Client Assistant Requests with Proactive Peripheral State Aggregation
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Solution Overview
Problem
Existing systems incur unnecessary latency and resource consumption when peripheral devices interact with automated assistants due to redundant communications for status data retrieval, particularly for tasks that could be handled locally.
Innovation Solution
Peripheral devices proactively provide status data to a client device, which aggregates and processes this data before sending it to a server, reducing the need for redundant queries and optimizing network bandwidth and computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the client device queries the peripheral device for state data after receiving responsive data from the server device, then the automated assistant can answer user queries about peripheral device settings, but unnecessary latency occurs due to multiple communication rounds
Solution Approach 1:
The peripheral device proactively transmits state data to the client device before the user asks a question about it. This preliminary action ensures the data is already available at the client device when needed, eliminating the need for subsequent queries and reducing latency while maintaining data accuracy
2Reliability
If the client device communicates with the server device multiple times to retrieve peripheral device state data, then the automated assistant can provide accurate responses, but network bandwidth and battery charge are unnecessarily consumed
Solution Approach 1:
The peripheral device sends state data to the client device in advance, so when the user asks a question, the data is already locally available. This eliminates redundant network communications between the client and server, conserving both network bandwidth and battery energy while ensuring accurate responses can be generated
Solution Approach 2:
The peripheral device takes initiative to provide its own state data to the client device without being queried. This self-service approach reduces the burden on the client-server communication channel, minimizing energy consumption while maintaining response accuracy
Data Source
AI summary
Implementations relate to proactively aggregating client device data to append to client assistant data that is communicated to a server device in response to a user request to a client automated assistant. When a user request that is associated with, for example, a peripheral client device, is received at a client device, the client device can communicate, to a server device, data that embodies the user request (e.g., audio data and/or local speech recognition data), along with peripheral device data that was received before the client device received the user request. In this way, the client automated assistant can bypass expressly soliciting peripheral device data each time a user request is received at another client device. Instead, a peripheral device can proactively communicate device data to a client device so that the device data can be appended to request data communicated to the server device from a particular client device.


