Interpreting Symptoms of Cognitive Load and Time Pressure in Manual Input

Abstract

Users of computing devices are increasingly likely to be subject to situationally determined distractions that produce exceptionally high cognitive load and/or time pressure. The question arises of how a system can automatically interpret symptoms of such cognitive load and time pressure in the user’s manual input behavior while taking the user’s knowledge of the system into account. An approach to this problem is presented which the results of relevant previous research are used as the basis for the construction and manipulation of a dynamic Bayesian network.