Customized Manual Generation for Electronic Devices
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Solution Overview
Problem
Advanced electronic devices provide complex manuals that users find difficult to navigate, as recommendations for functions and settings often do not align with individual user preferences or usage patterns, leading to limited utilization of device features.
Innovation Solution
An electronic device with a communication circuit, memory, and processor that collects usage history from user devices within a group, selects preferred functions based on this data, and generates a customized manual for each user, allowing for personalized recommendations and improved device usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a comprehensive manual with all device functions is provided, then the manual covers all possible operations, but the manual becomes complicated and difficult for users to navigate
Solution Approach 1:
The manual is segmented into customized portions based on user profiles, usage history, and device information. Instead of presenting all functions at once, the system divides the comprehensive manual into relevant sections tailored to each user's needs, making navigation easier while maintaining comprehensive coverage across different user groups
Solution Approach 2:
The system performs preliminary analysis of user profiles, usage history, and device information before generating the manual. By pre-processing this data to identify relevant functions and settings, the system can generate customized manuals that are ready for immediate use without requiring users to navigate through unnecessary content
2Adaptability or versatility
If generic function recommendations are provided, then the recommendations cover general use cases, but the recommendations do not align with individual user preferences or usage patterns
Solution Approach 1:
The recommendation system applies local quality by providing different recommendations to different user groups based on their specific usage patterns and preferences. Each user receives customized recommendations that reflect their local context and needs, rather than uniform generic recommendations for all users
Solution Approach 2:
The system uses usage history as feedback to continuously improve recommendations. By analyzing how users actually interact with the device and manual, the system refines future recommendations to better align with individual user preferences and usage patterns
Data Source
AI summary
An electronic device is provided and includes a communication circuit, a memory, and a processor connected to the communication circuit and the memory. The memory may store instructions causing, upon being executed, the processor to store a usage history in the memory, the usage history collected from a plurality of user devices registered in a user device group through the communication circuit, to receive device information indicating functions of a first user device in the user device group from the first user device or a second user device in the user device group through the communication circuit, to select a function to be recommended to a user from among the functions of the first user device, based on at least the usage history, to generate a customized manual to allow the user to use the recommended function of the first user device, and to transmit, to the first user device or the second user device through the communication circuit, the customized manual or recommendation information for recommending the customized manual to the user.