Information Processing Apparatus Predicting Search Conditions
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Solution Overview
Problem
Users face frustration and time wastage when searching for content in a content management system as they may not find intended content even after repeatedly modifying search conditions, leading to a lack of motivation to stop the search process.
Innovation Solution
An information processing apparatus that predicts subsequent user input conditions and executes a search based on these predictions, presenting search results to assist users in deciding whether to continue or stop their search.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user repeatedly modifies search conditions to find intended content, then the search coverage is improved, but the time consumed and user frustration increase
Solution Approach 1:
The system performs preliminary actions by predicting future search conditions and executing searches under those predicted conditions in advance, before the user actually inputs those conditions. This allows the system to have search results ready when the user needs them, reducing the time the user spends repeatedly modifying search conditions.
Solution Approach 2:
The system provides feedback to the user by presenting search results under predicted conditions, helping the user understand what results are available without having to manually try multiple search conditions. This feedback loop reduces user frustration and allows the user to make informed decisions about whether to continue or stop searching.
2Reliability
If the user gradually changes search conditions to find intended content, then the search thoroughness is improved, but the user motivation decreases and time is wasted
Solution Approach 1:
The system performs self-service by automatically predicting search conditions and executing searches without requiring continuous user input and manual condition modification. The system serves itself by generating and testing search conditions autonomously, then presenting results to the user, thereby maintaining user motivation by reducing the operational burden.
Solution Approach 2:
The system executes searches under predicted conditions in advance, preparing results before the user needs them. This preliminary action ensures comprehensive search coverage is achieved automatically, allowing the user to see results without the frustration of gradually modifying conditions, thus maintaining motivation.
3Device complexity
If the system only searches based on user input conditions, then the system simplicity is maintained, but the search assistance capability is limited
Solution Approach 1:
The system changes search parameters by predicting future search conditions and executing searches with those predicted parameters. This allows the system to go beyond the simple execution of user-input conditions while maintaining a relatively simple overall architecture. The parameter changes are driven by prediction algorithms that analyze user behavior patterns.
Solution Approach 2:
The system enhances its adaptability by implementing a feedback mechanism where search results under predicted conditions are presented to users. This feedback loop allows the system to learn from user interactions and improve its prediction accuracy over time, increasing search assistance capability without proportionally increasing system complexity.
Data Source
AI summary
An information processing apparatus includes a processor configured to predict a condition to be subsequently input by a user from an input condition that is a condition of a search input by the user, search for a content based on the input condition and a prediction condition obtained by prediction, and execute a process of presenting details of the search of the content based on the prediction condition in a case where the content is not found in the search based on the input condition.