Call Notification Content Curation for Enhanced User Engagement
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Solution Overview
Problem
Current electronic communication systems inadequately notify users of incoming calls on computer displays, lacking graphical identification of the caller and failing to engage users effectively, as they often only show phone numbers or names without context.
Innovation Solution
A computer-based communication application that retrieves and displays content specific to the parties involved in a call, determining the subject matter from electronic records such as emails, meeting notifications, and media, to provide personalized and relevant information during calls, which can be initiated before or after the call, ensuring users are better informed and engaged.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional call notification systems are used on computer displays, then the system remains simple and easy to operate, but the user engagement and recognition of caller identity are insufficient
Solution Approach 1:
The system performs preliminary actions by retrieving and analyzing electronic records (emails, meeting notifications, documents) before the call occurs. This allows the system to pre-determine the subject matter of the call and prepare relevant content for display, enhancing user engagement before the user even answers the call.
Solution Approach 2:
The system introduces an intermediary layer between the call notification and the user. Instead of directly displaying only caller ID information, the system retrieves electronic records, analyzes them to determine subject matter, and presents curated content as an intermediary layer that enriches the notification experience.
2Loss of information
If only basic caller information (phone number or name) is displayed, then the notification system remains simple, but the information provided to users is insufficient for context and recognition
Solution Approach 1:
The system applies multi-functionality by using a single electronic record retrieval mechanism to serve multiple purposes: determining caller identity, identifying call subject matter, and selecting relevant content for display. This universal approach prevents information loss without requiring separate specialized systems for each function.
Solution Approach 2:
The system creates copies of relevant information from electronic records (emails, meeting notifications, documents) and presents them alongside the call notification. Instead of directly accessing complex record systems, the system retrieves and displays copied relevant content, making information accessible without exposing system complexity.
3Reliability
If the system retrieves and displays personalized content from electronic records, then user engagement and information quality improve, but the system complexity and data processing requirements increase
Solution Approach 1:
The system applies self-service by automatically retrieving electronic records, analyzing their attributes to determine subject matter, and selecting relevant content without requiring manual user input. The system serves itself by autonomously completing the entire process from record retrieval to content display, improving reliability while managing complexity through automation.
Solution Approach 2:
The system uses feedback mechanisms by analyzing attributes of electronic records (such as subject lines, metadata, and content keywords) to determine the subject matter of the call. This feedback loop allows the system to continuously improve its ability to select relevant content based on the characteristics of the retrieved records.
Data Source
AI summary
Systems and methods are described herein for a computer-based communication application that displays, along with an incoming call notification, content specific to the parties involved. The application identifies electronic records of events attended by the users, and retrieves content specific to those records. For example, the application may identify electronic mail or meeting notifications sent between the users and concerning a particular subject matter. Images related to that subject matter are then retrieved and displayed during calls between those users. Users are thus presented with customized and personalized content specific to the subject matter of each call, thus helping them better recognize callers and more readily engage with the call.