Dynamic Location Profile Updates for Mobile Services
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Solution Overview
Problem
Existing location-based services fail to dynamically provide information tailored to specific users based on their location, time, and inputs, lacking the ability to adapt information in real-time and differentiate between users.
Innovation Solution
A method involving user and location profiles, where a mobile device sends location data to a server to generate instructing data, allowing for dynamic task allocation and information delivery based on user inputs, location, and time, enabling personalized information presentation and task management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If location-based services provide information to users, then users receive location-related information, but the information is not dynamically adapted to specific users based on their location, time, and inputs
Solution Approach 1:
The service system segments users into different user groups based on their inputs and characteristics. Each user group receives customized information tailored to their specific needs, location, and time. This segmentation enables the system to provide adaptability without requiring complete customization for every individual user, thus managing complexity while improving versatility.
Solution Approach 2:
The information provided to users is dynamically adapted based on real-time inputs from users, their current location, and time. The service system continuously updates and customizes information delivery according to changing user conditions, making the system both adaptable and responsive to user-specific requirements.
2Loss of information
If the system provides customized information to different users, then information relevance improves, but the system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-segmenting users into groups and preparing customized information templates for each group before actual information delivery. This advance preparation reduces the complexity of real-time information processing while maintaining high relevance to user needs.
Solution Approach 2:
The system creates and maintains templates or copies of information structures for different user groups. These templates can be reused and adapted for multiple users within the same group, reducing the overall complexity of information customization while ensuring each user receives relevant information.
3Adaptability or versatility
If the system updates location profiles based on user inputs, then service personalization improves, but processing time increases
Solution Approach 1:
The system updates location profiles periodically or at specific intervals rather than continuously in real-time. This periodic update approach allows the system to maintain personalized service while reducing the time and computational resources required for profile management.
Solution Approach 2:
Users contribute to their own profile updates by providing inputs that the system uses to automatically refine their location profiles. This self-service mechanism reduces the processing burden on the system while maintaining high personalization levels.
Data Source
AI summary
A location-based service, and in particular location-based services involving mobile devices. With the disclosed method it is possible to provide individual information at a certain location to individual users, wherein the information may be based on a location profile that may be updated depending on inputs of the user itself or other users.