Peripheral Assistant Button Control With Context-Based Action Switching
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Solution Overview
Problem
Existing automated assistant systems require extensive computational and network resources to process spoken utterances, leading to inefficient utilization of resources and bandwidth, especially when controlling smart devices through peripheral control devices.
Innovation Solution
Implementing a peripheral assistant control device that can perform automated assistant functions based on user interface inputs, location, and user presence, reducing the need for explicit reconfiguration and minimizing speech recognition processing by delegating tasks to a paired assistant computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech recognition processing is performed for every automated assistant action, then the automated assistant can respond to user commands, but extensive computational and network resources are consumed
Solution Approach 1:
The system segments automated assistant functions between the peripheral control device and the paired computing device. The peripheral device handles local user interface inputs and basic control functions, while the paired computing device handles speech recognition and complex processing. This segmentation reduces the computational burden on the peripheral device and minimizes network bandwidth usage for routine control operations.
Solution Approach 2:
The peripheral assistant control device acts as an intermediary between the user and the automated assistant system. It captures user inputs through its interface, processes them locally when possible, and only transmits necessary data to the paired computing device, thereby reducing the frequency and volume of speech recognition processing required.
2Adaptability or versatility
If peripheral assistant control devices are equipped with full speech recognition capabilities, then they can independently process commands, but device complexity and cost increase
Solution Approach 1:
The peripheral assistant control device is designed with multi-functionality, supporting both local user interface processing and wireless communication with paired computing devices. This universal design allows the same device to handle simple local commands and more complex remote operations without requiring separate hardware configurations.
Solution Approach 2:
The peripheral device serves as an intermediary that can operate independently for simple functions or in conjunction with the paired computing device for complex functions. This intermediary role allows the peripheral device to maintain simpler hardware while still providing comprehensive functionality through conditional delegation to the paired device.
3Adaptability or versatility
If the peripheral assistant control device is frequently reconfigured for different functions, then it can adapt to different user needs, but configuration complexity increases
Solution Approach 1:
The system performs preliminary configuration actions by pre-pairing the peripheral device with the computing device and pre-assigning functions based on initial user preferences. This preliminary setup reduces the need for frequent reconfiguration, as the device is already adapted to common user needs before actual use begins.
Solution Approach 2:
The function assignment system is dynamic, allowing automatic adjustment of device functions based on contextual information such as user presence, location, and current device state. This dynamic adaptation eliminates the need for manual reconfiguration, as the system automatically optimizes function assignment based on real-time conditions.
4Extent of automation
If speech recognition is performed remotely for all commands, then centralized processing is maintained, but network bandwidth usage increases
Solution Approach 1:
The system extracts speech recognition processing from the centralized remote server and places it locally on the paired computing device. This extraction reduces network bandwidth consumption by handling speech-to-text conversion locally, transmitting only the resulting text or command data to remote servers rather than transmitting raw audio data for every command.
Data Source
AI summary
In response to a user interacting with a tangible peripheral assistant control device (e.g., depressing a button of the device), causing an automated assistant to perform one or more actions. The action(s) performed can be based on input previously provided by the user in configuring the peripheral assistant control device. The action(s) performed in response to interaction with the peripheral assistant control device can vary based on one or more conditions, such as which user is currently active, where the peripheral assistant control device is currently located (which can optionally be inferred based on which of multiple assistant computing devices the button is paired with), and/or the current state of one or more smart devices and/or other devices (e.g., as determined based on a device topology). A utility of the peripheral assistant control device can be automatically extended beyond what was specifically requested by a user during configuration.