AutoCoach: An Intelligent Driver Behavior Feedback Agent with Personality-Based Driver Models

Nowadays, AI has many applications in everyday human activities such as exercise, eating, sleeping, and automobile driving. Tech companies can apply to identify individual behaviors (e.g., walking, driving), analyze them, offer personalized feedback help individuals make improvements accordingly. While offering is more beneficial for drivers, most smart driver systems the current market do not use it. This paper presents AutoCoach, an intelligent agent that classifies drivers’ into different driving-personality groups feedback. We have built a cloud-based Android application collect, learn from driver’s past driving data provide personalized, constructive Our GUI interface provides real-time user both warnings rewards driver. conducted on-the-road pilot study. study where drivers were asked versions compare personality-based versus non-personality-based The result proves our design’s feasibility effectiveness improving experience when using agent, with 61% overall acceptance it accurate than non-personality-based.