Τεχνητή Νοημοσύνη και Άτομα με Οπτική Αναπηρία: Εφαρμογές και Τεχνολογίες Προσβασιμότητας – ΔΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ της ΠΑΠΑΕΥΘΥΜΙΟΥ ΣΤΑΥΡΟΥΛΑΣ – ΠΑΝΕΠΙΣΤΗΜΙΟ ΜΑΚΕΔΟΝΙΑΣ, ΠΜΣ ΣΤΙΣ ΕΠΙΣΤΗΜΕΣ ΤΗΣ ΑΓΩΓΗΣ: ΕΙΔΙΚΗ ΑΓΩΓΗ, ΕΚΠΑΙΔΕΥΣΗ ΚΑΙ ΑΠΟΚΑΤΑΣΤΑΣΗ – Μέρος 49ο

 

ΒΙΒΛΙΟΓΡΑΦΙΚΕΣ ΑΝΑΦΟΡΕΣ

 

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing.

 

Amoore, L., & Piotukh, V. (2020). Ethics in AI and assistive technologies: The need for user-centered approaches. AI & Society, 35(4), 1021–1033.

 

Barocas, B., Hardt, M., & Narayanan, A. (2019). Fairness and machine learning.

 

Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. In Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency.

 

Blasch, B. B., Wiener, W. R., & Welsh, R. L. (1997). Foundations of orientation and mobility (2nd ed.). AFB Press.

 

Bourne, R. R. A., Steinmetz, J. D., Flaxman, S., Briant, P. S., Taylor, H. R., Resnikoff, S., … & Vision Loss Expert Group. (2021). Trends in prevalence of blindness and distance and near vision impairment over 30 years: An analysis for the Global Burden of Disease Study. The Lancet Global Health, 9(2), e130–e143.

 

Bragazzi, N. L., Crapanzano, A., Converti, M., Zerbetto, R., & Khamisy-Farah, R. (2021). AI and disability: A systematic scoping review. Medical Journal of Australia, 214(11), 492–498.

 

Brilli, A., Pasqui, V., Ruggeri, M., Muradore, R., & Ulivi, G. (2024). AIris: A wearable AI system for the visually impaired. Technology and Disability, 36(1), 12–28.

 

Brilli, D. D., Georgaras, E., Tsilivaki, S., Melanitis, N., & Nikita, K. (2024, September). Airis: An ai-powered wearable assistive device for the visually impaired. In 2024 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1236-1241). IEEE.

 

Danai Brilli, D., Georgaras, E., Tsilivaki, S., Melanitis, N., & Nikita, K. (2024). AIris: An AI-powered Wearable Assistive Device for the Visually Impaired. arXiv e-prints, arXiv-2405.

 

Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency.

 

Cavoukian, A. (2010). Privacy by design: The 7 foundational principles. Information and Privacy Commissioner of Ontario.

 

Chemnad, K., & Othman, A. (2024). Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review. Frontiers in Artificial Intelligence, 7, 1349668.

 

Costanza-Chock, S. (2020). Design justice: Community-led practices to build the worlds we need. MIT Press.

 

Dakopoulos, D., & Bourbakis, N. G. (2010). Wearable obstacle avoidance electronic travel aids for blind: A survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 40(1), 25–35.

 

Dastbaz, M., Arabnia, H. R., & Akhgar, B. (2019). Technology for smart futures: Social and ethical implications. Springer.

 

Dastbaz, M., et al. (2019). Ethical implications of pervasive assistive technologies. Ethics and Information Technology, 21(2), 99–113.

 

Ellis, K., & Kent, M. (2010). Disability and new media. Routledge.

 

Frauenberger, C., Good, J., & Keay-Bright, W. (2015). Participatory design for children with disabilities. In ACM International Conference on Interaction Design and Children.

 

Goggin, G., & Newell, C. (2007). Disability in Australia: Exposing a social apartheid. UNSW Press.

 

Goggin, G., & Soldatić, K. (2022). Automated decision-making, digital inclusion and intersectional disabilities. Media International Australia, 180(1), 68–83.

 

Gonzalez, C., Paredes, F., & Salinas, P. (2024). AI-based navigation systems for people with visual impairments: A review. Disability and Technology Journal, 8(1), 44–62.

 

Gonzalez, R., Collins, J., Azenkot, S., & Bennett, C. (2024). Investigating Use Cases of AI-Powered Scene Description Applications for Blind and Low Vision People. arXiv preprint arXiv:2403.15604.

 

Guo, A., Bigham, J. P., & Ladner, R. E. (2019). Studying the effectiveness of Aira, a visual interpreting service for blind users. Proceedings of the ACM on Human- Computer Interaction, 3(CSCW), 1–24.

 

Guo, A., Kamar, E., Vaughan, J. W., Wallach, H., & Morris, M. R. (2020). Toward fairness in AI for people with disabilities SBG@ a research roadmap. ACM SIGACCESS accessibility and computing, (125), 1-1.

Hersh, M. A. (2021). Inclusive design for people with visual impairments: A handbook for assistive technology developers. Springer.

