24 citations · 36 across the 21 of their papers we have counts for
22 papers
A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting
Ibrahim Khan, Thai Van Nguyen, Yi Xia +5
This paper proposes Role-Enhanced Zero-Shot Chain-of-Thought (RE-ZS-CoT), a prompting framework that systematically integrates domain-specific expert roles to enhance reasoning in…
Reusing Multimodal Agents: Efficient Evaluation of Sound Designs in Games
Thai Nguyen Van, Ibrahim Khan, Mury Fajar Dewantoro +3
This paper introduces a novel framework for efficiently evaluating in-game sound designs using multimodal learning and reinforcement learning. Sound design significantly influences…
SENSE: State-aware Emotion Navigation Storytelling Engine
Yi Xia, Pablo Carrasco Velo, Mudit Paliwal +5
This paper presents SENSE, a state-aware framework for generating playable branching visual novels with multi-track emotional navigation. Integrating a state-based narrative archit…
Emoception: Selective Affective Layer Fine-Tuning of Video Vision Transformers for Player Arousal Change Recognition From Gameplay Footage
Yi Xia, Ibrahim Khan, Mury Fajar Dewantoro +2
This article proposes Selective Affective Layer Fine-Tuning (SALFT), an efficient adaptation framework for Video Vision Transformers in player arousal recognition from gameplay. To…
Multiverse of Greatness: Generating Story Branches with LLMs
Pittawat Taveekitworachai, Chollakorn Nimpattanavong, Mustafa Can Gursesli +3
This paper presents Dynamic Context Prompting/Programming (DCP/P), a novel framework for interacting with LLMs to generate graph-based content with a dynamic context window history…
Enhanced DareFightingICE Competitions: Sound Design and AI Competitions
Ibrahim Khan, Chollakorn Nimpattanavong, Thai Van Nguyen +2
This paper presents a new and improved DareFightingICE platform, a fighting game platform with a focus on visually impaired players (VIPs), in the Unity game engine. It also introd…
Fighting Game Adaptive Background Music for Improved Gameplay
Ibrahim Khan, Thai Van Nguyen, Chollakorn Nimpattanavong +1
This paper presents our work to enhance the background music (BGM) in DareFightingICE by adding adaptive features. The adaptive BGM consists of three different categories of instru…
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
Pittawat Taveekitworachai, Febri Abdullah, Mury F. Dewantoro +5
This paper presents the second ChatGPT4PCG competition at the 2024 IEEE Conference on Games. In this edition of the competition, we follow the first edition, but make several impro…
Large Language Models are Null-Shot Learners
Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas
This paper presents null-shot prompting. Null-shot prompting exploits hallucination in large language models (LLMs) by instructing LLMs to utilize information from the "Examples" s…
Achieving Fairness in DareFightingICE Agents Evaluation Through a Delay Mechanism
Chollakorn Nimpattanavong, Thai Van Nguyen, Ibrahim Khan +3
This paper proposes a delay mechanism to mitigate the impact of latency differences in the gRPC framework--a high-performance, open-source universal remote procedure call (RPC) fra…
Improving Data Transfer Efficiency for AIs in the DareFightingICE using gRPC
Chollakorn Nimpattanavong, Ibrahim Khan, Thai Van Nguyen +3
This paper presents a new communication interface for the DareFightingICE platform, a Java-based fighting game focused on implementing AI for controlling a non-player character. Th…
Adaptive Background Music for a Fighting Game: A Multi-Instrument Volume Modulation Approach
Ibrahim Khan, Thai Van Nguyen, Chollakorn Nimpattanavong +1
This paper presents our work to enhance the background music (BGM) in DareFightingICE by adding an adaptive BGM. The adaptive BGM consists of five different instruments playing a c…
ChatGPT4PCG Competition: Character-like Level Generation for Science Birds
Pittawat Taveekitworachai, Febri Abdullah, Mury F. Dewantoro +3
This paper presents the first ChatGPT4PCG Competition at the 2023 IEEE Conference on Games. The objective of this competition is for participants to create effective prompts for Ch…
A Deep Reinforcement Learning Blind AI in DareFightingICE
Thai Van Nguyen, Xincheng Dai, Ibrahim Khan +2
This paper presents a deep reinforcement learning agent (AI) that uses sound as the input on the DareFightingICE platform at the DareFightingICE Competition in IEEE CoG 2022. In th…
DareFightingICE Competition: A Fighting Game Sound Design and AI Competition
Ibrahim Khan, Thai Van Nguyen, Xincheng Dai +1
This paper presents a new competition -- at the 2022 IEEE Conference on Games (CoG) -- called DareFightingICE Competition. The competition has two tracks: a sound design track and…
Toward a Minecraft Mod for Early Detection of Alzheimer's Disease in Young Adults
Satoko Ito, Ruck Thawonmas, Pujana Paliyawan
This paper proposes a Minecraft-based system for early detection of Alzheimer's disease in young adults. Early detection, where spatial navigation is a crucial key, is regarded as…
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
Christoph Salge, Claus Aranha, Adrian Brightmoore +15
The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper cont…
Towards An Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG
Zhou Fang, Pujana Paliyawan, Ruck Thawonmas +1
This paper presents an integration of a game system and the art therapy concept for promoting the mental well-being of video game players. In the proposed game system, the player p…
A Personalized Method for Calorie Consumption Assessment
Yunshi Liu, Pujana Paliyawan, Takahiro Kusano +2
This paper proposes an image-processing-based method for personalization of calorie consumption assessment during exercising. An experiment is carried out where several actions are…
Adaptive Motion Gaming AI for Health Promotion
Pujana Paliyawan, Takahiro Kusano, Yuto Nakagawa +2
This paper presents a design of a non-player character (AI) for promoting balancedness in use of body segments when engaging in full-body motion gaming. In our experiment, we settl…
Procedural Generation of Angry Birds Levels using Building Constructive Grammar with Chinese-Style and/or Japanese-Style Models
YuXuan Jiang, Misaki Kaidan, Chun Yin Chu +2
This paper presents a procedural generation method that creates visually attractive levels for the Angry Birds game. Besides being an immensely popular mobile game, Angry Birds has…
Image Colorization Using a Deep Convolutional Neural Network
Tung Nguyen, Kazuki Mori, Ruck Thawonmas
In this paper, we present a novel approach that uses deep learning techniques for colorizing grayscale images. By utilizing a pre-trained convolutional neural network, which is ori…