Towards Human-Like Autonomous Vehicles: A Qualitative Evaluation and Design Perspective

This study proposes a method for qualitatively evaluating and designing human-like driver models for autonomous vehicles. While most existing research on human-likeness has been focused on quantitative evaluation, it is crucial to consider qualitative measures to accurately capture human perception. To this end, we administered surveys to participants to discern whether the driver was human or autonomous. The survey employed direct experiential evaluation by participants. The findings of this research can significantly contribute to the development of naturalistic and human-like driver models for autonomous vehicles, enabling them to safely and efficiently coexist with human drivers in diverse driving scenarios through the interaction between human and autonomous vehicles.