Smart Appliance Status Summaries for Information Overload Control
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Solution Overview
Problem
Managing and providing useful status information for multiple smart devices becomes complex and resource-intensive, as users are often overwhelmed by lengthy recitations of device statuses, with irrelevant information reducing the effectiveness of user interactions with automated assistants.
Innovation Solution
Implement a system that filters and summarizes smart device statuses based on user context and past interactions, generating textual snippets and summaries that focus on pertinent information, allowing for concise audio or visual reports and enabling users to easily manage device statuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive recitation of all smart device statuses is provided, then completeness of information is improved, but user interest and usefulness deteriorate due to irrelevancy
Solution Approach 1:
The system extracts only the relevant device status information based on user context, location, and device associations, omitting unnecessary details. This selective extraction maintains information completeness for relevant items while eliminating irrelevancies that cause user disinterest.
Solution Approach 2:
The system applies different levels of detail and relevance to different device statuses based on local context factors such as user location, device importance, and current activities. High-priority devices receive detailed status reporting while low-priority devices receive summarized or omitted status information.
2Loss of information
If comprehensive recitation of all smart device statuses is provided, then completeness of information is improved, but computational resource usage worsens
Solution Approach 1:
The system extracts only relevant device status information for processing and transmission, avoiding the computational overhead of handling complete device status sets. This extraction based on user context and device priority significantly reduces computational resource requirements while maintaining necessary information completeness.
Solution Approach 2:
The system performs partial processing of device statuses by focusing only on relevant subsets of devices and status parameters, rather than processing all device statuses in full detail. This partial action approach reduces computational burden while maintaining adequate information for user needs.
3Loss of information
If comprehensive recitation of all smart device statuses is provided, then completeness of information is improved, but user ability to reengage in dialog worsens
Solution Approach 1:
The system extracts and presents only relevant device status information in a concise format, leaving room for user engagement on meaningful topics. By removing excessive information, the system maintains dialog flow and user ability to provide useful responses rather than being overwhelmed by status recitations.
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 devices. The method includes determining a list of current statuses for a plurality of enabled smart devices 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.