Yu-Wen Chang

Papers

Total Citations

H-Index

About

Yu-Wen Chang is a pioneering researcher at the intersection of human-robot interaction (HRI), neuromarketing, and artificial intelligence. Her work fundamentally advances our understanding of how personality traits and cognitive mechanisms shape user experiences with intelligent systems. In her highly cited 2024 study, Chang employs cutting-edge neuromarketing techniques—including brainwave analysis—to compare rule-based versus generative AI chatbots in e-commerce, revealing how individual differences in personality directly influence user satisfaction and purchase intention. This groundbreaking approach bridges neuroscience and HRI, offering actionable insights for designing more adaptive and persuasive digital assistants. Complementing this, her 2022 machine learning analysis of HRI research trends from 2010 to 2021 demonstrates her methodological rigor; using topic modeling, she identified five dominant research themes, including handover dynamics, that have shaped the field. With both papers garnering 7 citations each in a short span, Chang’s work is rapidly gaining recognition for its innovative fusion of computational modeling, experimental neuroscience, and practical application. Her research not only maps the current landscape of HRI but also provides a roadmap for future systems that can dynamically adapt to human cognitive and emotional states.