Screen Reader Sensitivity Analysis for Social Networking
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Solution Overview
Problem
Traditional assistive technologies, such as screen readers, fail to proactively alert visually impaired users about the sensitivity levels of messages they intend to post on social networking websites, leading to potential misuse by inadvertently posting private messages to public groups.
Innovation Solution
An enhanced screen reader system that analyzes documents to derive sensitivity levels and conveys this information through vocal characteristics, using Speech Synthesis Markup Language and WAI-ARIA frameworks, and also employs visual cues like different font sizes and colors to alert users before posting, ensuring they understand the intended audience and privacy settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional screen readers are used to read messages to visually impaired users, then the basic text-to-speech function is provided, but the users cannot be proactively alerted about the sensitivity levels or intended audience of the messages
Solution Approach 1:
The system performs preliminary analysis of the document's sensitivity level and intended audience before the user posts the message. The screen reader proactively announces this information to the user in advance, allowing them to make informed decisions about message sharing without adding complex post-processing capabilities.
Solution Approach 2:
The patent introduces an intermediary component that analyzes document metadata (sensitivity level, intended audience) and translates it into audible announcements through the screen reader. This intermediary layer bridges the gap between basic text-to-speech functionality and advanced information delivery without requiring complete system redesign.
2Reliability
If the user tabs to the privacy level to find out where the message will be posted, then the sensitivity information becomes available, but the message may be posted to the wrong audience before the user reads the drop down list
Solution Approach 1:
The system announces the sensitivity level and intended audience information before the user completes the posting action. By providing this information proactively during the message composition phase, the system eliminates the need for users to tab through privacy settings dropdowns, reducing both time loss and the risk of accidental misposting.
Solution Approach 2:
The screen reader provides immediate feedback about the message's intended audience and sensitivity level directly to the user during the composition process. This real-time feedback mechanism allows users to verify posting settings without navigating away from the current screen, preventing errors before they occur.
3Loss of information
If the screen reader announces sensitivity levels using standard text-to-speech, then the information is conveyed, but the distinction between different sensitivity levels is not emphasized
Solution Approach 1:
The patent changes vocal parameters (such as pitch, tone, or speed) based on the document's sensitivity level. For example, higher sensitivity levels might be announced with a more serious or emphasized tone, while lower sensitivity levels use a standard tone. This parameter variation helps visually impaired users distinguish between different sensitivity levels through auditory cues alone.
Data Source
AI summary
An approach is provided that assists visually impaired users. The approach analyzes a document that is being utilized by the visually impaired user. The analysis derives a sensitivity of the document. A vocal characteristic corresponding to the derived sensitivity is retrieved. Text from the document is audibly read to the visually impaired user with a text to speech process that utilizes the retrieved vocal characteristic. The retrieved vocal characteristic conveys the derived sensitivity of the document to the visually impaired user.