Design and Preliminary Evaluation of a Generative AI-Supported Scenario-Based Travel Planning Training Game with Simulated Dialogues (90391)
Saturday, 22 February 2025 16:00
Session: Poster Session
Room: Conference Hall 1 (3F)
Presentation Type: Poster Presentation
In tourism education, developing the professional skill of customer demand-oriented travel planning is essential. However, the diverse and complex nature of customer needs often makes it challenging to simulate realistic customer service scenarios in the classroom due to limitations in classroom space, a lack of realistic role-playing, or restricted interaction time. Therefore, this study designs an online scenario-based interactive simulation game that utilizes scenario-driven Generative AI (GAI) Non-Player Character (NPC) technology to create two highly interactive NPC customers with personalized needs. Learners can interact with these two NPCs through dialogue to understand different customer needs. The above design is expected to enhance the realism and challenge of the dialogues, to strengthen students' learning experience in the simulated environment.
The study participants were 21colledge students, all aged 20 or older, from a university in Taiwan. Quantitative data results indicated that learners' scores for flow experience, learning motivation, and p received game fidelity were significantly higher than the median (i.e., 3) on a 5-point Likert scale, and their activity anxiety scores were lower than 3. In addition, qualitative feedback showed that 61% of learners found the dialogue content of GAI NPCs to be realistic, and 57% of learners interacting with GAI NPCs helped them understand the needs of travelers. The two AI characters in the game exhibited high realism, surpassing the authenticity of general-purpose GPT models. The realistic nature of the two AI characters made learners feel as if they were interacting face-to-face with real travelers, enhancing their sense of immersion.
Authors:
Yen-Ting Ho, Ming Chuan University, Taiwan
Chih-Chung Chien, National Taiwan University of Science and Technology, Taiwan
Pei-Ching Ngu, National Taiwan University of Science and Technology, Taiwan
Huei-Tse Hou, National Taiwan University of Science and Technology, Taiwan
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