Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms DOI Creative Commons

Nikitha Donekal Chandrashekar,

A. Maughan Lee, Mohamed Azab

et al.

Information, Journal Year: 2024, Volume and Issue: 15(12), P. 814 - 814

Published: Dec. 18, 2024

In modern digital infrastructure, cyber systems are foundational, making resilience against sophisticated attacks essential. Traditional cybersecurity defenses primarily address technical vulnerabilities; however, the human element, particularly decision-making during attacks, adds complexities that current behavioral studies fail to capture adequately. Existing approaches, including theoretical models, game theory, and simulators, rely on retrospective data static scenarios. These methods often miss real-time, context-specific nature of user responses threats. To these limitations, this work introduces a framework combines Extended Reality (XR) Generative Artificial Intelligence (Gen-AI) within gamified platform. This enables continuous, high-fidelity collection behavior in dynamic attack It includes three core modules: Player Behavior Module (PBM), Gamification (GM), Simulation (SM). Together, modules create an immersive, responsive environment for studying interactions. A case study simulated critical infrastructure demonstrates framework’s effectiveness capturing realistic behaviors under attack, with potential applications improving response strategies across sectors. lays foundation adaptive training user-centered development infrastructure.

Language: Английский

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

Frederik Roland Christiansen,

Linus Nørgaard Hollensberg,

Niko Bach Jensen

et al.

Published: Sept. 22, 2024

Language: Английский

Citations

3

Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments DOI

Jorde Stojanov,

Lazaros Rafail Kouzelis, Ourania Spantidi

et al.

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 199 - 211

Published: Jan. 1, 2025

Language: Английский

Citations

0

Exploring Large Language Model-Driven Agents for Environment-Aware Spatial Interactions and Conversations in Virtual Reality Role-Play Scenarios DOI
Ziming Li, Huadong Zhang, Chao Peng

et al.

Published: March 8, 2025

Language: Английский

Citations

0

EvAlignUX: Advancing UX Evaluation through LLM-Supported Metrics Exploration DOI
Qingxiao Zheng,

M. Chen,

Pranav Sharma

et al.

Published: April 24, 2025

Language: Английский

Citations

0

Social Simulation for Everyday Self-Care: Design Insights from Leveraging VR, AR, and LLMs for Practicing Stress Relief DOI
Anna Fang, Hriday Chhabria,

Alekhya Maram

et al.

Published: April 24, 2025

Language: Английский

Citations

0

Exploring the Impact of Avatar Representations in AI Chatbot Tutors on Learning Experiences DOI
Chek Tien Tan, Indriyati Atmosukarto, Budianto Tandianus

et al.

Published: April 24, 2025

Language: Английский

Citations

0

An interactive system for 3D spatial relationship query by integrating tree-based element indexing and LLM-based agent DOI
Ang Li, Peter Kok-Yiu Wong, Xingyu Tao

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 66, P. 103375 - 103375

Published: May 8, 2025

Language: Английский

Citations

0

Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI DOI Open Access
Mirjana Prpa, Giovanni Maria Troiano, Bingsheng Yao

et al.

Published: Nov. 11, 2024

Synthetic personae and data powered by artificial intelligence (AI) are emerging in many HCI areas, including education training, gaming, piloting research studies. Recently, Large Language Models (LLMs) have shown promise for synthetic AI personae, experimenting with human social simulacra producing data. This presents challenges opportunities extending via LLMs AI. In this proposed workshop, we engage researchers interested working LLMs, through speculative design visions, desiderata, requirements future engaging personae/data. The outcomes of workshop may be disseminated to the community scientific publications or special issues facilitate continued discussion advance knowledge on a timely topic.

Language: Английский

Citations

1

"Let’s ask what AI thinks then!": Using LLMs for Collaborative Problem-Solving in Virtual Environments DOI

Esen Küçüktütüncü,

Lisa Izzouzi

2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Journal Year: 2024, Volume and Issue: unknown, P. 193 - 198

Published: Oct. 21, 2024

Language: Английский

Citations

1

XRAI-Ethics: Towards a Robust Ethical Analysis Framework for Extended Artificial Intelligence DOI
Lorenzo Stacchio, Roberto Pierdicca, Marina Paolanti

et al.

2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Journal Year: 2024, Volume and Issue: unknown, P. 214 - 219

Published: Oct. 21, 2024

Language: Английский

Citations

0