Display Apparatus Feedback UI for Personalized Content
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Solution Overview
Problem
Current display apparatuses lack the ability to effectively provide users with content recommendations based on user preferences, limiting personalized content experiences and service offerings.
Innovation Solution
A display apparatus with a feedback user interface that utilizes user interaction data and social networking service sharing information to determine user preferences, allowing for dynamic playback control and personalized content recommendations, including a graphical user interface on a time bar and a poll interface based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content providers provide various contents through display apparatus, then content variety and user choices increase, but users cannot efficiently identify contents matching their preferences
Solution Approach 1:
The patent implements a feedback mechanism where user interactions (likes, shares, comments) on content scenes are collected and processed to generate user preference profiles. This feedback loop enables the system to learn user preferences over time and provide personalized content recommendations, resolving the contradiction between content variety and selection efficiency by adapting the interface to individual user needs.
Solution Approach 2:
The system changes the parameter of content recommendation from generic/popular-based to personalized preference-based. By analyzing user interaction data and transforming it into preference parameters, the system dynamically adjusts content recommendations to match individual user preferences, enabling efficient navigation through diverse content offerings.
2Measurement precision
If the system analyzes user interaction information and SNS sharing information to determine user preferences, then content recommendation accuracy improves, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary content analysis system that processes user interaction data and SNS sharing information. This intermediary layer aggregates and analyzes raw data from multiple sources (user likes, shares, comments, SNS activity) to generate refined user preference profiles, reducing the complexity burden on individual display apparatus while improving recommendation accuracy through centralized data processing.
3Ease of operation
If the display apparatus provides feedback UI about contents based on user preference information, then user engagement increases, but interface complexity increases
Solution Approach 1:
The patent applies local quality by providing personalized feedback UI elements specifically at relevant content scenes rather than uniformly across all content. The system identifies key scenes based on user preferences and displays targeted feedback interfaces (such as like buttons, share options, or recommendation prompts) only at those locations, enhancing user engagement without overwhelming the interface with unnecessary complexity throughout the entire content experience.
Data Source
Figure 1~2A
Figure 2B~3B
Figure 3C~4A
AI summary
A display apparatus is disclosed. The display apparatus includes a display to display contents on a screen and a controller to control the display to display a feedback user interface (UI) on the screen which is generated based on a user preference of the contents, and the feedback UI may include at least one of a poll UI which is related to the contents or a control UI that is used to control playback timing of the contents.