Dynamic Audio Guidance for Web Document Usability
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Solution Overview
Problem
Website visitors often struggle to understand the functionality of websites due to confusion from the options and information presented, and existing solutions like help pages or videos may not effectively address this issue.
Innovation Solution
A method for creating content-adapted multimedia guidance for web documents using a decision graph logic, which analyzes dynamic components to generate a flow dataset, builds an audio sequence from stored audio segments, and plays it on the client terminal when specific trigger events occur, providing guidance through audio and visual elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If help pages or videos are provided to explain website functionality, then user understanding may improve, but user engagement and interaction remain low
Solution Approach 1:
The system provides automated personalized guidance that serves itself by analyzing user behavior patterns and automatically selecting relevant content, eliminating the need for users to manually search help pages or videos. The guidance system proactively identifies user needs based on their interactions with the website and delivers tailored information without requiring active user participation in content selection.
Solution Approach 2:
The guidance system dynamically adapts to user behavior in real-time, adjusting the type, timing, and content of guidance based on observed user actions. Rather than presenting static help pages or pre-recorded videos, the system continuously evolves its guidance approach based on individual user patterns, making the interaction more responsive and engaging.
2Ease of manufacture
If static help pages are provided, then information is easily accessible, but the guidance is not personalized to individual user needs
Solution Approach 1:
The system changes multiple parameters of the guidance delivery including timing, content selection, format, and presentation style based on analyzed user behavior parameters. It adjusts guidance characteristics dynamically to match individual user preferences, learning patterns, and interaction styles, thereby achieving high personalization while maintaining ease of access.
Solution Approach 2:
The system continuously monitors user behavior feedback and uses this information to refine and adapt guidance delivery. By analyzing how users interact with the website and responding to their actions, the system creates a feedback loop that progressively improves personalization accuracy while keeping the guidance accessible and relevant to each user's specific needs.
3Quantity of substance
If pre-recorded videos are used for guidance, then comprehensive information can be provided, but the guidance cannot respond to real-time user actions
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns and pre-identifies potential guidance needs before users actually require assistance. By anticipating user actions and preparing relevant guidance content in advance, the system can respond instantly when triggers occur, maintaining both comprehensive information coverage and real-time responsiveness without relying on pre-recorded videos.
Data Source
AI summary
A method of creating content adapted multimedia guidance for a web document, comprising: analyzing location and type of dynamic components in a web document for the creation of a flow dataset, that maps at least one trigger node representing a user initiated trigger event and at least one action node linked to the trigger node and representing instruction to present guidance related to one of the dynamic components in response to the user initiated trigger event; identifying a loading event during which the web document is loaded on a client terminal of a user; extracting at least one generated value from the dynamic components; building an audio sequence associated with the action node by selecting audio segments according to the generated value and arranging the audio segments according to the flow dataset; and when the trigger is activated, playing the audio sequence on the client terminal.