An Empathetic User-Centric Chatbot for Emotional Support
This addresses the emotional needs of young women in Otome culture by providing interactive support, but it is incremental as it builds on existing game narratives with LLM technology.
The paper tackles the problem of enhancing emotional support in Otome games by integrating Large Language Models (LLMs) into a chatbot for dynamic interactions, resulting in a system that offers realistic companionship through data augmentation and emotional enhancement techniques.
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.