Yuansi Hou

Queen Mary University of London, Shandong Academy of Sciences

Papers

Total Citations

177

H-Index

About

Yuansi Hou is a leading researcher in tourism and hospitality management, with a primary focus on the intersection of consumer behavior and emerging technologies. Her most impactful work examines how social crowding influences tourist preferences for service robots versus human staff, a study that has garnered 172 citations and reshaped understanding of automation in service environments. This research is pivotal for the hospitality industry, offering data-driven insights into when travelers prefer robotic assistance over human interaction. Beyond tourism, Hou has contributed to robotics engineering, co-authoring a 2018 paper on high-efficiency wireless charging systems for mobile robots, which addresses critical operational challenges in autonomous systems. Her interdisciplinary approach bridges social science and technical innovation, making her work relevant to both academic researchers and industry practitioners. With a growing citation record and a knack for tackling timely questions about human-robot interaction, Hou is establishing herself as a key voice in the future of service automation and consumer experience.