Cover Image

Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Dablander, Markus
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)

An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence
by: Rockbach, Jonas D., et al.
Published: (2025)

Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis
by: Kaushik, Abhishek, et al.
Published: (2025)

When Generative Artificial Intelligence meets Extended Reality: A Systematic Review
by: Ning, Xinyu, et al.
Published: (2025)

A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence
by: McCormack, Louise, et al.
Published: (2024)

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
by: Swamy, Vinitra, et al.
Published: (2023)

Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap
by: Sokol, Kacper, et al.
Published: (2025)

Strength Estimation and Human-Like Strength Adjustment in Games
by: Chen, Chun Jung, et al.
Published: (2025)

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
by: Dennler, Nathaniel, et al.
Published: (2025)

Exploring Emotions in Multi-componential Space using Interactive VR Games
by: Somarathna, Rukshani, et al.
Published: (2024)

Generative AI for Visualization: State of the Art and Future Directions
by: Ye, Yilin, et al.
Published: (2024)

Epistemology gives a Future to Complementarity in Human-AI Interactions
by: Ferrario, Andrea, et al.
Published: (2026)

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
by: Zhang, Chen, et al.
Published: (2024)

LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agents
by: Xiao, Chang, et al.
Published: (2024)

A Model for Intelligible Interaction Between Agents That Predict and Explain
by: Baskar, A., et al.
Published: (2023)

Intolerable Risk Threshold Recommendations for Artificial Intelligence
by: Raman, Deepika, et al.
Published: (2025)

KOM: A Multi-Agent Artificial Intelligence System for Precision Management of Knee Osteoarthritis (KOA)
by: Liu, Weizhi, et al.
Published: (2025)

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
by: He, Jinghai, et al.
Published: (2024)

Investigating an Intelligent System to Monitor \& Explain Abnormal Activity Patterns of Older Adults
by: Lee, Min Hun, et al.
Published: (2025)

Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback
by: Xu, Songlin, et al.
Published: (2025)

A Toolkit for Virtual Reality Data Collection
by: Rolff, Tim, et al.
Published: (2024)

Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
by: Chen, Jiayuan, et al.
Published: (2024)

State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living
by: Choi, Juheon, et al.
Published: (2025)

Esports Debut as a Medal Event at 2023 Asian Games: Exploring Public Perceptions with BERTopic and GPT-4 Topic Fine-Tuning
by: Qian, Tyreal Yizhou, et al.
Published: (2024)

Agent-Based Modeling and Deep Neural Networks for Establishing Digital Twins of Secure Facilities under Sensing Restrictions
by: Gunaratne, Chathika, et al.
Published: (2025)

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
by: Park, Joon Sung, et al.
Published: (2024)

CREW: Facilitating Human-AI Teaming Research
by: Zhang, Lingyu, et al.
Published: (2024)

Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts
by: Nag, Prashant Kumar, et al.
Published: (2024)

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
by: Arefeen, Asiful, et al.
Published: (2025)

LLMs for XAI: Future Directions for Explaining Explanations
by: Zytek, Alexandra, et al.
Published: (2024)

Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
by: Nguyen, Elisa, et al.
Published: (2024)

The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
by: Majumdar, Aditya, et al.
Published: (2025)

Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
by: Zhang, Yizhe, et al.
Published: (2023)

How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies
by: Ran, Zihe, et al.
Published: (2025)

MentalGame: Predicting Personality-Job Fitness for Software Developers Using Multi-Genre Games and Machine Learning Approaches
by: Elyasi, Soroush, et al.
Published: (2026)

Ethics and Technical Aspects of Generative AI Models in Digital Content Creation
by: Karagoz, Atahan
Published: (2024)

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
by: Periáñez, África, et al.
Published: (2024)

ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins
by: Hakim, Safayat Bin, et al.
Published: (2025)

A Future Capabilities Agent for Tactical Air Traffic Control
by: Kent, Paul, et al.
Published: (2026)

Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
by: Tekkesinoglu, Sule, et al.
Published: (2024)