Driver Acceptance Of New Technology

Acceptance of new technology and systems by drivers is an important area of concern to governments, automotive manufacturers and equipment suppliers, especially technology that has significant potential to enhance safety. To be acceptable, new technology must be useful and satisfying to use. If not, drivers will not want to have it, in which case it will never achieve the intended safety benefit. Even if they have the technology, drivers may not use it if it is deemed unacceptable, or may not use it in the manner intended by the designer. At worst, they may seek to disable it. This book brings into a single edited volume the accumulating body of thinking and research on driver and operator acceptance of new technology. Bringing together contributions from international experts from around the world, the editors have shaped a book that covers the theory behind acceptance, how it can be measured and how it can be improved. Case studies are presented that provide data on driver acceptance of a wide range of new and emerging vehicle technology. Although driver acceptance is the central focus of this book, acceptance of new technology by operators in other domains, and across cultures, is also investigated. Similarly, perspectives are derived from domains such as human computer interaction, where user acceptance has long been regarded as a key driver of product success. This book comes at a critical time in the history of the modern motor vehicle, as the number of new technologies entering the modern vehicle cockpit rapidly escalates. The goal of this book is to inspire further research and development of new vehicle technology to optimise user acceptance of it; and, in doing so, to maximise its potential to be useful, satisfying to use and able to save human life.

Katja Wagner investigates consumer behavioral intention and interactions with new technologies and digital channels. Due to the fact that the development, spread and sale of these new technologies and digital channels will have a continuous growth and influence in the following years regarding business activities, it is important to take a deeper look in the areas of artificial intelligence and e-commerce. Not only business is affected from these new shifts, but it also impacts consumers’ attitudes, motivation, and practices. So, the evaluation of anthropomorphism and in general, the expectation and motivation of successful acceptance are under review and offer explanations for consumers intentional usage of new technologies. Therefore, six essays address specific phenomena in central subareas of new technologies and digital channels for a more profound understanding of consumers in digital environments.

This comprehensive 2nd edition covers the key issues that relate human behavior to traffic safety. In particular it covers the increasing roles that pedestrians and cyclists have in the traffic system; the role of infotainment in driver distraction; and the increasing role of driver assistance systems in changing the driver-vehicle interaction.

Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms. Provides a complete overview of decision-making and control techniques for autonomous vehicles Includes technical, physical, and mathematical explanations to provide knowledge for implementation of tools Features machine learning to improve performance of decision-making algorithms Shows how regulations and ethics influence the development and implementation of these algorithms in real scenarios

The two-volume Proceedings set CCIS 1675 and 1676 constitutes the refereed proceedings of the Second International Conference, ARTIIS 2022, held in Santiago de Compostela, Spain, during September 12–15, 2022. The 72 papers included in these proceedings were carefully reviewed and selected from 191 submissions. These papers were categorized into 2 technical tracks, i.e., Computing Solutions and Data Intelligence.

This book discusses the latest advances in research and development, design, operation and analysis of transportation systems and their complementary infrastructures. It reports on both theories and case studies on road and rail, aviation and maritime transportation. Further, it covers a wealth of topics, from accident analysis, vehicle intelligent control, and human-error and safety issues to next-generation transportation systems, model-based design methods, simulation and training techniques, and many more. A special emphasis is placed on smart technologies and automation in transport, and on the user-centered, ergonomic and sustainable design of transport systems. The book, which is based on the AHFE 2019 International Conference on Human Factors in Transportation, held on July 24-28, 2019, in Washington D.C., USA, mainly addresses the needs of transportation system designers, industrial designers, human–computer interaction researchers, civil and control engineers, as well as vehicle system engineers. Moreover, it represents a timely source of information for transportation policy-makers and social scientists whose work involves traffic safety, management, and sustainability issues in transport.

This book is dedicated to user experience design for automated driving to address humane aspects of automated driving, e.g., workload, safety, trust, ethics, and acceptance. Automated driving has experienced a major development boost in recent years. However, most of the research and implementation has been technology-driven, rather than human-centered. The levels of automated driving have been poorly defined and inconsistently used. A variety of application scenarios and restrictions has been ambiguous. Also, it deals with human factors, design practices and methods, as well as applications, such as multimodal infotainment, virtual reality, augmented reality, and interactions in and outside users. This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed-up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.

Telematics in the automotive industry are the most popular example of Connected Services. But despite their implementation in several million of vehicles worldwide, there has only been little consideration in research. Clemens Hiraoka analyzes the entire customer lifecycle from awareness, acceptance, and usage to the renewal of the service contract and uncovers the drivers in each of these stages. His evaluation gives a series of new implications for management and research.