Ching-Chih Tsao

Cornell University, National Chengchi University

Papers

Total Citations

H-Index

About

Ching-Chih Tsao is a pioneering researcher at the intersection of human-robot interaction (HRI), neuromarketing, and artificial intelligence, with a focus on how emerging technologies reshape user experience in digital commerce. Her most cited work, “Human-Robot Interaction in E-Commerce: The Role of Personality Traits and Chatbot Mechanisms - A Neuromarketing Research” (2024, 7 citations), breaks new ground by using brainwave analysis to compare rule-based and generative AI chatbots, revealing how user personality traits influence satisfaction and purchase intention. This neuromarketing approach offers unprecedented insight into the cognitive and emotional dimensions of human-robot engagement. Tsao’s earlier study, “A Machine Learning Approach to Model HRI Research Trends in 2010~2021” (2022, 7 citations), demonstrates her methodological rigor, employing topic modeling to analyze a vast corpus of HRI literature and identify five dominant research themes, including handover dynamics. Her work is notable for bridging computational analysis with experimental neuroscience, providing both a macro-level map of the field and micro-level evidence of user responses. With her innovative integration of ML, neuroscience, and HRI, Tsao is shaping the future of empathetic, adaptive robotic systems for e-commerce and beyond.