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2018 | OriginalPaper | Chapter

Apply Petri Nets to Human Performance and Workload Prediction Under Multitask

Authors : Peng Wang, Weining Fang, Beiyuan Guo, Haifeng Bao

Published in: Advances in Human Factors and Systems Interaction

Publisher: Springer International Publishing

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Abstract

Performance and workload prediction under multitasking are one of the most important aspects to consider during system design. This paper utilized a formal tool – namely petri nets, to predict individual’s performance and workload when interacting with interfaces. The petri nets model is based on limited resources theory which indicates that certain attentional resources contribute to to several channels of perceptual, cognition and psychomotor. After interpreting the parameters and rules of a general model, a case study on Multi-Attribute Task Battery-II was investigated. Individual’s performance was predicted by simulating the petri nets model, the instantaneous workload and total workload was calculated by identifying the attentional resources.

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previous chapter Development of an Automated Pressure Sensitive Thermesthesiometer and Its Application in Characterizing the Thermal Response of Human Tissue with Respect to Warm Surfaces
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Metadata
Title
Apply Petri Nets to Human Performance and Workload Prediction Under Multitask
Authors
Peng Wang
Weining Fang
Beiyuan Guo
Haifeng Bao
Copyright Year
2018
Book
Advances in Human Factors and Systems Interaction

Print ISBN: 978-3-319-60365-0

Electronic ISBN: 978-3-319-60366-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-60366-7_37

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