Human-AI Pair Programming by Data Stream and Its Application Example
Di Zhang, Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi · 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 2022
This paper focuses on the cooperation between humans and AI programmers. We propose a kind of method named Human-AI pair programming by data stream in the form of a white box. The method can create a data stream programming showing its intermediate process in the IoT system. Using a dataset of machines from a chocolate production line, we present the usage of our method and compare two programmings for the predictive maintenance of a chocolate factory. We show that the prediction accuracy rate has increased by around 40% by Human-AI pair programming with the cooperation between human and AI programmers.