An Empathetic User-Centric Chatbot for Emotional Support

TL;DR

This paper presents a novel emotionally responsive chatbot integrated into Otome culture games, leveraging large language models to enhance emotional support and dynamic narrative interactions for young women.

Contribution

It introduces a method to augment Otome game narratives with LLM-based QA systems, creating a more empathetic and interactive user experience.

Findings

Enhanced emotional engagement in game interactions

Improved realism and supportiveness of chatbot responses

Successful integration of LLMs into narrative-driven games

Abstract

This paper explores the intersection of Otome Culture and artificial intelligence, particularly focusing on how Otome-oriented games fulfill the emotional needs of young women. These games, which are deeply rooted in a subcultural understanding of love, provide players with feelings of satisfaction, companionship, and protection through carefully crafted narrative structures and character development. With the proliferation of Large Language Models (LLMs), there is an opportunity to transcend traditional static game narratives and create dynamic, emotionally responsive interactions. We present a case study of Tears of Themis, where we have integrated LLM technology to enhance the interactive experience. Our approach involves augmenting existing game narratives with a Question and Answer (QA) system, enriched through data augmentation and emotional enhancement techniques, resulting in a chatbot that offers realistic and supportive companionship.