Feeling the Game: AI-Powered Emotions in Adaptive RPG Dialogues
How can AI make game dialogues feel more natural, expressive, and truly responsive to player intent? This talk explores the power of affective computing and sentiment analysis in RPGs, demonstrating how AI can interpret player input—not just in terms of what is said, but how it is said—to create more immersive and dynamic conversations. We’ll break down traditional and modern AI techniques in games, from behavior trees and reinforcement learning to generative models, and examine their strengths and limitations in building interactive narratives.
A key focus will be on 'constrained freedom'—a balance between rigid dialogue choices and unrestricted text input. While total freedom may seem ideal, it often leads to incoherent NPC responses, narrative inconsistencies, and technical challenges. Constrained freedom offers a structured yet expressive way for players to interact, allowing AI to analyze sentiment and tone while maintaining meaningful, story-driven exchanges.
Beyond the technical aspects, the session will address real-world implementation challenges, ethical considerations, and the future of AI-driven storytelling. Designed for developers of all backgrounds, this talk presents machine learning in an accessible and practical way, showing how AI can enhance player-driven narratives without requiring deep expertise in the field.