Context-Aware Smart Appliance Status Filtering for Useful Summaries
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Solution Overview
Problem
Managing and providing status information for multiple smart appliances becomes complex and computationally resource-intensive, often resulting in unnecessary information being presented to users, which can hinder user interaction with automated assistants.
Innovation Solution
Implementing a system that filters and summarizes smart appliance statuses based on user context and past interactions, generating textual snippets and summaries that focus on pertinent information, allowing for efficient communication of relevant status updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive status information of all smart appliances is provided to the user, then the user receives complete information about all devices, but the information becomes lengthy and less useful
Solution Approach 1:
The system extracts only the most relevant appliance status information based on user context, time of day, and location, rather than presenting all available status data. This selective extraction maintains information completeness for relevant items while eliminating unnecessary information.
Solution Approach 2:
The system applies different quality levels of information presentation based on local context - providing detailed status information for appliances relevant to the user's current situation while providing minimal or no information for irrelevant appliances, creating a localized information quality approach.
2Reliability
If status information for numerous appliances is verified and conveyed, then complete monitoring is achieved, but computational resources are wasted
Solution Approach 1:
The system extracts and processes only the status information for appliances that are relevant to the user's current context, eliminating the need to verify and convey status for all appliances. This reduces computational resource consumption while maintaining monitoring accuracy for relevant devices.
Solution Approach 2:
The system performs partial verification of appliance statuses by focusing only on a subset of appliances based on relevance criteria, rather than verifying all appliance statuses. This partial action approach reduces computational energy waste while maintaining sufficient monitoring reliability.
3Loss of information
If detailed recitation of all appliance statuses is provided, then comprehensive information is available, but user engagement in further dialog is reduced
Solution Approach 1:
The system extracts and presents only the most relevant appliance status information, leaving out unnecessary details. This enables users to quickly understand relevant statuses and continue engaging in meaningful dialog with the automated assistant about other topics or tasks.
Data Source
AI summary
Implementing methods to provide a shortened textual summary that includes status information that is most pertinent to the user for a plurality of connected smart appliances. The method includes determining a list of current statuses for a plurality of enabled smart appliances and filtering the list to remove statuses that may not be of interest to the user. The filtering of the list is based on a current context of the requesting user and one or more previous contexts of the user. The resulting filtered statuses are then converted to textual snippets, summarized, and provided to the user via one or more output devices.