Dynamic Electronic Group Formation via Proximity and Contact Data
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Solution Overview
Problem
The formation of electronic groups, especially with members not already in an existing contact list, is burdensome due to the need for numerous interactions and administrative inputs, including invitation preparation, permission settings, and managing overlapping or transient group memberships.
Innovation Solution
The use of location information and contact list data to dynamically form and reform electronic groups based on proximity and temporal criteria, with a signature system to identify and manage group membership, allowing for automatic addition or invitation of proximate devices and their contacts, and enabling peer-to-peer communication without requiring a dedicated server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual invitation and administrative processes are used to form electronic groups, then group membership can be established, but the process becomes burdensome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically identifying potential group members based on proximity detection and contact list data before group formation is initiated. This pre-processing of member identification eliminates the need for manual invitation preparation and administrative input during the actual group formation process.
Solution Approach 2:
The system enables self-service by allowing electronic devices to automatically detect proximity, identify candidate members from contact lists, and form groups without requiring manual administrative intervention. The devices serve themselves by autonomously completing tasks that would otherwise require human effort, such as member identification and invitation management.
2Adaptability or versatility
If electronic groups allow dynamic membership with overlapping members, then flexibility is improved, but administrative complexity increases
Solution Approach 1:
The system uses feedback mechanisms to automatically detect proximity changes and dynamically adjust group membership accordingly. When devices enter or leave proximity zones, the system receives feedback about these changes and automatically updates group composition, eliminating the need for manual administrative management of dynamic membership and overlapping groups.
Solution Approach 2:
The system implements dynamic group formation where membership is automatically adjusted based on real-time proximity detection. Groups can form, modify, and dissolve automatically as devices move in and out of proximity zones, providing flexibility and adaptability without requiring administrative intervention to manage changing membership.
Data Source
AI summary
Methods, computer readable media, and electronic devices are provided for forming an electronic group by determining that a plurality of electronic devices satisfy at least one proximity criterion; determining a plurality of candidate members for the electronic group according to contact list information for at least one of the plurality of electronic devices; and forming the electronic group from the plurality of candidate members.


