Appliance Function Utilization via Usage Analysis and Prompts
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Solution Overview
Problem
Existing user management techniques fail to provide information that facilitates full utilization of appliances with multiple functions, as users are unaware of available features, leading to underutilization of appliance functions.
Innovation Solution
A user management method that stores appliance use information, analyzes it to identify underused functions, and provides users with notices to prompt the use of these functions, incorporating a server device with an appliance information storage unit, use analysis unit, and notice providing unit to enhance functionality awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users are provided with more information about appliance functions, then user engagement and function utilization improve, but system complexity and information processing requirements increase
Solution Approach 1:
The system automatically analyzes appliance use information and generates notifications without requiring manual user input or complex configuration. The server device autonomously processes usage data, identifies underutilized functions, and sends prompts to users, making the system self-serve the information delivery task.
Solution Approach 2:
The system implements a feedback loop by monitoring appliance usage patterns and sending notifications back to users about underutilized functions. This creates a continuous cycle where usage information is collected, analyzed, and used to generate actionable feedback that encourages more comprehensive appliance utilization.
2Measurement precision
If the system monitors and analyzes all appliance functions, then identification of underused functions improves, but data processing time and computational resources increase
Solution Approach 1:
The system extracts only the necessary usage information from appliance data - specifically tracking which functions are used or not used - rather than processing all possible appliance parameters. This selective extraction maintains accurate identification of underutilized functions while reducing overall data processing requirements.
Solution Approach 2:
The system performs partial monitoring focused specifically on function usage patterns rather than comprehensive analysis of all appliance operations. By concentrating only on detecting whether functions are used or not used, the system achieves sufficient measurement precision for the task while minimizing processing time.
Data Source
AI summary
A user management method according to the present disclosure includes: storing (S101) appliance use information including: appliance identification information for identifying an appliance; user information for identifying a user of the appliance; and an operating state of the appliance when the appliance was used; analyzing (S102) the appliance use information stored in the storing (S101) to identify, from among a plurality of functions of the appliance, one or more first functions each having a use frequency less than or equal to a threshold value; and providing (S103) the user with a notice which prompts use of the one or more first functions identified in the analyzing (S102).