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Adaptive Simulation of Monitoring Behavior: The Adaptive Information Expectancy Model

Authors:
Bertram Wortelen
Andreas Lüdtke

Keywords: event expectancy ; cognitive model ; attention allocation ; monitoring behavior ;

Abstract:
Human attention is a fundamental but limited resource. Especially when performing safety critical tasks a suitable distribution of attention is essential for safe operation. E.g., changes in task relevant information have to be recognized in time in order to react adequately. This paper presents the Adaptive Information Expectancy (AIE) model, which simulates the scheduling of attention within cognitive architectures. It can be used for model-based evaluations of interactive human-machine systems. Results of a first evaluation study are shown based on a simple laboratory monitoring task. An overview on the AIE model is given and it is shown how it was integrated in the Cognitive Architecture for Safety Critical Task Simulation (CASCaS). A formal model for the laboratory task was developed and then simulated using CASCaS. Several aspects of the AIE model are evaluated on the basis of the simulations of this agent in two main steps. The first step of the evaluation compares the agent behavior with results from the studies conducted by Senders. In this step two alternative AIE model variants are compared to participants' behavior. The second evaluation step explores parameter sensitivity and the convergence behavior of the model.

Pages: 413 to 419

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-250-9

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013