Automated Gadget Selection for Social Activity Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of enterprise social software face frustration and inefficiency due to the lack of awareness by contributing sources about available embedded experience gadgets, leading to suboptimal gadget selection for performing actions related to events in activity streams.
Innovation Solution
A method and system that detect the selection of an event in an activity stream, determine the level of intersection between the event and known gadgets, and associate the optimal embedded experience gadget based on this analysis, ensuring the most appropriate gadget is displayed for user actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the embedded experience gadget is determined by the originating system or third party source, then the gadget selection process is simple and fast, but the selected gadget may not be appropriate or useful to the user
Solution Approach 1:
The system automatically selects and assigns the most relevant embedded experience gadget to each event in the activity stream without requiring user intervention. The gadget selection is performed autonomously by analyzing event attributes and matching them with appropriate gadgets from the available pool, thereby resolving the contradiction between simple fast selection and user satisfaction.
2Ease of operation
If the user has to search for a more appropriate gadget, then the user can find the most suitable gadget for their needs, but the user experience becomes frustrating and inefficient
Solution Approach 1:
The system performs preliminary analysis of events and pre-selects the most appropriate embedded experience gadgets before the user needs to interact with them. By analyzing event attributes and matching them with suitable gadgets in advance, the system eliminates the need for users to search through multiple options, thereby resolving the contradiction between ease of operation and time loss.
3Device complexity
If contributing sources are not aware of all available gadgets, then the system maintains simplicity in gadget assignment, but the selected gadget may not align with user needs or event context
Solution Approach 1:
The system introduces an intermediary mechanism that acts as a mediator between events and gadgets. This intermediary component analyzes event attributes and automatically selects the most appropriate gadgets from the available pool, thereby resolving the contradiction between simple assignment mechanisms and adaptable gadget selection that meets user needs.
Data Source
AI summary
A method for selecting an embedded experience gadget may include displaying an activity stream of a user on a social network, the activity stream comprising a plurality of events and detecting selection of an event from the plurality of events by the user. The method may also include determining a level of intersection between the selected event and each of a plurality of known gadgets and finding an optimal embedded experience gadget from the plurality of known gadgets based on the level of intersection between the selected event and each known gadget. The method may additionally include associating the optimal embedded experience gadget with the selected event and displaying the optimal embedded experience gadget in association with the selected event.