A Game-Based Home Visit Training for Long-Term Care Personnel Integrating SVVR Scenario Exploration and Generative AI Interaction

Author Information

Yu-Xiang Lin, 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

This study simulates the real process of conducting home visits and creates an educational game that combines SVVR (situational virtual reality exploration) with generative AI. The game integrates environmental observation with communication during interviews with elderly people. The goal of the game is for participants to role-play as newly hired LTC staff, assigned by a supervisor to carry out their first home visit. During the visit, participants must explore the environment, gather information from the elder, and then summarize and analyze what they find. In the end, they need to use observation, communication, and information integration skills to report back to the supervisor on whether the elder’s condition matches their actual situation. The game involves participants moving through various SVVR rooms, clicking objects to access text/images, and utilizing visitation skill-improvement tips. A Generative AI simulates the elder, imposing a time limit for interaction, information collection, and confirmation. Google Docs functions as the simulated record forms typically completed by LTC staff during visits. The preliminary study involved 20 professional LTC workers in Taiwan (aged 28 to 39). Results showed that participants had significantly higher flow experience scores compared to the median (3 points). Their anxiety scores were also above the median. For cognitive load, extraneous load was significantly lower than the median, while germane load was significantly higher. Overall, the game design fostered a positive flow experience for participants without inducing excessive learning anxiety. Its ease of use and effectiveness in skill practice were highlighted.

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