Collaboration Event Graph for Time-Sensitive Activity Sorting
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Solution Overview
Problem
Existing collaboration systems fail to effectively present time-sensitive events to users across multiple collaboration groups, limiting user productivity by not providing a comprehensive and timely overview of activities within working groups.
Innovation Solution
A framework is established to collect, sort, and present collaboration events using an event graph data structure, allowing for the display of relevant events across multiple degrees of separation, with user-specific event messages sorted and styled to indicate time-based relevance and requiring immediate action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If collaboration events are collected and presented for multiple users across multiple collaboration groups, then user productivity is enhanced through comprehensive activity overview, but system complexity increases due to multiple degrees of separation and time-based sorting requirements
Solution Approach 1:
The system segments collaboration events by user-specific contexts and collaboration groups, organizing events into distinct categories and degrees of separation. This segmentation allows the complex multi-user event data to be divided into manageable, user-relevant portions that can be processed and displayed efficiently without overwhelming system complexity.
Solution Approach 2:
The system introduces time-based sorting as an additional dimension for organizing collaboration events. By sorting events chronologically within each user context and adding time-relevance styling, the system transforms the complex multi-dimensional event data into an ordered, time-based presentation that enhances productivity while managing complexity through structured organization.
2Loss of information
If time-based sorting and styling is applied to indicate time-based relevance, then information prioritization is improved, but processing time increases
Solution Approach 1:
The system performs preliminary time-based sorting and styling of collaboration events during event collection and storage, rather than performing these operations at the moment of display. By pre-processing and organizing events in time-based order as they are generated, the system reduces the processing time required at display moments while maintaining effective information prioritization through pre-established time-relevance styling.
3Loss of information
If events are presented across multiple degrees of separation between users, then comprehensive collaboration overview is achieved, but data filtering complexity increases
Solution Approach 1:
The system applies local quality by customizing event presentation based on each user's specific context, collaboration group memberships, and degree of separation from event sources. Rather than applying uniform filtering rules, the system tailors the event data filtering and presentation to each user's local context, achieving comprehensive collaboration overviews while managing filtering complexity through user-specific customization.
Data Source
AI summary
Systems and methods for presenting collaboration activity to a particular user are disclosed. A method embodiment commences by recording event records that codify one or more event attributes corresponding to one or more content object access events. The content object access events are associated with two or more users that interact with the content objects. At a later moment in time, a subset of event records is selected, the selection being based at least in part on timestamps of the content object access events. A display order to apply to the selected subset of event records is determined, the order being based at least in part on timestamps of collaboration events arising from the users. Event messages to present in a user interface are generated, and the event messages are then displayed in the user interface in accordance with the display order.