Conference

Exploring Presence in Interactions with LLM-Driven NPCs: A Comparative Study of Speech Recognition and Dialogue Options

Combining modern technologies like large-language models (LLMs), speech-to-text, and text-to-speech can enhance immersion in virtual reality (VR) environments. However, challenges exist in effectively implementing LLMs and educating users. This paper …

Towards Authoring Open-Ended Behaviors for Narrative Puzzle Games with Large Language Model Support

Designing games with branching story lines, object annotations, scene details, and dialog can be challenging due to the intensive authoring required. We investigate the potential for authoring open-ended behaviors for point-and-click narrative games …

Large language models for game development: A mapping study on automated code generation

Large Language Models (LLMs) are increasingly utilised in software development, particularly for automatic code generation. Game development, a complex and multidisciplinary field, has begun leveraging LLMs to streamline various stages of the …

Evaluating Quality of Gaming Narratives Co-created with AI

This paper proposes a structured methodology to evaluate AI-generated game narratives, leveraging the Delphi study structure with a panel of narrative design experts. Our approach synthesizes story quality dimensions from literature and expert …

Open-Ended NPC Dialogue Favors Casual Players: A Pilot Comparison of Three LLM-Driven Dialogue Systems

Non-player character (NPC) dialogue plays a crucial role in shaping the player experience in narrativedriven video games, influencing agency, immersion and story engagement. Despite the recent advancements in large language models (LLMs) for dynamic …

AntiCheatPT: A Transformer-Based Approach to Cheat Detection in Competitive Computer Games

Cheating in online video games compromises the integrity of gaming experiences. Anti-cheat systems, such as VAC (Valve Anti-Cheat), face significant challenges in keeping pace with evolving cheating methods without imposing invasive measures on users …

Play-Style Identification Using Low-Level Representations of Play Traces in MicroRTS

Play style identification can provide valuable game design insights and enable adaptive experiences, with the potential to improve game playing agents. Previous work relies on domain knowledge to construct play trace representations using handcrafted …

ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search

There is much interest in using large pre-trained models in Automatic Game Design (AGD), whether via the generation of code, assets, or more abstract conceptualization of design ideas. But so far this interest largely stems from the ad hoc use of …

Exploring the Integration of Cellular Structures in Genetic Programming-Based Methods

The introduction of a Cellular Automata (CA)-like structure on the population of Evolutionary Algorithms (EAs) has been verified to be a method to improve solutions quality. However, the study of CA-like structures for Genetic Programming (GP) has …

God's Innovation Project - Empowering The Player With Generative AI

In this paper, we present God's Innovation Project (GIP), a god game where players collect words to dynamically terraform the landscape using generative AI. A god game is a genre where players take on the role of a deity, indirectly influencing …