Dynamic Video Chat Notification System Using Segmentation
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Solution Overview
Problem
Conventional video chat systems lack dynamic notification techniques that provide adequate information to invitee users about the details of video chat sessions, leading to inefficient user engagement and participation.
Innovation Solution
A computer-implemented technique that determines a notification medium and level for video chat invitations based on the type of invitee device, number of invitee users, and video chat attributes such as muted status, social network connection, and calendar settings, using a server to deliver notifications via appropriate channels like sound, messages, or social network streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional telephone call-style notifications are used for video chat invitations, then the notification system remains simple and uniform, but invitee users receive no additional information about the video chat session details
Solution Approach 1:
The notification system is segmented into multiple notification mediums (e.g., push notifications, in-app messages, email) and notification levels (e.g., high, medium, low priority). Each medium and level can be configured independently to deliver appropriate information about video chat sessions, allowing detailed information delivery without requiring complete system redesign.
Solution Approach 2:
The notification system dynamically adjusts the notification medium and level based on video chat attributes such as participant count, inviter-invitee relationship, and session importance. This dynamic adaptation allows the system to provide relevant information contextually without requiring complex manual configuration for each scenario.
2Adaptability or versatility
If detailed video chat attributes are considered for each invitee user, then tailored notifications can be provided, but the processing complexity and computational resources increase
Solution Approach 1:
The system applies different notification configurations to different invitee users based on their specific attributes and relationships with the inviter. Each user receives notifications customized to their local context (e.g., friends receive different notifications than strangers, calendar-integrated users receive different notifications than non-integrated users), rather than applying a single complex configuration to all users.
Solution Approach 2:
The system changes notification parameters (medium, level, timing) based on video chat attributes such as number of participants, inviter-invitee relationship type, and user availability status. These parameter adjustments are made automatically based on predefined rules, reducing the need for complex processing while maintaining high adaptability.
3Productivity
If multiple notification mediums and levels are implemented, then user engagement and awareness improve, but the system requires more complex configuration and management
Solution Approach 1:
The system automatically selects appropriate notification mediums and levels based on video chat attributes and user profiles, eliminating the need for manual configuration by operators. The system serves itself by making intelligent decisions about notification delivery, reducing operational complexity while maintaining high user engagement through tailored notifications.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to notifications (e.g., acceptance, decline, no-show) are used to refine future notification strategies. This feedback loop allows the system to learn from user behavior and automatically optimize notification configurations, reducing manual intervention while improving engagement over time.
Data Source
AI summary
A computer-implemented technique can include receiving a video chat request to initiate a video chat with at least one invitee user. The technique can include for a specific invitee user, determining a degree of notification for a specific video chat invitation for the specific invitee user, the degree of notification comprising a notification medium and a notification level each having a degree of intrusiveness, wherein determining the degree of notification is based on: (a) a number of invitee users specified by the video chat request, and (b) video chat attributes of the specific invitee user. The technique can also include outputting the specific video chat invitation to an invitee computing device associated with the specific invitee user via the determined notification medium, wherein receipt of the specific video chat invitation causes the invitee computing device to notify the specific invitee user according to the determined notification level.