Interactive Recommendation Prompts Tuned to Reduce User Interference
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Solution Overview
Problem
Existing human-computer interactive systems often interfere with user operations when initiating content recommendations, lacking an effective method to minimize disruption.
Innovation Solution
A system and method for determining a prompt mode based on user and environmental characteristics to deliver recommended content using various interface and notification modes, such as vibration, voice, and system prompts, minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content recommendation is initiated to a user, then the user receives personalized content suggestions, but the current user operation is interfered with
Solution Approach 1:
The patent implements dynamic prompt mode selection that adapts to real-time user state and environmental conditions. The system dynamically switches between different prompt modes (system prompt, user interface prompt, vibration prompt, voice prompt) based on user characteristics, environmental factors, and presentation data characteristics, thereby reducing interference while maintaining recommendation effectiveness
Solution Approach 2:
The patent changes the parameter of prompt mode to resolve the contradiction. By selecting from multiple prompt modes (system prompt, user interface prompt, vibration prompt, voice prompt) based on user state and environmental conditions, the system adjusts the intervention level to minimize disruption while delivering recommendations
2Object-affected harmful factors
If multiple prompt modes are available, then the system can reduce interference to user operations, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically selecting the appropriate prompt mode based on user characteristics and environmental conditions without requiring manual configuration. The determination module autonomously evaluates multiple factors and selects the optimal prompt mode, reducing the burden on users while managing system complexity internally
Solution Approach 2:
The system uses feedback from user characteristics, environmental conditions, and presentation data to dynamically adjust the prompt mode. This feedback mechanism enables the system to learn and adapt to user preferences over time, optimizing the balance between reducing interference and maintaining recommendation effectiveness
Data Source
AI summary
The present disclosure example discloses a method for displaying an interactive interface of a recommended behavior. The method may include determining a prompt mode according to at least one of recommended content associated with a first user, one or more user characteristics associated with the first user, one or more environmental characteristics of a user terminal associated with the first user, or one or more first presentation data characteristics associated with the user terminal, the prompt mode including at least one of a plurality of system prompt modes of the user terminal, a plurality of user interface prompt modes of the user terminal, a vibration prompt mode of the user terminal, or a voice prompt mode of the user terminal; and prompting the first user for the recommended content based on the prompt mode.