Location Information Management for Social Availability
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Solution Overview
Problem
Current systems for managing location information do not effectively convey whether a user is currently present or will be present at a location, limiting social networks' understanding of users' availability for meetings.
Innovation Solution
A method and system that determine interaction regions based on a user's current and predicted location, activity, and relationships, allowing for the presentation of these regions on maps to indicate availability for meetings, using sensors and networked devices to monitor and share location information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current location tagging systems are used, then historical location information is provided, but real-time availability and future location information are not conveyed
Solution Approach 1:
The system performs preliminary actions by predicting future locations and activities before they occur. It uses sensor data and machine learning models to anticipate where a user will be and what they will be doing, then shares this predicted information with contacts in advance, enabling them to plan interactions proactively rather than reactively.
Solution Approach 2:
The system transitions from static location tagging to dynamic location prediction. It continuously updates predicted locations and activities based on real-time sensor data, user behavior patterns, and contextual information, making the location information adaptive and responsive to changing conditions rather than fixed and historical.
2Measurement precision
If detailed location monitoring is implemented, then accurate location information is obtained, but user privacy and data security concerns increase
Solution Approach 1:
The system applies local quality by differentiating the level of location information shared with different contacts based on their relationship to the user. It allows users to specify which contacts can access predicted location information and under what conditions, providing fine-grained control over privacy rather than uniform information distribution.
Solution Approach 2:
The system uses partial action by sharing only the necessary portion of location information with each contact rather than all collected data. It provides predicted location and activity information that is sufficient for social planning purposes while excluding sensitive details, achieving the minimum necessary data sharing for the intended function.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, presenting, in a map, an interaction region associated with a user, where the interaction region is determined according to a current location, an activity, a predicted future location, and a predicted future activity of the second user, and according to a relationship between the user and another users, where the interaction region represents a geographic area in which the user is determined to be available to meet with the other user. Other embodiments are disclosed.