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In an era where technology permeates every aspect of life, the acceptance and utilization of technology-enabled systems, such as AI systems, automated vehicles, and healthcare robots, are often hindered by concerns about their trustworthiness and reliability. To address this challenge, my research focuses on (1) understanding the impact of human diversity and dynamics on interactions with technology, and (2) developing design principles for clear communication and effective collaboration between humans and technological systems. This talk will highlight how these approaches foster a trustful and productive partnership between humans and technologies, bridging the gap between theoretical potential and practical application.

Qiaoning Zhang completed her Ph.D. in Information and MS in Industrial and Operations Engineering with a focus on human-computer interaction, both from the University of Michigan, in 2023 and 2018 respectively. Her research is dedicated to understanding and redefining how individuals perceive, interact with, and trust technological innovations. Central to her work is the goal of fostering a symbiotic relationship between humans and technology, facilitating their collaborative efforts towards common objectives. Qiaoning’s research has been recognized in several high-impact journals and conferences, including the Conference on Human Factors in Computing Systems (CHI) and the International Journal of Human–Computer Interaction.