User Insights and Design Innovation in Human-AI Collaboration

Abstract

Human-AI collaboration is increasingly shifting from passive responsiveness to proactive service delivery, driven by advances in contextual adaptation and user-centric design. This seminar will present how user insights, derived from user behaviour analysis, needs assessment, and cognitive modelling, foster design innovations. It will specifically elaborate on user perception methods—from single interactions to spatial intelligence—and, through design case studies, explore how to leverage user insights for product-service system design, achieving the product and service innovation.

Speaker

Prof. Danni Chang is an Associate Professor and Vice Dean of the School of Design at Shanghai Jiao Tong University. She obtained her Bachelor's degree in Mechanical Engineering from Tsinghua University and her PhD degree from the Design and Human Factors Lab at Nanyang Technological University, Singapore. Prof. Chang has been awarded the Shanghai "Pujiang Talent" (2017), Shanghai "Chenguang Scholar" (2018), Shanghai Jiao Tong University "Morning Star Scholar" (2019), Shanghai Jiao Tong University "Outstanding Young Professional" (2023). Her teaching excellence has been honoured with the National Teaching Achievement Award and Shanghai Outstanding Teaching Achievement Award. She has guided students to win over 20 domestic and international design competition awards. As a principal investigator, she has led multiple research projects funded by the National Natural Science Foundation of China (NSFC), the Ministry of Education Philosophy and Social Science Foundation, and the Shanghai Philosophy and Social Science Foundation. She has published over 60 academic papers, and serves as a reviewer for more than 10 SCI-indexed publications. Her research interests include smart product-service systems, human-computer interaction (HCI), user study, and data-driven design innovation.