerations in modeling the human operator in a control system. Identification and models in the time domain. Quasi-linear models and identification in the frequency domain. Optimal-control models using state-variable concepts. Sensory modalities and displays. Neuromuscular characteristics and control-handle console design. Intermittent and nonlinear characteristics. Human-operator adaptation. Decision making and utility. Decisions under risk. Signal detection. Dynamic decision making. Formal games. New frontiers.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 270 citations exist upstream.