Contextual Reply Augmentation Using Relationship Data and Events
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Solution Overview
Problem
Conventional social media and messaging platforms lack the ability to effectively identify and facilitate meaningful interactions between users, particularly due to complex interaction patterns that are suboptimal on mobile devices with limited screen real estate, and fail to leverage events or user characteristics to enhance user engagement.
Innovation Solution
A method and system that identifies relevant users based on relationship data and events, presents call-to-action elements, and allows users to capture and augment digital content using machine learning to recommend contextually relevant content augmentations, reducing the complexity of initiating interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional techniques are used to enable user interactions, then interaction functionality is provided, but the interaction patterns become complex and require multiple steps across multiple user interfaces
Solution Approach 1:
The system pre-identifies relevant users and events before the user needs to initiate an interaction. Relationship data is accessed and events are detected in advance, so when the user views their feed, the information needed to facilitate meaningful interactions is already prepared and presented through call-to-action graphical elements, eliminating the need for complex multi-step search and selection processes
Solution Approach 2:
The system introduces an intermediary layer between the user and the complex underlying systems. By presenting simplified call-to-action graphical elements that encapsulate multiple interaction steps, the system mediates between the user's simple intent and the complex requirements for identifying relevant users, accessing relationship data, and facilitating meaningful interactions
2Adaptability or versatility
If multiple user interfaces are used to enable comprehensive interaction features, then interaction functionality is enhanced, but screen real estate consumption increases and user experience deteriorates
Solution Approach 1:
Multiple interaction features and information are merged into a single integrated feed interface. Relationship data, event detection, and interaction initiation are combined into one unified presentation where users can engage with relevant content without navigating between multiple separate interfaces, thereby reducing screen real estate consumption while maintaining versatility
Solution Approach 2:
The feed interface is designed as a universal container that handles multiple functions: displaying user content, presenting relationship information, identifying relevant events, and providing interaction initiation capabilities. This multi-functional design eliminates the need for separate specialized interfaces for each function, optimizing screen real estate usage
3Productivity
If the system identifies and presents relevant users and events, then user engagement is enhanced, but the system complexity increases
Solution Approach 1:
The system automatically performs user identification and event detection without requiring manual input or complex user configuration. By self-service mechanisms, the system accesses relationship data and detects events autonomously, presenting relevant information through the feed interface to enhance user engagement while keeping the user-side complexity low
Data Source
AI summary
Methods and systems are disclosed that access relationship data of a first user of an interaction system to identify a second user of the interaction system associated with the first user, cause presentation of identification information for the second user within an interaction interface and, responsive to identifying an event pertaining to the second user, cause presentation of a call-to-action graphical element associated with identification information of the second user within the interaction interface. Responsive to detecting user selection of the call-to-action graphical element, the methods and systems invoke an interaction function to facilitate an interaction between the first user and the second user. The interaction function includes at least one of a communication function enabling the first user to communicate digital content to the second user using the interaction system, and an augmentation function enabling the first user to augment the digital content using an augmentation graphical feature.