Relation-Specific Call Screen Notes for Repeat Interactions
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Solution Overview
Problem
Existing systems require users to retrieve and input multiple questions or answers during interaction sessions, increasing session duration and decreasing optimization due to the need to access and input sensitive information, such as credit card numbers or credentials, which can be time-consuming and prone to social engineering.
Innovation Solution
A computer-based system that monitors user activities, identifies repeat interaction sessions, and automatically retrieves and displays relation-specific notations on the call screen using machine learning and natural language processing to provide historical data and transcribe audio data in real-time, reducing the need for manual input and enhancing session efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually retrieve and input questions or information during interaction sessions, then the system can obtain necessary data, but the session duration increases and optimization decreases
Solution Approach 1:
The system performs preliminary actions by automatically retrieving and displaying call screen information, questions, and answers before the interaction session begins. The computing device monitors activities, identifies incoming sessions, and pre-loads relevant data from databases, eliminating the need for manual retrieval during the session and reducing overall session duration.
Solution Approach 2:
The system enables self-service by automatically monitoring user activities, identifying incoming interaction sessions, retrieving relevant call screen information, and displaying questions and answers without requiring user intervention. The system serves itself by autonomously managing information retrieval and presentation throughout the interaction session.
2Reliability
If users manually input sensitive information such as credit card numbers or credentials, then the system can process the data, but the process becomes time-consuming and prone to social engineering
Solution Approach 1:
The system eliminates manual data input by automatically retrieving call screen information, questions, and answers from databases based on monitored activities. The system serves itself by autonomously accessing stored data and presenting it during interaction sessions, removing users from the vulnerable data input process entirely and preventing social engineering attacks.
Solution Approach 2:
The system introduces an intermediary layer between the user and sensitive data by automatically retrieving information from databases and displaying it on the call screen. This intermediary process eliminates direct user interaction with sensitive data input fields, reducing exposure to social engineering while maintaining data accessibility.
3Productivity
If the system monitors user activities and automatically retrieves information, then session efficiency increases, but the device complexity increases
Solution Approach 1:
The computing device performs multiple functions within a single integrated system: it monitors user activities, identifies incoming interaction sessions, retrieves call screen information from databases, displays questions and answers on the call screen, and updates information throughout the session. This multi-functionality achieves high session efficiency without requiring separate specialized systems for each task.
Data Source
AI summary
In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining a permission from the user to monitor a plurality of activities executed within the computing device; continually monitoring the plurality of activities executed within the computing device for a predetermined period of time; identifying an indication of an incoming interaction session within the predetermined period of time; verifying at least one session interaction parameter associated with the incoming interaction session to identify the incoming interaction session as a repeat interaction session; dynamically retrieving at least one relation-specific notation from a plurality of relation-specific notations to display; instructing an input GUI element to display input data associated with the repeat interaction; automatically updating the plurality of relation-specific notations associated with the historical data relationship; and instructing at least one programmable output GUI to display a notification identifying the update of the plurality of relation-specific notations.