Apply Petri Nets to Human Performance and Workload Prediction Under Multitask

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.