Driving with Black Box Assistance: Teleoperated Driving Interface Design Guidelines for Computational Driver Assistance Systems in Unstructured Environments

Hyeonggeun Yun, Younggeol Cho, Arim Ha, Jihyeok Yun

Abstract: This paper presents design guidelines for teleoperated driving interfaces within computational driver assistance systems for unstructured environments. The purpose of the guidelines is to manage the unpredictability of computational model-based assistance in unstructured environments in order to reduce user workload. Thus, we conducted a user study to evaluate workload and obtain insights into both the advantages and disadvantages of the computational driver assistance system in order to develop the guidelines. The study utilized a deep learning-based driver assistance method in simulated environments to observe the workload of users while teleoperated driving with the assistance method. Based on the user study, we proposed guidelines for teleoperated driving interface with computational driver assistance systems. We anticipate that the proposed guidelines could improve the understanding of computational driver assistance systems and reduce the workload of teleoperated driving in unstructured environments, thereby enhancing driver’s trust as well as comfort.