A Case Study in Human Error Modeling Based on a Hybrid Dynamical Systems Approach

Uchida, Kensuke; Yamamoto, Shigeru

doi:10.1016/b978-044451813-2/50027-0

Cited by 4 publications

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“…Using this expressiveness, researchers attempt to model and analyze human operations in terms of hybrid dynamical systems that combine the continuous dynamics of mechanical systems, such as hand and leg motion, with the discrete dynamics of logical reasoning used for motion switching [19][20][21][22][23][24][25][26]. For example, the notion that a series of human actions is expressed by switching among several operation modes has been applied to the identification of a human driver's actions by a hidden Markov model [21].…”

Section: Introductionmentioning

confidence: 99%

“…Another study deals with a three-tank system operated manually by discrete level input. The system is represented by a mode switching model, and human errors are detected by the statistical hypothesis method [24]. The present authors too have proposed a mixed logical dynamical system model for the driving history of a small vehicle remotely controlled by a human operator, and have applied the model to automated cruise control [25,26].…”

Section: Introductionmentioning

confidence: 99%

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Identification of task model using piecewise affine systems with variable switching points and its application

Zanma

Fuke

Ishida

2011

Electrical Engineering Japan

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SUMMARYThis paper considers a human-operated task model based on identification techniques using switched systems expressed by mixed logical dynamical systems. In the system, each subsystem is expressed by a piecewise affine system. For a model to be identified, it is not easy to determine a number of subsystems in advance. In this paper, we propose a simultaneous identification technique which takes into account both a number of subsystems and parameters, so that a piecewise affine model of a human operation can be obtained. In addition, the obtained model is applied to automation. The effectiveness of the proposed method is illustrated by simulations and experiments.

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