PROSPECTIVE ARTIFICIAL INTELLIGENCE (AI) IN ENHANCED MASJID ACCESSIBILITY FOR PERSONS WITH DISABILITIES (PWDS)

Authors

  • AKMAL IBRAHIM Academy of Contemporary Islamic Studies (ACIS), UiTM Shah Alam Branch, Selangor, Malaysia.
  • MOHD AMZARI TUMIRAN Academy of Contemporary Islamic Studies (ACIS), UiTM Shah Alam Branch, Selangor, Malaysia.
  • NUR FARHANI ZARMANI Academy of Contemporary Islamic Studies (ACIS), UiTM Shah Alam Branch, Selangor, Malaysia.

DOI:

https://doi.org/10.55197/qjssh.v6i3.701

Keywords:

artificial intelligence, accessibility, person with disabilities, masjid, future technology

Abstract

The integration of Artificial Intelligence (AI) in enhancing masjid accessibility for Muslim persons with disabilities is a critical aspect of inclusivity in religious spaces. However, implementing such technology solutions presents several obstacles that must be carefully considered and strategically planned. This study aims to review the prospective AI in enhancing the accessibility of PWDs in Masjid. This study utilized content analysis as a methodological approach to investigate and evaluate the challenges and existing trends related to AI applications aimed at improving mosque accessibility for PWDs. This study has identified several prospective AI technologies that can be applied and practical in enhancing Masjid accessibility for PWDs. Some of them include: (a) a vibrotactile stimuli device; (b) audio-visual speech recognition technology; (c) a sign language translator; and (d) QR code scanning for location information. In conclusion, this holistic approach to future research would allow for the ongoing growth of accessible religious places while maintaining the delicate balance of technical innovation and religious authenticity. Such projects would benefit not only the immediate stakeholders but would also contribute to the larger discussion on inclusive religious settings in the modern period.

References

[1] Arif, A., Hussain, S. (2022): An intelligent QR code scanning system for visually-impaired users. – Third International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT) 7p.

[2] Barnawi, N.B., Aksoy, M.S. (2023): Artificial intelligence applications featuring ease and safety factors at the Two Holy Mosques. – Ajrsp 4(47): 17-42.

[3] Berner, K., Alves, A.N. (2021): A scoping review of literature using speech recognition technologies by individuals with disabilities in multiple contexts. – Disability and Rehabilitation: Assistive Technology, 18(7): 1139-1145.

[4] Birkstedt, T., Minkkinen, M., Tandon, A., Mäntymäki, M. (2023): AI governance: themes, knowledge gaps and future agendas. – Internet Research 33(7): 133-167.

[5] Devigne, L., Aggravi, M., Bivaud, M., Balix, N., Teodorescu, C.S., Carlson, T., Spreters, T., Pacchierotti, C., Babel, M. (2020): Power wheelchair navigation assistance using wearable vibrotactile haptics. – IEEE Transactions on Haptics 13(1): 52-58.

[6] Jicol, C., Lloyd-Esenkaya, T., Proulx, M.J., Lange-Smith, S., Scheller, M., O'Neill, E., Petrini, K. (2020): Efficiency of sensory substitution devices alone and in combination with self-motion for spatial navigation in sighted and visually impaired. – Frontiers in Psychology, 11: 17p.

[7] Jöhnk, J., Weißert, M., Wyrtki, K. (2021): Ready or not, AI comes-an interview study of organizational AI readiness factors. – Business & Information Systems Engineering 63(1): 5-20.

[8] Kanvinde, A., Revadekar, A., Tamse, M., Kalbande, D.R., Bakereywala, N. (2021): Bidirectional sign language translation. – International Conference on Communication Information and Computing Technology (ICCICT) 5p.

[9] Kemkar, T., Rai, V., Verma, B. (2023): Sign language to text conversion using hand gesture recognition. – 8th International Conference on Communication and Electronics Systems (ICCES) 7p.

[10] Kubullek, A.K., Dogangün, A. (2023): Creating accessibility 2.0 with artificial intelligence. – Proceedings of Mensch und Computer 5p.

[11] Lee, M., In, H. (2023): Novel wrist-worn vibrotactile device for providing multi-categorical information for orientation and mobility of the blind and visually impaired. – IEEE Access, 11: 111860-111874.

[12] Li, L.H., Yatskar, M., Yin, D., Hsieh, C.J., Chang, K.W. (2019): Visualbert: A simple and performant baseline for vision and language. – ArXiv Preprint 8p.

[13] Merabet, G., Al-Fuqaha, A., Qolomany, B., Anan, M., Essaaidi, M., Benhaddou, D., Qadir, J., Abid, M., Haddou, M. (2021): Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques. – Renewable and Sustainable Energy Reviews 144: 38p.

[14] Moyà-Köhler, J., Doménech, M. (2022): Challenging “The Hands of Technology”: An analysis of independent living for people with intellectual disabilities. – International Journal of Environmental Research and Public Health 19: 12p.

[15] Norkhalid, A.M., Faudzi, M.A., Ghapar, A.A., Rahim, F.A. (2020): Mobile application: mobile assistance for visually impaired people-speech interface system (SIS). – 8th International Conference on Information Technology and Multimedia (ICIMU) 5p.

[16] Obi, Y., Claudio, K.S., Budiman, V.M., Achmad, S., Kurniawan, A. (2023): Sign language recognition system for communicating to people with disabilities. – Procedia Computer Science 216: 13-20.

[17] Obracht-Prondzyńska, H., Duda, E., Anacka, H., Kowal, J. (2022): Greencoin as an AI-Based solution shaping climate awareness. – International Journal of Environmental Research and Public Health, 19(18): 25p.

[18] Ryumin, D., Ivanko, D., Ryumina, E. (2023): Audio-visual speech and gesture recognition by sensors of mobile devices. – Sensors 23(4): 29p.

[19] Wahyuni, S., Lubis, A., Purba, A.F.B. (2023): QR Code generator application to access information on the campus building. – International Journal Of Computer Sciences and Mathematics Engineering, 2(2): 216-224.

Downloads

Published

2025-06-30

Issue

Section

Articles

How to Cite

PROSPECTIVE ARTIFICIAL INTELLIGENCE (AI) IN ENHANCED MASJID ACCESSIBILITY FOR PERSONS WITH DISABILITIES (PWDS). (2025). Quantum Journal of Social Sciences and Humanities, 6(3), 481-488. https://doi.org/10.55197/qjssh.v6i3.701