Time-Period Playlist Interface With Privacy-Safe Usage Metrics
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Solution Overview
Problem
Existing electronic devices face challenges in providing user-friendly and privacy-compliant time period-based curated playlists, particularly in managing personally identifiable information and enhancing user interaction efficiency.
Innovation Solution
The implementation of user interfaces that enable time period-based curated playlists on electronic devices, incorporating touch-sensitive displays and surfaces, which allow for intuitive interaction and privacy management through touch-based inputs and outputs, ensuring compliance with privacy policies and minimizing unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If time period-based curated playlists are automatically generated using playback activity, then user interaction efficiency is improved and user experience is enhanced, but privacy risks increase due to collection and processing of personally identifiable information
Solution Approach 1:
The patent extracts and separates personally identifiable information from the playlist generation process. Instead of using direct PII, the system extracts anonymized playback activity patterns and time period data to generate curated playlists, thereby maintaining user interaction efficiency while removing harmful privacy risks through data separation and anonymization
Solution Approach 2:
The patent introduces an intermediary layer between user playback activity and playlist generation. This intermediary processes and anonymizes the raw playback data, creating aggregated time period-based statistics that enable curated playlist generation without exposing or storing personally identifiable information, thus resolving the privacy risk while maintaining functionality
2Ease of operation
If personally identifiable information is collected for playlist generation, then user experience is enhanced through personalized recommendations, but unauthorized access risks increase
Solution Approach 1:
The patent extracts only the necessary time period-based playback patterns from raw user data, eliminating personally identifiable information from the storage and processing pipeline. This extraction approach maintains personalized user experience through pattern recognition while removing the target of unauthorized access attempts
Solution Approach 2:
The patent transforms raw personally identifiable information into aggregated time period parameters and anonymized playback statistics. This parameter transformation maintains the functional capability for personalized recommendations while changing the data format to eliminate identification risks and unauthorized access vectors
Data Source
AI summary
In some embodiments, an electronic device receives, via one or more input devices, an input corresponding to a request to display a user interface associated with a first respective content mix, wherein the first respective content mix is associated with a first respective time period. In some embodiments in response to receiving the input corresponding to the request to display the user interface associated with the first respective content mix, the electronic device displays, via a display, the user interface. In some embodiments, the user interface includes a plurality of representations of content items including visual indications of amounts of consumption, of a first consumption metric type, by a user during the first respective time period, and a plurality of representations of content creators including visual indications of consumption, of a second consumption metric type, by the user during the first respective time period.