Voice Call Response via Contact List Categorization

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Solution Overview

Problem

Current voice call management systems lack the ability to intelligently categorize and respond to calls based on contact lists and user data, leading to inefficient handling of missed calls and lack of personalized responses.

Innovation Solution

A computing device that stores contact lists and user data, uses AI to analyze voice calls, and performs operations such as sending messages or forwarding calls based on contact list categorization, user settings, and sensor data, including generating custom voicemail greetings and forwarding calls to appropriate contacts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional voice call management systems are used, then call handling is simple and direct, but the system lacks intelligent categorization and personalized response capabilities

Engineering Contradiction:

Improveintelligent categorization and personalized response capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments contact lists into multiple categories (e.g., family, friends, colleagues, emergency contacts) and associates different response actions with each category. This segmentation enables intelligent categorization without requiring complete system redesign, as each contact list can be independently classified and managed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-configuring contact lists with categories and predetermined response actions before actual call events occur. When a call is received, the system already has the categorization framework and response rules in place, enabling quick intelligent routing without complex real-time decision-making.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If all voice calls are handled manually by the user, then personalized responses can be provided, but time is lost and efficiency is reduced

Engineering Contradiction:

Improvecall handling efficiencyVSAvoiduser time for call management

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system provides self-service by automatically analyzing incoming calls, categorizing them based on contact list associations, and executing predetermined response actions without requiring user intervention. The system serves itself by managing call routing and generating appropriate responses autonomously, freeing the user from manual call management tasks.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where sensor data (e.g., user location, activity state) and call characteristics are continuously monitored and fed back into the decision-making process. This feedback loop enables the system to dynamically adjust call handling actions while maintaining automated efficiency and personalization.

Inventive Principle:

Principle #23Feedback

3Reliability

If basic voicemail storage is used, then missed calls are preserved, but there is no intelligent prioritization or automated forwarding capability

Engineering Contradiction:

Improvecall information preservationVSAvoidautomated call management

Core Design Contradiction:

ReliabilityVSExtent of automation

Solution Approach 1:

The system applies dynamics by making call management actions adaptable and changeable based on real-time conditions. Contact lists can be dynamically updated with new categories, and response actions can be modified based on sensor data and call context. This dynamic approach enables reliable call preservation while incorporating intelligent automation that adapts to user needs.

Inventive Principle:

Principle #15Dynamics

4Adaptability or versatility

If contact lists are stored and analyzed, then personalized call responses are enabled, but processing resources and energy consumption increase

Engineering Contradiction:

Improvepersonalized response capabilityVSAvoidprocessing energy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by analyzing only the necessary portions of contact list data and call information required for categorization and response determination. Rather than processing all contact data uniformly, the system focuses computational resources on relevant contacts and call attributes, reducing overall processing energy consumption while maintaining personalized response capability.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20240022666A1Performing an operation responsive to a voice call

Publication Date: 2024.01.18 MICRON TECHNOLOGY INC

AI summary

Methods, devices, and systems related to performing an operation responsive to a voice call are described. In an example, a method can include storing data representing a number of contact lists on a memory of a first computing device, wherein the data representing the number of contact lists includes data representing credentials of a number of contacts on the number of contact lists, receiving data representing a voice call and credentials of a second computing device at the first computing device, comparing the data representing the credentials of the second computing device with the data representing the credentials of the number of contacts on the number of contact lists to determine which contact list the second computing device is included in, and performing an operation at the first computing device at least partially based on which contact list the second computing device is included in.