Voice Assistant Emulator Platform for Scalable Load Testing
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Solution Overview
Problem
Developers face challenges in testing and debugging voice assistant-related technologies due to the resource intensity of simulated devices, limited extensibility, and difficulty in obtaining low-level debugging information, especially when physical devices are not available for testing.
Innovation Solution
A device emulator software that enables developers to test voice assistant technologies using emulated instances, providing interfaces for extending device features, obtaining debugging information, and emulating various device types on any computing host, along with a load testing platform for performance evaluation under varying conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical voice assistant devices are used for testing, then real device performance can be evaluated, but device availability is limited and debugging access is restricted
Solution Approach 1:
The patent creates virtual emulators that replicate the functionality of physical voice assistant devices. These emulators provide identical API interfaces and behavioral characteristics as physical devices, enabling unlimited parallel testing instances without the constraints of physical hardware availability. The emulator architecture allows developers to spin up as many test devices as needed instantly.
2Adaptability or versatility
If simulated devices are used for testing, then device availability is increased, but resource consumption increases and extensibility is limited
Solution Approach 1:
The emulator architecture segments device functionality into modular components including device emulators, interaction engines, and observable data streams. This segmentation allows selective instantiation of only the necessary device types and capabilities for each test scenario, reducing overall resource consumption compared to running full simulated device environments. Developers can launch minimal viable emulators for specific testing needs.
3Adaptability or versatility
If comprehensive device emulators are created, then testing coverage is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal emulator framework where a single base emulator class supports multiple device types through configuration rather than inheritance. The interaction engine provides unified interfaces for various device capabilities (audio, display, haptic feedback) through a common abstraction layer. This multi-functionality approach enables comprehensive testing coverage while keeping individual emulator implementations simple and maintainable.
4Difficulty of detecting and measuring
If low-level debugging interfaces are provided, then debugging capability is improved, but interface complexity increases
Solution Approach 1:
The patent introduces observable data streams as an intermediary layer between the emulator internals and debugging tools. These data streams automatically publish events, state changes, and performance metrics without requiring direct access to complex internal structures. The interaction engine acts as another intermediary that translates low-level device operations into standardized observable events, simplifying the debugging interface while maintaining comprehensive monitoring capabilities.
Data Source
AI summary
Techniques are described for providing emulation software used to emulate voice assistant-enabled devices, and further for a platform used to perform and monitor large scale load tests against fleets of voice assistant-enabled device emulators. The emulation software broadly provides a collection of software libraries for creating emulated instances of a wide range of voice assistant-enabled device types capable of interacting with voice assistant services provided by a cloud provider network. The emulation software further includes software interfaces and observable data streams that enable developers to configure and extend emulated device capabilities, to obtain debugging and performance information, and the like. The described load testing platform further enables developers to test the performance of voice assistant-related technologies (including e.g., device features, voice assistant apps, third-party services, etc.) at scale.