Intelligent Multitasking System for Automation Interruption Management
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Solution Overview
Problem
The challenge lies in managing task automation across multiple tasks and multiple automated assistants to minimize user interruption, as existing technologies often lead to unwanted interruptions and inefficiencies when users interact with multiple automated assistants simultaneously.
Innovation Solution
An intelligent multitasking system is introduced, comprising a context manager that determines the user's context using human-centric input data, an intent mapper that maps human communication to automated task intents, and an interruption manager that schedules automated tasks based on the user's context and task intents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple automated assistants are used to perform multiple tasks simultaneously, then task automation capability is improved, but user interruption frequency increases
Solution Approach 1:
The patent introduces an interruption manager as an intermediary component that sits between multiple automated assistants and the user. This manager coordinates task scheduling, determines optimal interruption timing based on user context, and consolidates multiple assistant requests into unified, timely interactions. The intermediary prevents simultaneous interruptions by managing the timing and prioritization of automated assistant communications.
2Speed
If automated assistants are scheduled to perform tasks at the same time, then system responsiveness is improved, but coordination complexity increases
Solution Approach 1:
The patent merges the scheduling and coordination functions of multiple automated assistants into a single interruption manager component. Instead of each assistant independently managing its own timing and coordination, the system combines these functions into one centralized manager that handles all task scheduling, user context analysis, and interruption coordination, thereby reducing overall system complexity.
3Ease of operation
If user context is continuously monitored to optimize interruption timing, then user experience is improved, but data processing requirements increase
Solution Approach 1:
The patent implements preliminary action by having the context manager proactively analyze user context and pre-determine optimal interruption timings before tasks are ready for execution. Rather than continuously monitoring and reacting in real-time, the system performs advance analysis of user availability and schedules interruptions in advance, reducing the need for constant real-time data processing while maintaining high user experience quality.
Data Source
AI summary
Techniques for intelligently managing task automation across multiple tasks and multiple automated assistants are provided. In one aspect, an intelligent multitasking system includes: a context manager configured to use human-centric input data to determine a context of a user; an intent mapper configured to map human communication to automated task intents; and an interruption manager configured to schedule automated tasks for performance by automated assistants based on the context of the user and the automated task intents. The context manager can be hosted on a cloud having MQTT clients (e.g., IoT sensors) and an MQTT broker. The intent mapper can include a human-machine software communication interface that identifies verbal and/or non-verbal communications. A method for intelligent multitasking is also provided.