The aim of the article is to present preliminary results obtained by analysis of the behavior patterns of various driver subjects, in the context of an intelligent assistive driving system. We determined the parameters which are involved in determining the car driver’s interaction intent, and extracted features of interest from various measured parameters of the driver, car, and the environment. We discuss how threshold values can be obtained for the extracted features that can be part of rules to decide on specific interaction intents. The results obtained in this paper will be incorporated in a knowledge base to define the rules of an rule-based expert system that will predict in real-time the driver’s interaction intent, in order to enhance the safe driving experience.