Preliminary Evaluation of a Situational Traditional Chinese Medicine Educational Game Combined with a Generative AI Anthropomorphic Consultant Feedback Mechanism

Abstract

The nonlinear and multidimensional interactions between the complex components of traditional Chinese medicine (TCM) and human physiological systems are highly intricate, adding to the challenges of research. In the process of innovation and inheritance of TCM with a focus on clinical application, the mentorship model plays a significant role in the field of academic medicine. By providing guidance, resources, and professional companionship, it effectively enhances trainees' autonomy and proficiency. Moreover, designing realistic scenarios allows learners to gain practical experience in solving real-world problems, thereby facilitating transfer of learning. This study utilizes generative AI as an interactive virtual mentor to develop a scenario-based educational game aimed at assisting novice pharmacists in understanding the application of TCM formulas. Preliminary results show that the game significantly improves learners' flow, reduces cognitive load, and increases game acceptance.