Context-Aware Collaboration Tool for Dynamic Workflow Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current collaboration tools require users to structure their needs to fit the tool's fixed topology, which is inflexible and does not align with the user's thought process, especially in changing contexts.
Innovation Solution
A collaboration tool that allows users to select and combine different types of objects (such as people, content, and events) in a fluid and intuitive manner, using a context-aware approach to suggest collaboration actions based on the objects and their context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users follow a fixed workflow structure in collaboration tools, then the tool structure is simplified and easier to implement, but the user experience becomes rigid and does not adapt to changing contexts
Solution Approach 1:
The patent implements a dynamic workflow generation system where the collaboration workflow is not fixed but adapts based on selected objects and detected contexts. The system dynamically determines workflow steps, participants, and actions based on real-time object selection and context detection, transforming the static tool structure into a flexible, adaptive system that responds to user needs.
Solution Approach 2:
The system changes workflow parameters dynamically based on detected contexts and selected objects. Different contexts (e.g., meeting context, chat context, file sharing context) trigger different workflow configurations, participant selections, and action sequences. This parameter adaptation allows the same tool to handle diverse collaboration scenarios without requiring complex manual configuration.
2Ease of operation
If the user interface provides fixed collaboration options, then the interface is simpler to design and operate, but it does not align with the user's thought process
Solution Approach 1:
The system performs self-service by automatically detecting contexts, selecting relevant objects, and generating appropriate workflows without requiring users to manually configure complex settings. The context detection mechanism automatically identifies collaboration scenarios based on selected objects and environmental data, while the workflow generator automatically determines participants and actions, freeing users from manual configuration tasks.
Solution Approach 2:
The interface incorporates feedback loops where the system continuously monitors user actions, selected objects, and detected contexts to adjust the workflow generation in real-time. This feedback mechanism ensures the generated workflow aligns with the user's actual needs and thought process, allowing for iterative refinement of collaboration parameters based on user interaction patterns.
3Productivity
If the system requires users to select specific workloads and communication tools manually, then the system logic is simpler, but the user experience is less intuitive and more friction
Solution Approach 1:
The system performs preliminary actions by pre-configuring workflow templates and collaboration patterns based on detected contexts and historical data. Before the user completes their selection, the system pre-determines likely workflow steps, required participants, and communication channels, reducing the user's selection burden and accelerating collaboration setup while managing system complexity through automated pattern recognition.
Data Source
AI summary
In one example embodiment, a plurality of objects selected by a user on a user interface for a collaboration tool are identified. The plurality of objects include at least two different types of objects. One or more collaboration actions to perform are determined by a computing device based on the types and contextual information for the plurality of objects. The one or more collaboration actions are presented on the user interface. A presented collaboration action is initiated from the user interface.