CAREER: Modeling, Measuring and Controlling Human Comfort in Human-Autonomous-Machine Interaction (HaMI)

下一代自动机器，包括协作机器人和自动驾驶汽车，将与人类密切互动。尽管为提高此类机器的安全性和效率做出了巨大努力，但用户接受度低仍然是其使用的关键障碍。该项目通过开发测量人类舒适度的技术来解决这个问题，并修改机器行为，以增加人类在与自动机器交互时的舒适度。由此产生的进步将促进下一代协作机器人和自动驾驶汽车的成功部署，人类可以舒适地与之互动。所设计的理论、计算、实验和设计原则将适用于与人类密切互动的其他自主机器，如手术机器人、家用机器人和自主飞机。该奖项的综合教育计划将通过让学生、员工和公众参与学习和帮助设计下一代与人类密切互动的自主机器，从而增强他们的能力。该项目的主要目标是推进人类-自主-机器交互（HaMI）中人类舒适度的基础科学，并提供变革性的解决方案和指导方针来设计人类舒适互动的自主机器。该项目将促进对HaMI中影响人类舒适度因素的了解，并创建新的计算模型，对人类舒适度进行定量预测。它将为人类舒适度创造一种新的多模态测量范式，使用计算模型和生理信号来实时准确地测量人体舒适度。该项目将创建一个新的框架来优化自动机器的行为，以提高人类的舒适度。最后，它将为协作机器人和自动驾驶汽车创建和传播舒适数据集，以促进进一步的研究。研究整合教学将教育学生理解和设计与人类密切互动的自主机器。与K-12学生的接触将激励年轻人参与STEM学习，特别是自主机器学习。整合学术、工业和公共传播将创建一个联盟，共同理解、合作和接受与人类密切互动的下一代自主机器。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The next generation of autonomous machines, including collaborative robots and autonomous vehicles, will interact closely with humans. Despite tremendous efforts to promote safety and efficiency of such machines, low user acceptance remains a critical roadblock to their use. This project addresses the problem by developing techniques to measure human comfort and to modify machine behavior to increase human comfort while interacting with autonomous machines. The resulting advances will facilitate successful deployment of next-generation collaborative robots and autonomous vehicles that humans can interact with comfortably. The theoretical, computational, experimental, and design principles devised will apply to other autonomous machines that human interact with closely, such as surgical robots, domestic robots, and autonomous aircraft. The integrated education plan of this award will empower students, workforces, and the public by engaging them in learning about and helping to design next-generation autonomous machines that interact closely with humans.The main objective of this project is to advance the underlying science of human comfort in Human--Autonomous-Machine Interaction (HaMI) and provide transformative solutions and guidelines to design autonomous machines that humans interact with comfortably. The project will advance knowledge of the factors that influence human comfort in HaMI and create new computational models that give quantitative predictions of human comfort. It will create a novel multi-modal measurement paradigm for human comfort that uses the computational models and physiological signals to accurately measure human comfort in real-time. The project will create a novel framework to optimize the behaviors of autonomous machines to improve human comfort. Finally, it will create and disseminate comfort datasets for collaborative robots and autonomous vehicles to facilitate further research. Research-integrated teaching will educate students to understand and design autonomous machines that interact closely with humans. Outreach to K-12 students will inspire youngsters to engage in STEM learning especially in autonomous machines. Integrated academic, industrial and public dissemination will create a consortium to collectively understand, work with, and accept next-generation autonomous machines that interact closely with humans.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.