Terminal Emotion Analysis for Accurate Information Push
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Solution Overview
Problem
Current information push methods in terminals rely on user input of text information followed by server processing, which may not accurately reflect user emotions, leading to inefficient data interactions and increased server burden.
Innovation Solution
An information push method that obtains text information and associated input process information, including response duration, input duration, and focus switch operations, to generate push information based on user emotion analysis, thereby improving accuracy and reducing server interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the server processes only text information without input process information, then the server burden is reduced, but the accuracy of push information decreases
Solution Approach 1:
The terminal device performs preliminary analysis of input process information (response duration, input duration, focus switch operations) and generates user emotion information before sending it to the server. This preliminary processing reduces the server's computational burden while ensuring that emotion-based push information accuracy is maintained, as the terminal has already filtered and structured the relevant data.
Solution Approach 2:
User emotion information acts as an intermediary between raw input process information and push information generation. The terminal extracts emotion characteristics from input behaviors (typing speed, pause duration, deletion operations) and transmits this distilled information to the server, which then uses it to generate accurate push content without needing to analyze raw input data directly.
2Measurement precision
If the system collects detailed input process information, then user emotion accuracy improves, but data interaction complexity increases
Solution Approach 1:
The system extracts only the essential features from input process information that are relevant to user emotion (response duration, input duration, focus switch operations). By filtering out unnecessary data and keeping only the critical parameters that indicate user emotional state, the system maintains high emotion recognition accuracy while reducing data interaction complexity.
Solution Approach 2:
Different input process parameters are collected with different levels of detail based on their relevance to emotion recognition. For example, response duration and input duration are measured precisely as they directly reflect user emotional state, while other less relevant parameters are either not collected or collected with lower precision, optimizing the balance between accuracy and complexity.
3Productivity
If the server generates push information without considering user emotion, then the processing speed is faster, but the relevance of push information to user needs decreases
Solution Approach 1:
User emotion information is prepared in advance by the terminal device based on input process analysis, so when the server receives the request, it already has the emotion context needed to generate relevant push information quickly. This preliminary preparation eliminates the need for the server to perform complex emotion analysis, maintaining fast processing speed while ensuring push information relevance.
Data Source
AI summary
An information push method and apparatus, and an information sending method and apparatus are provided. The information push method includes: obtaining text information sent by a terminal, and obtaining input process information corresponding to the text information. The input process information includes at least one of: response duration, input duration and focus switch operation information associated with a process that a user of the terminal enters the text information. The method also includes obtaining first user emotion information corresponding to the input process information. The first user emotion information characterizes an emotion state in the process of inputting the text information by the user. The method also includes generating push information according to the text information and the first user emotion information, and sending the push information to the terminal.