Toward Measurement of Attention as a Function of Risk and Risk Preference in Man-Machine Systems

Abstract

An experimental paradigm is presented which measures an operator's attention or sampling behavior as a function of the minimum number of variables necessary to structure the problem: (1) the operator's risk preference, (2) a controlled variable, and (3) costs of sampling and loss of control. Two normative models are compared with experimental data.