Immersive Text Game and Personality Classification
Wanshui Li, Yifan Bai, Jiaxuan Lu, Kexin Yi

TL;DR
This paper presents an immersive text-based game that integrates advanced AI models for dynamic storytelling and character interaction, offering novel player experiences in interactive narrative environments.
Contribution
It introduces a new immersive text game leveraging latest AI models for dialogue, reasoning, and psychology, enabling more autonomous and engaging storytelling compared to prior limited-action text games.
Findings
Enhanced player engagement through AI-driven interactions
Integration of multiple AI models for realistic dialogues
Novel game mechanics based on AI and psychology
Abstract
We designed and built a game called \textit{Immersive Text Game}, which allows the player to choose a story and a character, and interact with other characters in the story in an immersive manner of dialogues. The game is based on several latest models, including text generation language model, information extraction model, commonsense reasoning model, and psychology evaluation model. In the past, similar text games usually let players choose from limited actions instead of answering on their own, and not every time what characters said are determined by the player. Through the combination of these models and elaborate game mechanics and modes, the player will find some novel experiences as driven through the storyline.
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Taxonomy
TopicsTopic Modeling
