Usage-History-Based Input Proposals for Information Systems
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Solution Overview
Problem
Existing information processing systems often teach users unnecessary input means, leading to user discomfort and failure to utilize more convenient options due to lack of awareness or motivation, especially with system updates adding new input methods.
Innovation Solution
A proposal device that acquires user command inputs and suggests alternative input means, such as voice commands, based on usage history to enhance utility and convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system teaches users about voice input or gesture input as alternatives to button operation, then the user can utilize the information processing system more smoothly, but some users may find the teaching bothersome when it is not necessary or when the preferred input means is different for each user
Solution Approach 1:
The system monitors user input behavior and provides feedback by proposing alternative input means only when the user's usage pattern indicates a need. The proposal is made based on real-time detection of button operations followed by analysis of usage history to determine appropriateness, creating a closed-loop feedback mechanism that adapts to individual user needs.
Solution Approach 2:
The system serves itself by automatically analyzing user usage history and determining when to propose alternative input means. Instead of requiring manual configuration or user-initiated learning, the system autonomously identifies opportunities for improvement based on observed behavior patterns, reducing the burden on users while maintaining personalization.
2Adaptability or versatility
If the system periodically updates with new input means, then more convenient input methods are added to the system, but existing users may not notice the addition and lose the opportunity to use the more useful input means
Solution Approach 1:
The system performs preliminary analysis of usage history before proposing alternative input means. By pre-processing user behavior data and identifying patterns that indicate readiness for new input methods, the system prepares personalized proposals in advance, ensuring users are informed about new capabilities at the appropriate moment rather than being overwhelmed by system updates.
3Reliability
If the system provides frequent teaching about input means, then users are informed about available options, but the unnecessary teaching deteriorates the comfort of the user
Solution Approach 1:
The system applies different teaching strategies to different users based on their individual usage patterns. Instead of uniform frequent teaching, the system analyzes local characteristics of each user's behavior to determine when proposals are appropriate, making the teaching frequency and content adaptive to individual needs rather than applying a one-size-fits-all approach.
Data Source
AI summary
A proposal device (100) according to an embodiment of the present disclosure includes an acquisition unit (131) configured to acquire a first command input by a user to an information processing system, and a proposal unit (132) configured to propose, in a case where the first command is acquired by the acquisition unit, use of a second command using an input means different from the first command to the user based on a usage history of the user for the information processing system. The proposal unit determines whether or not to propose the use of the second command to the user based on a usage history of the user regarding processing executed by the first command or the second command.