HMD Content Filtering via User Profile Rules
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Solution Overview
Problem
Current head-mounted display (HMD) systems lack the ability to effectively control and filter content presented to users, particularly when it is inappropriate or generated by external sources, failing to prevent unsuitable content from being viewed.
Innovation Solution
Implementing a content filtering system that uses user profiles to identify and apply filters to content before presentation, allowing for the modification or removal of inappropriate content and ensuring that only suitable content is rendered on the HMD, based on user preferences and privileges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content filtering based on user profiles is implemented, then content appropriateness is improved, but device complexity increases
Solution Approach 1:
User profiles and filtering rules are established in advance before content is presented. The system pre-configures what content is appropriate for each user based on their profile, eliminating the need for complex real-time analysis during content delivery.
Solution Approach 2:
A content filtering module acts as an intermediary between the content source and the user. This module receives content, applies filtering rules from user profiles, and delivers only appropriate content, simplifying the overall system architecture by centralizing the filtering function.
2Reliability
If dynamic content adjustment is performed during session, then content quality is improved, but processing time increases
Solution Approach 1:
Content is filtered and adjusted in advance during the session setup phase. The system identifies and removes inappropriate content before the user begins interacting, so no real-time processing is needed during the actual content delivery.
Solution Approach 2:
The filtering process is integrated into the content delivery workflow in a seamless manner. Content is continuously monitored and adjusted according to user actions and interactions, maintaining quality without interrupting the user experience or adding noticeable delays.
3Reliability
If content is filtered to allow only from trusted sources, then content safety is improved, but content variety decreases
Solution Approach 1:
Different filtering rules are applied to different content sources based on their trustworthiness. Trusted sources may have relaxed filtering rules allowing more variety, while untrusted sources have stricter rules. This localized approach to filtering maintains safety while preserving content variety from reliable sources.
Solution Approach 2:
The filtering system adjusts parameters such as rating thresholds and content categories based on the trust level of the content source. Trusted sources may have higher rating thresholds and fewer restricted categories, while untrusted sources have lower thresholds and more restrictions, allowing content variety to scale with trustworthiness.
Data Source
AI summary
Methods and systems for filtering content include identifying content for presenting in a rendering space defined by one or more mechanisms of a head mounted display (HMD), wherein the content is interactive, streaming content. A rating score for the content is identified. The content is dynamically adjusted to selectively filter a portion of the content based on a user profile of the user, rating score of the content, and ongoing interactions detected at the content. The adjusted content is formatted for rendering on the HMD. The formatted content is automatically transmitted to the HMD for rendering, in response to the request.