Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Emerging technologies, new features of human-computer interaction, and unique social and human needs have created a favorable opportunity for the further development of Human Factors and related disciplines in China. This paper first discusses and analyzes some representative new technologies and new approaches, including neuroergonomics, cognitive engineering, joint cognitive systems, and sociotechnical systems, that have expanded the depth and breadth of Human Factors and related fields of study. The paper then discusses the challenges and strategies in the applications of Human Factors and related disciplines. To further develop these academic fields in our country, this paper proposes three actions. The first action to take is to solve the problem of establishing an interdisciplinary research and education system. The second and third actions are to pay attention to innovations in Human Factors theories and take innovative design as the breakthrough point. Intelligent systems, user experience, space and aviation, and health care are the domains with high priority for research and application of Human Factors and related areas of study. At present, four urgent steps are necessary: (a) establish a fully developed higher education system, (b) organize an interdisciplinary research structure, (c) institute professional certification, and (d) develop a system for Human Factors design standards.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Intelligent technology provides new opportunities for the research and applications of engineering psychology. To this end, a work framework of engineering psychology in the intelligent era is proposed. The framework includes the objectives of engineering psychology research and applications, core problem space, disciplinary philosophy, focus of research and applications, methods and so on. The human-machine relationship in the intelligent era has presented a new form: the human-machine cooperation in the form of human-machine teaming. “Human-centered artificial intelligence” should be the discipline philosophy of engineering psychology in the intelligent era. Aiming at intelligent technology, engineering psychology researchers have recently begun to carry out research work on the theoretical framework and basic issues surrounding the new human-machine relationship, mental construct, shared decision-making between human and machine, and the interaction design for intelligent systems. In order to effectively support the research and development of intelligent systems, new and enhanced methods of engineering psychology are summarized. Finally, specific suggestions are given for addressing the challenges faced by engineering psychology.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Automated driving (AD) is one of the key directions in the intelligent vehicles field. Before full automated driving, we are at the stage of human-machine cooperative driving: Drivers share the driving control with the automated vehicles. Trust in automated vehicles plays a pivotal role in traffic safety and the efficiency of human-machine collaboration. It is vital for drivers to keep an appropriate trust level to avoid accidents. We proposed a dynamic trust framework to elaborate the development of trust and the underlying factors affecting trust. The dynamic trust framework divides the development of trust into four stages: dispositional, initial, ongoing, and post-task trust. Based on the operator characteristics (human), system characteristics (automated driving system), and situation characteristics (environment), the framework identifies potential key factors at each stage and the relation between them. According to the framework, trust calibration can be improved from three approaches: trust monitoring, driver training, and optimizing HMI design. Future research should pay attention to the following four perspectives: the influence of driver and HMI characteristics on trust, the real-time measurement and functional specificity of trust, the mutual trust mechanism between drivers and AD systems, and ways in improving the external validity of trust studies.
Subjects: Psychology >> Industrial Psychology submitted time 2021-06-08
Abstract： Automated driving (AD) is one of the key directions in the intelligent vehicles field. Before full automated driving, we are at the stage of human-machine cooperative driving: Drivers share the driving control with the automated vehicles. Trust in automated vehicles plays a pivotal role in traffic safety and the efficiency of human-machine collaboration. It is vital for drivers to keep an appropriate trust level to avoid accidents. We proposed a dynamic trust framework to elaborate the development of trust and the underlying factors affecting trust. The dynamic trust framework divides the development of trust into four stages: dispositional, initial, ongoing, and post-task trust. Based on the operator characteristics (human), system characteristics (automated driving system), and situation characteristics (environment), the framework identifies potential key factors at each stage and the relation between them. According to the framework, trust calibration can be improved from three approaches: trust monitoring, driver training, and optimizing HMI design. Future research should pay attention to the following four perspectives: the influence of driver and HMI characteristics on trust, the real-time measurement and functional specificity of trust, the mutual trust mechanism between drivers and AD systems, and ways in improving the external validity of trust studies. " " " "
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