Mobile Electronic Device Positioning for User-Specific Task Execution
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Solution Overview
Problem
Existing electronic devices lack the ability to determine optimal task execution positions and movement routes based on user preferences and states, leading to low user satisfaction in tasks such as photography, where users may prefer different angles or positions for task execution.
Innovation Solution
An electronic device equipped with a processor and memory that identifies user information and states to determine the most suitable position and movement route for task execution, allowing it to move and orient itself accordingly based on user-specific preferences and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the electronic device executes tasks at fixed positions without considering user preferences, then the device operation is simple, but user satisfaction is low
Solution Approach 1:
The system pre-stores multiple task execution positions and user preference information in advance. When a task is requested, the processor quickly retrieves the appropriate pre-determined position based on user identification, avoiding complex real-time calculations and maintaining simple operation while achieving user-specific adaptation.
Solution Approach 2:
The task execution position is made dynamic and adjustable based on user preferences. The system can adaptively select different positions for different users or even different tasks for the same user, transforming the fixed position system into a flexible, user-adaptive system that enhances versatility without complicating the user interface.
2Adaptability or versatility
If the electronic device determines task execution position based on user state and identification, then user satisfaction is improved, but device complexity increases
Solution Approach 1:
The position determination system is segmented into independent modules: user identification module, state detection module, preference storage module, and position selection module. Each module handles a specific function, reducing the complexity of any single component while achieving comprehensive user-specific adaptation through their coordinated operation.
Solution Approach 2:
The system uses pre-stored copies of task execution positions and user preference data instead of calculating optimal positions in real-time. The processor retrieves appropriate position information from stored data structures, significantly reducing computational complexity while maintaining the capability to provide user-specific task execution positions.
3Manufacturing precision
If the electronic device moves to different positions for different users, then task execution quality is improved, but movement time increases
Solution Approach 1:
Optimal task execution positions are predetermined and pre-stored for different users and task types. When a task is requested, the system immediately retrieves the appropriate pre-calculated position, eliminating the need for time-consuming real-time optimization calculations and enabling rapid movement to the target position while maintaining high task execution quality.
Data Source
AI summary
An electronic device is provided. The electronic device includes at least one processor and a memory. The memory stores instructions that, when executed, cause the at least one processor to identify a task corresponding to a task execution instruction acquired by an input device of the electronic device, identify user information corresponding to the task, identify a target spot of the electronic device for executing the task, based on the task and the user information, with respect to a position of a user corresponding to the identified user information, and control a driving circuit of the electronic device to move the electronic device to the identified target spot.