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NoSightInbox: A Voice-Driven Email System with Pattern-Based Authentication for Visually Impaired Users
Subject area: Science,Engineering and Technology · Area of research: Technology
Abstract
This paper presents NoSightInbox, a voice-first email management system designed to reduce reliance on visual interfaces and traditional keyboard input for visually impaired users. Built with the MERN stack (MongoDB, Express, React, Node.js), NoSightInbox integrates the Web Speech API for Speech-to-Text (STT) and Text-to-Speech (TTS) to enable end-to end voice interaction [4]. It introduces a novel click-pattern authentication mechanism?comprising left/right clicks, double clicks, and long-press gestures?as an accessible alternative to alphanumeric passwords, hashed with bcrypt and managed via JWT sessions [15][16]. The system features voice-guided navigation, speech-driven email composition, and audio feedback for all interactions, following WCAG 2.2 AA principles and ARIA best practices [3][8]. In a preliminary evaluation with visually impaired participants, NoSightInbox reduced task completion time compared to screen reader?based email workflows, achieved high voice recognition accuracy in quiet conditions, and was positively received on usability measures (SUS) and perceived workload (NASA-TLX) [21][22]. We discuss strengths, limitations (e.g., browser compatibility, noise sensitivity), and implications for accessible interface design. This work demonstrates the feasibility and benefits of a voice-first, pattern authenticated email client and outlines directions for enhancing robustness, personalization, and multilingual support.
Keywords
Accessibility; Assistive Technology; Human-Computer Interaction; Web Speech API; Speech Recognition; Pattern Authentication; MERN Stack; Email Systems; Inclusive Design
References
[1] World Health Organization. Blindness and vision impairment. 2023. https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment
[2] WebAIM. Screen Reader User Survey. 2024. https://webaim.org/projects/screenreadersurvey/
[3] W3C. Web Content Accessibility Guidelines (WCAG) 2.2. 2023. https://www.w3.org/TR/WCAG22/
[4] MDN Web Docs. Web Speech API.
[5] Chen, L., et al. Voice-Based Interaction for Visually Impaired Users: A Review. 2022.
[6] Lazar, J., et al. Ensuring Digital Accessibility through Process and Policy. Morgan Kaufmann, 2015.
[7] Shneiderman, B., et al. Designing the User Interface. 6th ed. Pearson, 2016.
[8] W3C. WAI-ARIA Authoring Practices. https://www.w3.org/WAI/ARIA/apg/
[9] Oulasvirta, A., et al. Long-press as a user interface technique. CHI EA, 2013.
[10] Bonneau, J., Herley, C., Van Oorschot, P., Stajano, F. The Quest to Replace Passwords. IEEE Security & Privacy, 2012.
[11] Trewin, S. Knowledge-Based Authentication and Accessibility. ACM TACCESS, 2014.
[12] WICG. Speech Recognition in Chrome. https://wicg.github.io/speech-api/
[13] React. Accessibility. https://react.dev/learn/accessibility
[14] Mongoose Documentation. https://mongoosejs.com/
[15] JSON Web Tokens (JWT). https://jwt.io/
[16] bcrypt. https://github.com/kelektiv/node.bcrypt.js
[17] Bootstrap. Accessibility. https://getbootstrap.com/docs/5.3/getting-started/accessibility/
[18] U.S. General Services Administration. Section 508 Standards. https://www.section508.gov/
[19] W4A: Web for All. https://www.w4a.info/
[20] ACM SIGACCESS. https://www.sigaccess.org/
[21] Brooke, J. SUS: A quick and dirty usability scale. Usability Evaluation in Industry, 1996.
[22] Hart, S. G., & Staveland, L. E. Development of NASATLX: Results of empirical and theoretical research. In Advances in Psychology, 1988.
How to cite this paper
@article{1712652,
author = {Vinayak Tiwari, Samridhi, Devashree Maity, Priyanshi Gupta},
title = {NoSightInbox: A Voice-Driven Email System with Pattern-Based Authentication for Visually Impaired Users},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {615-620},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712652.pdf},
abstract = {This paper presents NoSightInbox, a voice-first email management system designed to reduce reliance on visual interfaces and traditional keyboard input for visually impaired users. Built with the MERN stack (MongoDB, Express, React, Node.js), NoSightInbox integrates the Web Speech API for Speech-to-Text (STT) and Text-to-Speech (TTS) to enable end-to end voice interaction [4]. It introduces a novel click-pattern authentication mechanism?comprising left/right clicks, double clicks, and long-press gestures?as an accessible alternative to alphanumeric passwords, hashed with bcrypt and managed via JWT sessions [15][16]. The system features voice-guided navigation, speech-driven email composition, and audio feedback for all interactions, following WCAG 2.2 AA principles and ARIA best practices [3][8]. In a preliminary evaluation with visually impaired participants, NoSightInbox reduced task completion time compared to screen reader?based email workflows, achieved high voice recognition accuracy in quiet conditions, and was positively received on usability measures (SUS) and perceived workload (NASA-TLX) [21][22]. We discuss strengths, limitations (e.g., browser compatibility, noise sensitivity), and implications for accessible interface design. This work demonstrates the feasibility and benefits of a voice-first, pattern authenticated email client and outlines directions for enhancing robustness, personalization, and multilingual support.},
keywords = {Accessibility; Assistive Technology; Human-Computer Interaction; Web Speech API; Speech Recognition; Pattern Authentication; MERN Stack; Email Systems; Inclusive Design},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1712652}
}