Seecharan, TurunaTila, Tahrim Zaman2023-04-052023-04-052023-04-05https://hdl.handle.net/11299/253600Twenty participants aged between 18-30 participated in this study. To collect stress data, participants wore an E4 empatica wristband while driving, and a telematics device collected engine data. Acceleration, braking, right turn, and left turn data were collected as engine data. Raw EDA data and EDA features were used to observe the change in driving performance. In this study, higher engine data was observed with higher stress data, which means that with the change in stress level, drivers’ driving performance changes.To find the relation between drivers’ stress levels and driving performance, two types of data were collected: drivers’ stress data, as known as Electrodermal Activity (EDA) Data, and vehicles’ engine data. The purpose of this study is to investigate how drivers’ driving performance changes in higher-stressed situations.https://creativecommons.org/licenses/by-nc/4.0/Electrodermal ActivityStressDriving PerformanceDatasethttps://doi.org/10.13020/9dre-8p52Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)