Email Accessibility Analysis via Text-to-Speech Conversion
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Solution Overview
Problem
Conventional systems for improving email message readability and open rates do not consider accessibility for recipients using assistive technologies, neglecting the needs of millions with vision impairments and failing to comply with accessibility standards.
Innovation Solution
A method and system that converts email text to audio using a text-to-speech converter, analyzes the audio file, and generates recommendations to improve email design, structure, and content, ensuring accessibility by identifying attributes such as image alt text and audio length, and providing recommendations for better organization and compliance with accessibility standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If email messages are formatted to satisfy accessibility standards, then accessibility and readability are improved, but message design complexity increases
Solution Approach 1:
The system performs preliminary analysis of email messages using text-to-speech conversion and screen reader simulation before the messages are sent. By identifying accessibility issues in advance and providing recommendations, the system enables designers to correct problems before finalizing the message, thus improving accessibility compliance without significantly increasing the complexity of the final design process.
2Ease of operation
If conventional analysis systems focus only on readability and open rates, then message design simplicity is maintained, but accessibility for vision-impaired recipients is neglected
Solution Approach 1:
The system introduces an intermediary analysis layer that converts email text to audio and simulates screen reader experience. This intermediary process allows the system to evaluate accessibility without requiring designers to become experts in accessibility standards, thus maintaining design simplicity while improving accessibility compliance through automated analysis and recommendations.
3Reliability
If email messages are analyzed and improved for accessibility, then compliance with accessibility standards is achieved, but analysis time and processing resources increase
Solution Approach 1:
The system applies partial analysis by focusing on key accessibility attributes such as alt text for images, heading structure, and contrast ratios, rather than analyzing every aspect of the email message. This selective approach achieves sufficient accessibility compliance while minimizing the time and computational resources required for analysis.
Data Source
AI summary
A method for converting text to audio to improve a design of electronic mail messages includes converting, by a text-to-speech converter component executing on a first computing device, an electronic mail message into an audio file. The method includes analyzing, by an analysis engine executing on the first computing device, the electronic mail message, the audio file, and a transcript of the audio file to identify at least one attribute. The method includes receiving, by a recommendation engine executing on the first computing device, an identification of the at least one attribute. The method includes generating, by the recommendation engine, at least one recommendation for improving a design of the electronic mail message, based on the identification of the at least one attribute. The method includes providing, by the first computing device, to a second computing device, the audio file and the generated at least one recommendation.