DivyaPay: Bridging the Digital Divide
Abstract
The last two decades have witnessed remarkable technological inventions and advancements for solving the problems of humanity, thereby boosting the economy of the nation. Unfortunately, the avenue that deals with mitigating the hassles and challenges faced by people with disabilities or divyangjan, particularly in the financial field, is less explored. Nowadays, online transactions have become a necessity with the introduction of the Unified Payment Interface System, but people with physical disabilities lack the privilege to enjoy such a facility. This work proposes a system for divyangjans named DivyaPay, which is a Smartphone application for online payment built using Google’s Flutter Framework and written using Dart Language. The App has primarily two interfaces for two different categories of disabilities: Biometric Authentication for a Visually Impaired person and FaceID Authentication for an Amputee. The presence of a haptic feedback system provides a better user experience. The smart voice navigation facility helps the visually impaired person to navigate through the App easily. Various payment APIs like Razorpay, Stripe, etc. can be integrated for a faster, smoother, and secured payment transaction. Thus, the proposed system, which targets to fulfill United Nations Sustainable Development Goals of Decent Work, Economic Growth and Reduced Inequalities, promotes the vision of Digital India amidst the physically disabled community by aiding them in performing cashless transactions safely and in a secured manner.
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References
Akshay Sharma. (2014). An Assistive Reading System for Visually Impaired Using OCR and TTS. International Journal of Computer Applications (0975-8887), vol. 95, no. 2, pp. 13-18.
Angga, P. A., Fachri, W. E., Elevanita, A., & Agushinta, R. D. (2015). Design of chatbot with 3D avatar, voice interface, and facial expression. International Conference on Science in Information Technology (ICSITech), 2015, pp. 326-330.
Anusuya, M. A., & Katti, S.K.. (2010). Speech Recognition by Machine, A Review. International Journal of Computer Science and Information Security, vol. 6, no. 9, pp. 181-205.
Burri, R. (2018, October). Improving user trust towards conversational chatbot interfaces with voice output, Degree Project in Information and Communication Technology, Human-Computer Interaction and Design, pp. 1-32.
Donker, H., Klante, P., & Gorny, P. (2002, October). The design of auditory user interfaces for blind users. In Proceedings of the second Nordic conference on Human-computer interaction, pp. 149-156.
Fawthrop, A. (2019, March 4). Voice payments set to drive a new era of commerce for Amazon Pay. https://www.ns-businesshub.com/science/voice-payments-amazon-pay/
Hoffman, L. J., Lawson-Jenkins, K., & Blum, J. (2006). Trust beyond security: an expanded trust model. Communications of the ACM, vol. 49, pp. 95-101.
Huda Ubaya. (2012). Design of Prototype Payment Application System With Near Field Communication (NFC) Technology based on Android. Computer Engineering and Applications Journal, vol. 1, no. 1, pp. 1-12.
Kaklanis, N., Votis, K., Moustakas, K., & Tzovaras, D. (2010, April). 3D HapticWebBrowser: towards universal web navigation for the visually impaired. In Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A), pp. 1-2.
McLaughlin, M. L., Hespanha, J., & Sukhatme, G. (2002). Haptic collaboration over the internet. Touch in virtual environments: Haptics and the design of interactive systems. Prentice-Hall.
Nguyen, M. H. (2017). The latest market research, trends and landscape in the growing AI Chatbot Industry.
Payments pioneer launches Voice Pay transactions. Biometric Technology Today, vol. 15, pp. 2-3.
Powell, C., Reeves, C., & Zajicek, M. (1998). A web navigation tool for the blind. in ASSETS, pp. 204-206.
Press Information Bureau (2019, November 23). NSS report no. 583: Persons with Disabilities in India NSS 76th round (July – December 2018). https://pib.gov.in/Pressreleaseshare.aspx?PRID=1593253
Samuel, I., Ogunkeye, F. A., Olajube, A., & Awelewa, A. (2020, November). Development of a Voice Chatbot for Payment Using Amazon Lex Service with Eyowo as the Payment Platform. In 2020 International Conference on Decision Aid Sciences and Application (DASA), pp. 104-108, IEEE.
Sanjana, B., & RejinaParvin, J. (2016). Voice assisted text reading system for visually impaired persons using TTS method. IOSR Journal of VLSI and Signal Processing, vol. 6, no. 3, pp. 15-23.
Teaupa, A. (2015, March 5). UK businesses miss out on £1.8 billion a month as disabled people 'walk away' from poor service. https://news.cision.com/business-disability-forum/r/uk-businesses-miss-out-on--1-8-billion-a-month-as-disabled-people--walk-away--from-poor-service,c9734625
Vandana, A., Rani, J., Goud, V. A., Kishor, M. C., Reddy, K., & Murthy, R. (2019). A study of chatbots through artificial intelligence. Journal of Applied Science and Computational Science, vol. 6, no. 1, pp. 341–354.
World Health Organization (2021, November 24). Disability and health. https://www.who.int/news-room/fact-sheets/detail/disability-and-health
Wong, E. J., Yap, K. M., Alexander, J., & Karnik, A. (2015, August). HABOS: Towards a platform of haptic-audio based online shopping for the visually impaired. In 2015 IEEE Conference on Open Systems (ICOS), pp. 62-67, IEEE.