Analysis for cooperative characteristics of driving by two human drivers using personality diagnosis Currently, the automatic driving technology of cars is developing rapidly. In the automatic driving level where the system monitors the driving environment under certain conditions such as highways and executes driving operations, it is necessary for the system to take over the sovereignty of driving from the system to the human at the system limit and to continue driving. At this time, the system and humans share driving sovereignty, so if the transfer of driving sovereignty is not carried out smoothly, driving operation after movement may become unstable and lead to an accident. In order to solve this problem, in this study, in order to transfer authority smoothly, we measured the cooperative driving behavior of two persons in the situation where authority transfer was necessary, and analyzed them from the viewpoint of personality diagnosis and energy flow. The experiment carried out using a driving simulator. We used an experimental device for experiments on cooperative driving of two humans with two steering wheels, two accelerator pedals and two brake pedals.

AutoCoach: Driving Behavior Management Using Intelligent IoT Services AutoCoach is an intelligent agent intended for improving automobile driversu0027 performance by applying persuasive technology. System models like Advanced driverassistance (ADAS) and some UsagebasedInsurance (UBI) share an aim to increase car and road safety. However, most prior models do not consider the differences between driving habits. The AutoCoach design includes two unique components to build an effective persuasive system. The first component is the personality classification, which recognizes driversu0027 personalities by analyzing driving behavior patterns. The second component is the rewarding system, which determines the current driving behavioru0027s risk score based on some immediate past behavior. We propose the idea of memory factor, which decides when to provide feedback to drivers based on their personality. This memory factor identifies the most critical behaviors within a flexible timeperiod. AutoCoach then decides on feedback to maintain safe driving or improve the level of awareness for risky driving habits.