Automated Telephone Call Simulation for Entity-Aware Task Screening
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Solution Overview
Problem
Existing automated assistants often waste computational and network resources by initiating unsuitable automated telephone calls due to a lack of contextual understanding about the entities they interact with.
Innovation Solution
Simulating automated telephone calls before execution to determine task suitability with respect to the entity, using a large language model to emulate the entity and assess the task's feasibility, and adjusting or canceling calls based on the simulation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated assistants initiate automated telephone calls without contextual understanding, then the automated assistant can perform tasks on behalf of users, but computational and network resources are wasted when tasks are unsuitable for the entity
Solution Approach 1:
The system performs a simulation of the automated telephone call before actually initiating it. The simulation uses a language model to emulate the entity and evaluate whether the task is suitable for performance with respect to that entity. This preliminary action allows the system to determine task suitability without actually consuming network resources for an unsuitable call.
Solution Approach 2:
The system creates a simulated version of the automated telephone call using a language model that emulates the entity. This copy or simulation allows evaluation of task suitability without requiring actual network communication. The simulation reproduces the essential interactions to determine whether the task can be successfully performed.
2Loss of energy
If automated assistants simulate automated telephone calls before execution, then resource waste is reduced, but additional computational resources are required for the simulation process
Solution Approach 1:
The system introduces a language model as an intermediary that emulates the entity for simulation purposes. This intermediary allows the system to evaluate task suitability without directly contacting the actual entity through network calls. The language model acts as a virtual representation that can be queried about task appropriateness.
3Ease of operation
If automated assistants lack contextual understanding about entities, then automated telephone calls can be initiated quickly, but the automated assistant cannot determine task suitability
Solution Approach 1:
The system obtains feedback from the language model simulation about whether the task is suitable for performance with respect to the entity. This feedback mechanism provides contextual understanding by evaluating the compatibility between the task and the entity before actual call initiation. The feedback includes information about whether the entity can perform the requested task.
Data Source
AI summary
Implementations are directed to simulating automated telephone call(s) to be performed by an automated assistant. Processor(s) can receive user input and determine, based on the user input, that the user input includes: a request to cause the automated assistant to initiate an automated telephone call with an entity, and a task to be performed during the automated telephone call. In some implementations, the processor(s) can cause a simulation of the automated telephone call to be performed to simulate the task, and, based on a result of the simulation, determine whether to initiate the automated telephone call or to refrain from initiating the automated telephone call. In additional or alternative implementations, the processor(s) can determine whether to cause the simulation of the automated telephone call to be performed based on a type of the entity, a type of the task, and/or whether a prior simulation of the task has been performed.