Studying and developing systems that can recognize, express, and “have” emotions is
called affective computing. To create a Computational Model of Emotion (CME), one must …

Large language models (LLMs) offer unprecedented flexibility in procedural generation,
enabling the creation of dynamic video game storylines that evolve with user input. A critical …

This research explores the potential of Large Language Models (LLMs) to utilize
psychometric values, specifically personality information, within the context of video game …

Social emotion refers to the emotion evoked to the reader by a textual document. In contrast
to the emotion cause extraction task which analyzes the cause of the author's sentiments …

The behavior of non-player characters (NPCs) affects player immersion and, by extension,
engagement. A realistic NPC can provide great satisfaction to the completion of the story a …

To enhance immersion and engagement in video games, the design of Affective Non-Player
Characters (NPCs) is a key focus for researchers and practitioners. Affective Computing …

This research introduces Procedural Artificial Narrative using Generative AI (PANGeA), a
structured approach for leveraging large language models (LLMs), guided by a game …

Abstract Affective Artificial Intelligence (AI) has been explored to introduce emotions into non-
player characters (NPCs) and enhance believability. However, there is a gap studying NPCs …

Traditional non-player character dialog systems rely on preset lines, which lack realism and
dynamics and reduce player immersion. This study aims to explore overcoming these …