Spontaneous Event Context Detection via Media Flow Analysis
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Solution Overview
Problem
Managing shared media content during impromptu social gatherings is challenging due to unclear start and end times and lack of organization in online social networks, making it difficult for participants to coordinate and share content effectively.
Innovation Solution
A system that allows users to create a group for spontaneous events, automatically determining start and end times based on the flow of media content and messages, and uses location data from mobile devices to define event locations, enabling seamless sharing and annotation of media content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users share media content during impromptu social gatherings, then user participation and engagement are enhanced, but managing and organizing the shared content becomes difficult and confusing
Solution Approach 1:
The patent segments the shared media content into distinct groups based on detected events. Each event creates a separate container for related media content, photos, and messages. This segmentation transforms the overwhelming task of managing all shared content into manageable event-specific collections, resolving the contradiction between enhanced user participation and difficult content management.
Solution Approach 2:
The system performs preliminary actions by automatically detecting events and creating event groups before users need to manually organize content. The server proactively analyzes media content, messages, and location data to identify events and pre-organize related content into event-specific groups, eliminating the need for users to manually sort through all shared content.
2Ease of operation
If the system automatically determines event start and end times, then event organization is improved, but the system complexity increases
Solution Approach 1:
The system implements self-service by automatically analyzing shared media content, messages, and location data to detect events and determine start/end times without user intervention. The server autonomously processes the data flow, identifies event patterns, and creates event groups with appropriate timeframes, reducing system complexity while improving ease of operation.
Solution Approach 2:
The system uses feedback from the flow of shared media content and messages to automatically determine event timing. By monitoring the rate and pattern of content sharing, the server can infer event start and end times, creating an automated feedback loop that organizes events without increasing system complexity.
3Measurement precision
If location data is used to define event locations, then event context accuracy is improved, but user privacy concerns increase
Solution Approach 1:
The system applies partial action by using location data selectively and only to the extent necessary for event detection. Rather than continuously tracking or storing detailed location information, the system uses location data temporarily and partially to determine if users are co-located during an event, then discards the specific location details, thus improving event context accuracy while minimizing privacy intrusion.
Data Source
AI summary
A device, system, and method are directed towards determining a start and/or an end time for a spontaneous event. A mobile device user creates a group for the spontaneous event, and sends the members an invite. During the event, members share media content and/or text messages with other members. Based, in part, on a flow of media content and/or text messages between the members, a determination of a start time and/or end time of the spontaneous event is automatically performed. The start time may be based on when the group is created and/or revised when a flow rate of the media content and/or messages exceed a threshold. The end time may be based on the flow rate being less than another threshold. The location of the spontaneous event may also be determined based on a location of the member's mobile devices during the event.