Portable Device Non-Tactile Input for Recommendation Generation
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Solution Overview
Problem
Traditional methods for providing recommendation messages, such as lottery number recommendations, require manual user input, which is cumbersome and time-consuming.
Innovation Solution
A method and system using portable electronic devices with sensors to detect non-tactile user inputs, such as movement, voice, or light, to generate and display recommendation messages based on predefined rules, allowing for automated and intuitive input processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user input is used for generating recommendation messages, then the system can obtain user preferences, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The patent replaces manual mechanical input (keyboard typing) with automatic sensor-based detection systems. Accelerometers, gyroscopes, and other sensors automatically detect user actions like device shaking, swaying, or tilting, and convert these physical movements into recommendation messages without requiring manual keyboard input, thus resolving the contradiction between ease of operation and time consumption
Solution Approach 2:
The system enables self-service by allowing the device itself to automatically generate recommendation messages through its built-in sensors. The device detects user actions autonomously and generates recommendations without requiring external manual input, making the system serve itself and eliminating the time-consuming manual input process
2Productivity
If traditional recommendation systems are used, then the process is simple, but it requires manual user input which is cumbersome
Solution Approach 1:
The patent implements preliminary action by pre-configuring the device with multiple sensors (accelerometers, gyroscopes, light sensors) and predefined detection rules before user interaction. When a user action occurs, the system can immediately process and generate recommendations without requiring manual input setup, thus improving productivity while maintaining ease of operation
Solution Approach 2:
The patent introduces sensor-based detection as an intermediary between user action and recommendation generation. Instead of direct manual input to the system, sensors act as mediators that automatically capture user actions and translate them into system-processing-ready data, improving both productivity and ease of operation
Data Source
AI summary
A portable electronic device for presenting a recommendation message is described. The device includes display; one or more processors; and memory storing one or more programs for execution by the one or more processors. The device detects a trigger event based on a user input, the trigger event initiating a receipt of non-tactile user input; and, in response to detecting the trigger event, receives non-tactile user input. The device generates one or more character strings based on the non-tactile user input and one or more predefined string generation rules. Each character string of the one or more character strings includes multiple characters. The device generates a recommendation message that includes the one or more character strings; and displays the recommendation message on the display. A corresponding method and a computer readable storage medium storing one or more programs for execution by the portable electronic device are also described.