AHCI RESEARCH GROUP

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2024

Jones, D.; Grǎcanin, D.; Azab, M.

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

In: Eck, U.; Sra, M.; Stefanucci, J.; Sugimoto, M.; Tatzgern, M.; Williams, I. (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct, pp. 26–28, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 9798331506919 (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. Grǎcanin and M. Azab},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214361441&doi=10.1109%2FISMAR-Adjunct64951.2024.00015&partnerID=40&md5=b7f055514bb6ef0221a1663b11a91c34},

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

isbn = {9798331506919 (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. © 2025 Elsevier B.V., All rights reserved.},

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}

}