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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
RESULT ANALYSIS
1. Accessibility Features Analysis
Ø Text-to-Speech:
• Adoption Rate: 75% of users utilized this feature regularly, especially those with visual impairments.
• Feedback: High satisfaction due to adjustable speed and tone options.
• Improvement Areas: Users requested more natural-sounding voices and multilingual support.
Ø Adjustable Text Size and High-Contrast Modes:
• Usage: 62% of users customized these settings.
• Impact: Improved readability and engagement, particularly for users with dyslexia and low vision.
• Feedback: Additional colour theme options were suggested for better personalization.
Ø Voice Commands:
• Adoption Rate: Moderate at 45%, primarily among users with motor disabilities.
• Feedback: Some users reported inconsistent recognition, especially with accents or background noise.
2. Inclusivity Assessment
Ø Content Representation:
• 92% of the articles featured diverse perspectives, covering gender, ethnicity, and disability-related issues.
• Inclusive language was praised but required occasional refinement to avoid unintentional bias.
Ø User Demographics:
• App adoption spanned various age groups, with significant traction among users aged 25–45.
• Users with disabilities made up 48% of the user base, reflecting the platform's accessibility focus.
FUTURE SCOPE
1. Enhanced Accessibility through Emerging Technologies
Ø AI-Powered Enhancements:
• AI-generated audio descriptions for complex images, charts, and infographics in real-time.
• Advanced Natural Language Processing (NLP) to create more human-like and multilingual text-to-speech (TTS) voices.
• Real-time captioning powered by AI for live news, ensuring greater accuracy and reduced latency.
Ø Wearable Devices:
• Integration with smart glasses (e.g., AR glasses) to display captions or sign language overlays for videos.
• Audio-to-haptic converters in wearables to notify users of breaking news via vibrations or patterns.
Ø Haptic Technology:
• Advanced haptic devices to provide tactile feedback for navigation and alerts.
• Braille screens that dynamically display news content for visually impaired users.
2. Greater Personalization
Ø Behavioural AI:
• AI that learns individual accessibility needs and automatically configures the interface (e.g., preferred text size, themes, or
TTS speed).
• Hyper-personalized content curation, considering user preferences, disabilities, and cultural context.
Ø Inclusive Multilingual Features:
• AI-driven translation to make captions, TTS, and sign language interpreters available in multiple languages, breaking
language barriers globally.
IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 299