Virtual Assistant Content Delivery Across IoT Devices
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Solution Overview
Problem
Conventional virtual assistant systems in multi-device environments struggle to provide a seamless user experience without potentially damaging devices or rendering content to unintended individuals, as they lack the ability to optimize content delivery based on user movement and activity within the environment.
Innovation Solution
The system coordinates the operation of multiple IoT devices to render responses and content dynamically, using user movement, activity, and environmental data to seamlessly transfer content across devices, ensuring continuity and privacy, by employing cognitive analysis and machine learning to predict user movements and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system utilizes multiple available devices to render the appropriate response, then the user experience can be enhanced, but the system may potentially damage the devices (e.g., by maximizing volume) and/or render content to unintended individuals
Solution Approach 1:
The patent applies local quality by making each IoT device's content rendering adaptive to the user's specific location and movement. The system dynamically adjusts which devices render content based on real-time user position detection, ensuring content is delivered to devices in the user's proximity while avoiding devices that could cause harm (e.g., maximum volume) or unintended exposure. This spatially differentiated approach resolves the contradiction by optimizing user experience locally rather than uniformly across all devices.
Solution Approach 2:
The system performs preliminary action by detecting user movement and predicting which devices will be in the user's proximity before rendering content. By proactively identifying the appropriate target device based on user trajectory and position, the system avoids the need to maximize volume on all devices or risk unintended content exposure, thus preventing device damage and privacy issues before they occur.
2Adaptability or versatility
If the system renders content to all devices in the environment, then content accessibility is improved, but privacy is compromised as other individuals can consume content they do not want to
Solution Approach 1:
The patent applies segmentation by dividing the content delivery process into targeted segments based on user identity and location. Rather than rendering content to all devices universally, the system segments content delivery to only those devices where the authenticated user is currently present or moving toward. This segmented approach maintains content accessibility for the intended user while preventing unintended individuals from consuming private content, thus resolving the privacy contradiction.
Solution Approach 2:
The system uses feedback by continuously monitoring user position, movement, and device proximity to dynamically adjust content rendering decisions. This real-time feedback loop ensures content is delivered to the correct devices based on current user location, maintaining accessibility while protecting privacy by automatically preventing content exposure to unintended individuals who are not in the user's vicinity.
3Ease of operation
If the system transfers content between devices as user moves, then seamless experience is achieved, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically manage content transfer between devices without requiring complex manual coordination. The system autonomously detects user movement, identifies appropriate target devices, and executes content transfer seamlessly. This automated self-service approach achieves the seamless user experience goal while minimizing the effective complexity burden, as the system handles the coordination automatically based on simple position detection inputs.
Data Source
AI summary
Embodiments for managing virtual assistants are described. Information associated with a user in an internet of things (IoT) device environment having a plurality of IoT devices is received. A request from the user is received. In response to the receiving of the request, a first portion of a response to the request is caused to be rendered utilizing a first of the plurality of IoT devices. Movement of the user within the IoT device environment is detected. In response to the detecting of the movement of the user, a second portion of the response to the request is caused to be rendered utilizing a second of the plurality of IoT devices based on said detected movement of the user and said received information about the user.