Design and Preliminary Evaluation of a Psychological Counseling Training Game Using Generative AI Virtual Characters Based on Situational Learning as a Case Study

Author Information

Mei-Fen Chen, National Taiwan University of Science and Technology, Taiwan
Chih-Chung Chien, National Taiwan University of Science and Technology, Taiwan
Huei-Tse Hou, National Taiwan University of Science and Technology, Taiwan

Abstract

Recommendations for teaching strategies in psychological counseling training suggest conducting repetitive and realistic training, which is relatively costly. Digital simulation and game-based learning are expected to provide highly motivating, iterative practice opportunities that are low-cost and unrestricted by time or location. This study employed our team's scenario-based Generative AI (GenAI) character technology module to design an educational game for training psychological counseling in bullying cases. Players assume the role of teachers who must interact with AI-generated bullied students within a time limit. The game objectives involve understanding the facts surrounding the bullying incident and implementing appropriate interventions. All 20 participants were active teachers in Taiwan. Findings indicate high levels of flow engagement and significant improvements in counseling self-efficacy. Participants reported high perceived usefulness and ease of use, expressing willingness to replay the game. Qualitative feedback revealed over half felt it enhanced counseling skills (50%) and provided realistic scenarios (50%). Preliminary findings indicate that this educational game enables low-cost, repeated practice of counseling essentials, making it suitable as a preparatory exercise before real-person case simulations. Future enhancements could include increased interactive sophistication and more learning feedback to improve training utility and realism.

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