Vehicle Human-Machine Interaction Interface Evaluation Method Based on Eye Movement and Finger Tracking Technology

Abstract

The vehicle has been gradually evolving from a traditional delivery vehicle into a complex human-computer interaction system. In view of the increasingly diverse human-computer interaction systems in today’s automobiles, the design of HMI (human-machine interact) is very important to driver’s safety. This paper presents a new human-machine interaction evaluation method from both objective and subjective perspective that combined with eye movement tracking, finger tracking, questionnaire and interview which can be used in vehicle design of HMI. It can provide theoretical basis for vehicle design of HMI. Different from other research, one hallmark of it is that this method could directly reflect the problems in HMI design by finger behavior data. Because fingers are the only part of the body that directly touch to the interface during manipulation. In this study, we tested a music selection function of vehicle HMI in domestic with a simple task and find some problems of interaction design. It is found that the number of steps to complete the task and the total distance of finger movement data can reflect the usability of the logical framework design of music function. The number of tentative steps and the manipulation time can reflect the steps in question and combined with eye movement data and video data can reflect the details of the problem. From the experimental results, it is seen that some problems in HMI design can be accurately identified by using new evaluation method. It also provides a theoretical basis for the improvement and design of HMI.