Real-Time Log-Based Novice Recognition and Dynamic Support System
This study proposes Continue AI, an AI support system for novice gamers. To address the problem of novice player attrition in the Vampire Survivors-like genre, we developed a real-time personalized support system that integrates skill classification based on RandomForestClassifier, danger detection with the Danger_score algorithm, and quest generation using Ollama LLM. By implementing efficient real-time communication through a Unity-Python-Redis three-tier architecture and Protocol Buffers, we aim to improve game accessibility for beginners.
Authors
- Jinyoung Maeng
- Jung‐Won Hwang (ORCID: https://orcid.org/0000-0002-0887-6889)
- Junhui Kim
- Seungjae Lee (ORCID: https://orcid.org/0000-0001-5508-8634)
- Dowon Seo
Publication Details
- Journal
- International Journal of Computer Science and Mobile Computing
- Published
- 2025-09-30
- DOI
- https://doi.org/10.47760/ijcsmc.2025.v14i09.007
- Primary Topic
- Embedded Systems and FPGA Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00