Context-Aware Text Display Adaptation via Recognition Difficulty Scoring
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Solution Overview
Problem
Existing information processing technologies struggle to dynamically adjust text presentation based on user context and recognition difficulty, leading to suboptimal readability and user experience.
Innovation Solution
An information processing device and method that calculates a recognition difficulty score based on context data, including user and application contexts, to dynamically control text display units and intervals, ensuring flexible and readable text presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If character information is divided into character groups per predetermined unit and presented with set intervals, then the text can be displayed in an organized manner, but the presentation control cannot fully adapt to various situations and user recognition needs
Solution Approach 1:
The patent implements dynamic text presentation by calculating recognition difficulty scores in real-time based on user context (attention level, task type, device type) and adjusting display units and intervals accordingly. This transforms the static predetermined grouping approach into a dynamic system that adapts to varying user needs and situations, resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The system changes key parameters (display unit size, display interval, character grouping) based on the calculated recognition difficulty score. When recognition difficulty is high, the system increases display intervals and adjusts character grouping to improve readability. This parameter adjustment mechanism enables flexible adaptation to different situations without requiring complete system redesign.
2Ease of operation
If text is displayed with fixed display units and intervals, then the system is simple to implement, but the readability and user experience cannot be optimized for different recognition difficulties
Solution Approach 1:
The system performs self-adjustment by automatically calculating recognition difficulty scores based on user context and autonomously optimizing display parameters. This eliminates the need for manual intervention or complex user configuration, maintaining ease of operation while achieving adaptive readability optimization through automated context-aware processing.
Solution Approach 2:
The system incorporates feedback loops where user context information (attention level, task type, device type) is continuously monitored, recognition difficulty scores are calculated based on this feedback, and display parameters are adjusted accordingly. This closed-loop control mechanism enables automatic readability optimization without increasing operational complexity for the user.
3Adaptability or versatility
If the system calculates recognition difficulty scores based on multiple context factors, then the text display can be highly adaptive, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent segments the context analysis into distinct components: user attention level assessment, task type identification, and device type detection. Each component processes specific aspects of user context independently, and their results are integrated to calculate the final recognition difficulty score. This segmentation reduces processing complexity by breaking down the complex analysis into manageable, independent modules.
Data Source
AI summary
[Object] To achieve displaying of a text in a more flexible and highly readable manner in accordance with a situation.[Solution] According to the present disclosure, an information processing device is provided. The information processing device includes a calculator that calculates, on the basis of context data to be entered, a recognition difficulty score used for display control of a target text. An information processing method is further provided. The information processing method includes allowing a processor to calculate, on the basis of context data to be entered, a recognition difficulty score used for display control of a target text.