Prof. B. Yu (Bin)

Bin is a design researcher with expertise in Human-Computer Interaction (HCI) and health technology. With a multidisciplinary background in biomedical engineering, industrial design, and HCI, he brings a unique perspective to his work. After completing his studies in China, Bin continued his academic career in the Netherlands, where he earned his Ph.D. from Eindhoven University of Technology in 2018. His doctoral research focused on interaction technologies that integrate biofeedback for stress management in daily life. This experience allowed him to deepen his expertise in HCI design and explore various interaction techniques, such as visual metaphors, sonification, light installations, and tangible interfaces.

Following his Ph.D., Bin worked as a data designer at Philips Design from 2019 to 2022, where he specialized in collaboration between clinicians and AI and developed interactive data visualizations for home care and advanced medical systems. In 2022, he returned to academia as a lecturer at Nyenrode Business University. Here, his research centers on the integration of AI into professional work processes. Within Digital Life, Bin contributes to the research line of Interaction Design for Emerging Technologies, focusing on HCI design for data-driven and AI-powered intelligent systems in healthcare and medical fields.

Positive AI for Healthy Living

The rise of AI has a dual role in our society: while AI can drive positive change, it sometimes inadvertently contributes to negative behavioral changes that pose health risks. Personalized digital interactions, designed to improve efficiency and user experience, can lead to dependency or distrust. AI algorithms that tailor content to individual preferences on social media and video platforms maximize engagement but may also lead to unhealthy habits, such as decreased attention span and disrupted sleep patterns. Driven by a fascination with the varied effects of AI, Bin dedicates himself to researching technologies that promote well-being while minimizing risks. His goal is to design technologies that foster health and well-being without adverse effects.

Human-Centered AI for Healthcare

AI plays a crucial role in computer-aided diagnostics (CAD). Despite its potential, large-scale clinical adoption of AI solutions remains challenging. Drawing on his experience at Philips, Bin investigates how human-centered AI solutions can be optimally integrated into clinical workflows, for instance, in radiology. His research focuses on optimizing user interfaces, data representation, and interaction flows that align with radiologists' capabilities and trust in AI. He also explores how to make AI processes and outcomes transparent to foster better acceptance and collaboration between AI and medical professionals. His research delves into questions such as: How can AI be seamlessly integrated into medical workflows for maximum efficiency and effectiveness? How can AI and clinicians complement each other through adaptive user interaction to achieve collaborative intelligence?

Bin invites anyone interested in these exciting questions to join him in further exploring how AI and technology can enhance the medical and healthcare sectors.