HUMAN FACTORS IN AUTOMATED VEHICLES: A Bibliographic Study on Enhancing Trust and Situation Awareness in Human Machine Interface

Automated vehicle technology represents a revolutionary advancement in the field of transportation, bringing limitless possibilities to our modes of travel and future transportation systems. As automated vehicles gradually become a part of everyday traffic on the roads, human factors and the associated issues of trust and situation awareness has become particularly important. The thesis aims to explore these critical topics, with the goal of gaining a deeper understanding of how to ensure smoother, more efficient, and safer interactions between automated vehicles and human drivers and passengers. The novel concept of automated vehicles has piqued the interest of countless researchers, engineers, and policymakers who see it as an effective means to reduce road accidents, alleviate traffic congestion, and enhance travel efficiency. However, to achieve these goals, we must overcome various technological, legal, and societal challenges. Among these, human factors are widely recognized as a key determinant of the acceptance and successful deployment of automated vehicles. The thesis is organized into three main parts. The first part, Chapter 1: Automated Vehicles, delves into the technological development of automated vehicles. It explores various levels of automation, from advanced driver assistance systems to fully autonomous vehicles. The chapter investigates the historical evolution of automated driving systems, their technological architecture, and key features, laying the foundation for subsequent discussions. The second part consists of Chapter 2: Situation Awareness and Chapter 3: Trust. This part delves into the concept of situation awareness, examining how humans perceive and understand their surroundings during the driving process and how this can be maintained in the context of automated driving. This part emphasizes the interaction between situation awareness and automated driving technology to enhance vehicle safety and efficiency. It also places significant emphasis on the critical role of "trust" in automated vehicles. We explore how trust influences driving decisions, a sense of safety, and user acceptance. Furthermore, we discuss strategies for establishing and maintaining user trust in automated driving systems. The third part, Chapter 4: Optimize HMI Design, focuses on optimizing "human-machine interface design" to ensure effective interaction between humans and automated driving systems. We discuss optimization efforts in interface design, improvements in user experience, and enhancements in system performance. Through these three parts, the thesis comprehensively addresses "human factors in automated vehicles," highlighting the significance of "trust" and "situation awareness" in the design of human-machine interfaces. The objective is to provide valuable insights that contribute to the ongoing development and improvement of automated driving technology, ultimately leading to safer, more efficient, and user-friendly future transportation systems.