Jennifer Yee‐Shan Chang

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About

Dr. Jennifer Yee-Shan Chang is a leading scholar in technology adoption and human-robot interaction, with a particular focus on last-mile delivery systems. Her research bridges the gap between emerging autonomous technologies and user behavior, examining how individuals integrate robotic solutions into their daily lives. Her most cited work, "Out of the way, human! Understanding post-adoption of last-mile delivery robots" (2024, 42 citations), extends the task-technology fit (TTF) model to explore how users form sustained adoption behaviors after initial use of delivery robots. This study provides critical insights into the psychological and practical factors that determine whether users continue to embrace robotic services, offering valuable guidance for designers and policymakers. Dr. Chang’s contributions are particularly timely, as they address the rapid pace of technological change and its implications for urban logistics. Her work has been recognized for its practical relevance, helping to shape the future of autonomous delivery systems. With a growing citation record and a focus on real-world applications, Dr. Chang is establishing herself as a key voice in understanding the human side of automation.