Intent-Ranked IoT Responses for Cross-Device Action Discovery
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Solution Overview
Problem
Existing virtual assistant systems in IoT environments face challenges with smooth follow-up interactions and limited discoverability of actions related to responses, requiring users to manually repeat queries for additional information and actions, leading to cumbersome user experiences.
Innovation Solution
An electronic device determines intents in relation to response portions, ranks them based on user preferences and device usage history, and distinguishes these intents to provide enhanced responses with actionable information across multiple IoT devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the user manually repeats queries to obtain additional information or actions, then the system can provide comprehensive responses, but the interaction becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary analysis of the response content to identify actionable portions and determine relevant actions before the user needs to query further. The processor proactively identifies portions of the response that can trigger actions and prepares action suggestions in advance, eliminating the need for users to manually repeat queries for additional information.
2Adaptability or versatility
If the system provides hints and conversation drivers for actions, then users can discover available actions, but the discoverability is limited by query dependency and current context
Solution Approach 1:
The system automatically generates and presents action suggestions based on the response content without requiring users to manually query for action information. The processor self-determines which portions of the response can trigger actions and presents relevant action options automatically, making the system serve itself in providing discoverability rather than requiring user-initiated queries.
3Loss of information
If the user switches to new query responses, then the user can obtain additional information, but the user loses focus on what they are doing
Solution Approach 1:
The system performs preliminary identification of actionable portions and prepares action suggestions before the user needs to switch contexts. By proactively presenting relevant actions based on the current response content, the system allows users to obtain additional information without switching queries, maintaining their focus on the original task.
Data Source
AI summary
Methods and systems for providing an enhanced response to a query in an internet of things (IoT) environment are provided. The method includes receiving a query and generating a response for the query. The method further includes determining at least one intent in relation to at least one portion of the generated response and ranking the at least one intent based on user preferences and a usage history associated with at least one user device present in an IoT environment. The method further includes distinguishing the at least one portion of the generated response with the determined at least one intent based on the ranking of the at least one intent.