Work

Real-Time Log-Based Novice Recognition and Dynamic Support System

Year: 2025
Type: article
Abstract: 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, Junhui Kim, Dowon Seo, Jeongmin Hwang, Seungjae Lee
Institution: Sun Moon University
Language: English
Open Access status: diamond
OpenAlex ID: W4415173103
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