Table 1 Research on the Adaptability and Usage Pathways of GenAI in Museums
From: How generative AI shapes user perceived value and adoption intention in digital museum experiences
Author | Research subject | Main technology | Research contribution |
|---|---|---|---|
Casillo et al.98 | Cultural Heritage in Archaeological Park | Ontology-Driven Chatbots, QA Systems | Ontology-Based Personalized Dialogue for Cultural Tourism Chatbots |
Réby et al.99 | Italian Cultural Heritage | Semantic Web, Linked Data, Knowledge Graph | Italian Cultural Heritage Knowledge Graph for Semantic Linking and Interoperability |
Varitimiadis et al.22 | Museum Chatbots | Graph-Based MAS, Knowledge Graphs, Distributed Collaborative AI | GPT-4 and Knowledge Graph Based Multi-Agent Dialogue Framework |
Song et al.100 | Informal Learning Museum Visitors | AI-Based Recommendation Systems | Impact of Recommender Systems on Heritage Aesthetic Experience |
Li et al.13 | Museum Exhibitions | AI, Immersive Tech, IoT, Cloud Computing | Review of DTT Applications in Museums with AI/VR/AR/IoT Integration |
Izadi and Forouzanfar101 | Intelligent Chatbots | Error Correction, RL/Supervised/Unsupervised Learning, GANs, XAI | Chatbot Error Types, Correction Mechanisms, and Ethical Challenges |
Trichopoulos et al.102 | Museum Visitors | ChatGPT-4 LLM | GPT-4 in Museum Tours with Human-AI Verification Mechanism |
Trichopoulos et al.103 | Museum Visitors | GPT-4 LLM with Context-Aware Fine-Tuning | LLM-Based Personalized Recommendation in Museums |
Tsepapadakis et al.104 | Heritage Site Visitors | Audio AR, Voice Dialogue Systems, IoT | AR, 3D Audio, and Conversational AI for Immersive Audio Tours |
