.png){kind=icon}
.png){kind=icon}
Return
From discriminative pipelines to collaborative generative agents: A scoping review of AI-driven adaptive serious games
.png){kind=icon}
PRE
AI
DOI：10.1016/j.entcom.2026.101167.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A CIPC-based scoping review analyzes 61 Adaptive Serious Game studies. • Identifies a shift from discriminative models to LLM-driven generative agents. • Reveals safety lags in high-risk, ill-structured health and wellbeing tasks. • Proposes CGAS: a reference architecture integrating LLMs, HITL, and ethics.
Journal
IF:
2.4
Papers:
287
Citations:
1.3K