Implementation of Generative AI Technology for Enhanced Board Game Services

Abstract

This study aims to improve the board game service process at the Office of Academic Resources (Central Library), Chulalongkorn University, through the application of Generative AI technology to enhance service efficiency and speed for users. The implementation is divided into six stages: 1) Problem identification 2) Data collection and concept gathering related to the problem 3) Solution design 4) Planning and problem-solving implementation, development of GPTs: CULibrary_Board Game system 5) Testing, evaluation, and system improvement and 6) Real-world implementation in the board game service area. The implementation findings indicated that, in terms of data accuracy and currency, GPTs: CULibrary_Board Game improved board game service efficiency. It also contributed to a decrease in staff operational mistakes and a rise in user comfort of service access. The customer satisfaction survey indicated that the two scores were the perception of advantages for board game service use and the simplicity of the non-complex user interface. Consequently, the Office of Academic Resources, Chulalongkorn University, can efficiently manage and reduce service discrepancies, with the system achieving an accuracy rate of no less than 80% in terms of precision, completeness, and content relevance. The application of Generative AI in the board game service at the Office of Academic Resources (Central Library), Chulalongkorn University, not only elevates service efficiency but also supports sustainable organizational development in the digital era. The Office of Academic Resources plans to expand the application of this technology to other missions to further enhance operational efficiency.