 

Jaeger, P. T. (2012). Disability and the internet: Confronting a digital divide. Lynne Rienner Publishers.

 

Kang, J., et al. (2020). Real-time data collection and privacy issues in assistive devices. ACM Transactions on Accessible Computing, 13(4), Article 18.

 

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.

 

Keyes, O., Hutson, J., & Durbin, M. (2019). Predicting the present: Interrogating the biases of algorithmic image tagging. Proceedings of the ACM on Human-Computer Interaction.

 

Koenig, A. J., & Holbrook, M. C. (2000). Foundations of education for blind and visually handicapped children and youth: Theory and practice. AFB Press.

 

LaGrow, S. J., & Weessies, M. J. (1994). Orientation and mobility: Techniques for independence. AFB Press.

 

Lorimer, P. (1996). A critical evaluation of the literary braille code. RNIB.

 

 

Lorimer, P. (1996). A history of the use and innovation of braille technology. British Journal of Visual Impairment, 14(2), 49–52.

 

Messaoudi, M. D., Menelas, B. J., & Mcheick, H. (2022). Review of navigation assistive tools and technologies for the visually impaired. Sensors, 22(20), 7888.

 

Morrison, C., et al. (2021). Co-designing privacy features with disabled communities. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), Article 270.

 

Naayini, N., Singh, V., & Ramaswamy, K. (2025). Tactile AI interfaces for non-visual navigation: Design and ethics. Journal of Assistive Technologies.

 

Naayini, P., Myakala, S., Bura, H., Jonnalagadda, P., & Kamatala, A. (2025). Smart assistive AI devices for the blind: Trends and challenges. International Journal of Accessibility Technologies, 13(2), 100–120.

 

Naayini, R., et al. (2025). Privacy challenges in assistive technologies for visually impaired individuals. Journal of Assistive Technologies, 19(1), 45–60.

 

Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.

 

Pal, J., Lakshmanan, M., & Toyama, K. (2020). Localization and accessibility: Designing inclusive technology for the Global South. In CHI Conference on Human Factors in Computing Systems.

 

Pey, T. (2024, March 15). Blind people excluded from benefits of AI, says charity. The Guardian.

 

Power, M. R., Okolo, E., & O’Donovan, B. (2023). Inclusive AI design for vision accessibility: A socio-technical perspective. AI & Society, 38(1), 155–174.

 

Resnikoff, S., Lansingh, V. C., Washburn, L., Felch, W., Gauthier, T. M., Taylor, H. R., & Eckert, K. (2020). Estimated number of ophthalmologists worldwide: Will we meet the needs? British Journal of Ophthalmology, 104(4), 588–592.

 

Ringel Morris, M. (2019). AI and Accessibility: A Discussion of Ethical Considerations. arXiv e-prints, arXiv-1908.

 

Rosin, J. (2023). Blind internet users struggle with error-prone AI aids. Financial Times.

 

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson Education.

 

Sarfraz, M. S., Constantinescu, A., Zuzej, M., & Stiefelhagen, R. (2017). A multimodal assistive system for helping visually impaired in social interactions. Informatik- Spektrum, 40, 540–545.

 

Shen, Y., et al. (2021). Security and privacy risks in cloud-based assistive technologies. IEEE Transactions on Cloud Computing, 9(3), 1200–1211.

 

Shinohara, K., & Wobbrock, J. O. (2016). Self-conscious or self-confident? A diary study conceptualizing the social accessibility of assistive technology. ACM Transactions on Accessible Computing.

 

Smith, R., & Bowe, F. (2015). Assistive technology and the future of disability services. Journal of Technology in Human Services.

 

Tsouktakou, A., Hamouroudis, A., & Horti, A. (2024). Adaptive learning and AI technologies in inclusive education. International Journal of Inclusive Education Technology, 12(1), 44–61.

 

Tsouktakou, A., Hamouroudis, A., & Horti, A. (2024). The use of artificial intelligence in the education of people with visual impairment. ResearchGate.

 

Voigt, P., & Von dem Bussche, A. (2017). The EU general data protection regulation (GDPR). Springer.

 

Wahab, M. H. A., Helmy, M. T. M., & Talib, A. Z. (2011). A survey on intelligent assistive technologies for visually impaired people. International Journal of Advanced Computer Science and Applications, 2(8), 31–41.

 

Wahab, M. H. A., Talib, A. A., Kadir, H. A., Johari, A., Noraziah, A., Sidek, R. M., & Mutalib, A. A. (2011). Smart cane: Assistive cane for visually-impaired people. arXiv preprint arXiv:1110.5156.

 

Wentz, B., Jaeger, P. T., & Lazar, J. (2011). Retrofitting accessibility: The legal inequality of after-the-fact online access for persons with disabilities in the United States. First Monday, 16(11).

 

World Health Organization. (2019). World report on vision. WHO.

 

Xie, J., Yu, R., Zhang, H., Lee, S., Billah, S. M., & Carroll, J. M. (2024). Emerging practices for large multimodal model (lmm) assistance for people with visual impairments: Implications for design. arXiv preprint arXiv:2407.08882.