AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

How to

Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.

Show all

2024

Jones, D.; Gračanin, D.; Azab, M.

Augmented Reality Research: Benefit or Detriment for Neurodiverse People Proceedings Article

In: U., Eck; M., Sra; J., Stefanucci; M., Sugimoto; M., Tatzgern; I., Williams (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct, pp. 26–28, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-833150691-9 (ISBN).

Abstract | Links | BibTeX | Tags: Anonymity, Attention Deficit, Augmented Reality, Benefit/risk, Cyber Attack, Cyber attacks, Cyber Defense, Cyber-attacks, Cyber-defense, Language Model, Model training, Potential risks, Privacy invasions, Quality of life, Training data

@inproceedings{jones_augmented_2024,

title = {Augmented Reality Research: Benefit or Detriment for Neurodiverse People},

author = {D. Jones and D. Gračanin and M. Azab},

editor = {Eck U. and Sra M. and Stefanucci J. and Sugimoto M. and Tatzgern M. and Williams I.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214361441&doi=10.1109%2fISMAR-Adjunct64951.2024.00015&partnerID=40&md5=c2e684986face0f49335d711fecf58c2},

doi = {10.1109/ISMAR-Adjunct64951.2024.00015},

isbn = {979-833150691-9 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct},

pages = {26–28},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The intersection of technology and innovation has always been a double-edged sword for humanity, offering both profound benefits and potential risks. This paper examines the positive and negative impacts of augmented reality (AR) and generative artificial intelligence (GAI) on neurodiverse users (NDU). While AR, coupled with large language models (LLM), has the potential to revolutionize the diagnosis and training environments for NDUs, inherent biases in LLM training data, which predominantly reflects neurotypical user (NTU) content, pose significant risks. These biases can result in environments and interactions that are less accessible and potentially harmful to NDUs. The paper explores the implications of these biases, including the possibility of privacy invasion and the misuse of technology for diagnosing undiagnosed NDUs, leading to severe personal and professional consequences. The study advocates for industry-wide collaboration to mitigate these biases, develop NDU-specific datasets, and create secure AR frameworks that safeguard the neurodiverse population while enhancing their quality of life. © 2024 IEEE.},

keywords = {Anonymity, Attention Deficit, Augmented Reality, Benefit/risk, Cyber Attack, Cyber attacks, Cyber Defense, Cyber-attacks, Cyber-defense, Language Model, Model training, Potential risks, Privacy invasions, Quality of life, Training data},

pubstate = {published},

tppubtype = {inproceedings}

}

Chandrashekar, N. Donekal; Lee, A.; Azab, M.; Gracanin, D.

Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms Journal Article

In: Information (Switzerland), vol. 15, no. 12, 2024, ISSN: 20782489 (ISSN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, Critical infrastructures, Cyber attacks, Cyber security, Cyber systems, Cyber-attacks, Cybersecurity, Decisions makings, Digital infrastructures, digital twin, Extended reality, Gamification, Immersive, Network Security, simulation, Technical vulnerabilities, Training, user behavior, User behaviors

@article{donekal_chandrashekar_understanding_2024,

title = {Understanding User Behavior for Enhancing Cybersecurity Training with Immersive Gamified Platforms},

author = {N. Donekal Chandrashekar and A. Lee and M. Azab and D. Gracanin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213435167&doi=10.3390%2finfo15120814&partnerID=40&md5=134c43c7238bae4923468bc6e46c860d},

doi = {10.3390/info15120814},

issn = {20782489 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Information (Switzerland)},

volume = {15},

number = {12},

abstract = {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 cyber attacks, adds complexities that current behavioral studies fail to capture adequately. Existing approaches, including theoretical models, game theory, and simulators, rely on retrospective data and static scenarios. These methods often miss the real-time, context-specific nature of user responses during cyber threats. To address these limitations, this work introduces a framework that combines Extended Reality (XR) and Generative Artificial Intelligence (Gen-AI) within a gamified platform. This framework enables continuous, high-fidelity data collection on user behavior in dynamic attack scenarios. It includes three core modules: the Player Behavior Module (PBM), Gamification Module (GM), and Simulation Module (SM). Together, these modules create an immersive, responsive environment for studying user interactions. A case study in a simulated critical infrastructure environment demonstrates the framework’s effectiveness in capturing realistic user behaviors under cyber attack, with potential applications for improving response strategies and resilience across critical sectors. This work lays the foundation for adaptive cybersecurity training and user-centered development across critical infrastructure. © 2024 by the authors.},

keywords = {Artificial intelligence, Critical infrastructures, Cyber attacks, Cyber security, Cyber systems, Cyber-attacks, Cybersecurity, Decisions makings, Digital infrastructures, digital twin, Extended reality, Gamification, Immersive, Network Security, simulation, Technical vulnerabilities, Training, user behavior, User behaviors},

pubstate = {published},

tppubtype = {article}

}