Feedback Element Selection by Attitude Level for Richer Media Display
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Solution Overview
Problem
The display mode of feedback elements corresponding to thumbs-up operations in livestreaming is relatively single, lacking richness and variety.
Innovation Solution
A method and apparatus that determine the attribute level of an attitude operation, such as a thumbs-up, and select a feedback element from a corresponding material pool to display, ensuring different feedback elements are shown for different attribute levels, enhancing display richness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single feedback element is displayed for thumbs-up operations, then the implementation is simple, but the display mode is single and lacks richness
Solution Approach 1:
The feedback element display is segmented into multiple types (text feedback, image feedback, animation feedback) corresponding to different attribute levels. Each segment handles specific scenarios, allowing the system to provide rich display modes while maintaining manageable complexity through modular organization of feedback types
Solution Approach 2:
The feedback element selection is made dynamic by determining attribute levels based on user interaction patterns (consecutive operations, time intervals). The system adapts the feedback type and content based on real-time user behavior, transforming a static single-feedback system into a dynamic multi-level feedback system that provides richness without requiring complex pre-programming for all scenarios
2Adaptability or versatility
If diverse feedback elements are displayed for different attribute levels, then display richness is improved, but the selection and management complexity increases
Solution Approach 1:
The system changes parameters (attribute levels) based on measurable user interaction data such as the number of consecutive operations and time intervals between operations. By establishing clear parameter thresholds and corresponding feedback rules, the system manages the complexity of diverse feedback selection through quantifiable, objective criteria rather than subjective judgment
Solution Approach 2:
The system implements feedback loops where user interactions are continuously monitored, attribute levels are determined based on accumulated interaction data, and appropriate feedback elements are selected and displayed. This feedback mechanism allows the system to adapt to user behavior patterns while maintaining systematic control over the complexity of feedback element selection through rule-based determination
Data Source
AI summary
A method for displaying a feedback element is performed by a computer device. The method includes: displaying a content presentation interface, the content presentation interface including a target media content; in response to a first attitude operation for the target media content, determining attribute information of the first attitude operation; based on the attribute information of the first attitude operation, obtaining a first feedback element corresponding to the first attitude operation, the first feedback element comprising at least one feedback element uniquely selected from a material pool corresponding to a first attribute level, and the first attribute level referring to an attribute level corresponding to the attribute information of the first attitude operation; and displaying the first feedback element. The technical solutions of this application can improve the richness of display modes of feedback elements corresponding to attitude operations.