Virtual Agent for Smart Home Technical Support
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Solution Overview
Problem
Consumers face increasing complexity in managing smart home devices and services, leading to difficulties in troubleshooting and optimizing their setups, with existing systems lacking effective technical support mechanisms.
Innovation Solution
A virtual agent system that uses appliance identifying data and environmental data to provide technical support, guiding consumers through setup, troubleshooting, and feature discovery, and can hand-off issues to third-party agents when necessary, utilizing internal and external knowledge sources to detect and resolve problems proactively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers manage smart home devices manually without automated support, then they maintain full control over device operations, but they experience increasing complexity and difficulty in troubleshooting and optimizing setups
Solution Approach 1:
The patent introduces a virtual agent as an intermediary between consumers and smart home devices. This virtual agent collects appliance identifying data, environmental data, and device state data, then provides automated technical support, troubleshooting guidance, and optimization recommendations. The intermediary handles the complexity of device management while consumers interact with a simplified interface through natural language conversations.
Solution Approach 2:
The system enables self-service by allowing the virtual agent to autonomously diagnose issues, provide troubleshooting steps, and optimize device configurations without requiring consumer expertise. The agent accesses device data, analyzes problems, and guides consumers through solutions, reducing the need for manual intervention and expert knowledge while managing device complexity.
2Reliability
If a virtual agent system is implemented to provide automated technical support, then troubleshooting and optimization capabilities are enhanced, but system complexity increases
Solution Approach 1:
The virtual agent system is segmented into distinct functional modules: data collection module (gathering appliance identifying data, environmental data, device state data), analysis module (diagnosing issues and determining root causes), and response module (providing troubleshooting guidance and solutions). This segmentation manages system complexity by organizing functions into manageable, independent components that can be developed and maintained separately.
Solution Approach 2:
The virtual agent is designed as a universal system that can handle multiple types of smart home devices and various technical support scenarios through a single interface. It collects and processes diverse data types (appliance identifying data, environmental data, device state data) and provides comprehensive troubleshooting, optimization, and feature discovery capabilities across different device categories, reducing the need for device-specific support systems.
3Measurement precision
If the virtual agent collects and processes extensive appliance identifying data and environmental data, then it can provide more accurate and proactive technical support, but data processing requirements and system resources increase
Solution Approach 1:
The system performs preliminary data collection and processing by gathering appliance identifying data, environmental data, and device state data in advance before issues occur. The virtual agent maintains updated profiles of devices and their environments, enabling rapid diagnosis and proactive issue detection without requiring intensive real-time processing when problems arise, thus reducing peak computational resource requirements.
Solution Approach 2:
The virtual agent implements feedback mechanisms where collected data is continuously analyzed to improve future diagnostics and recommendations. The system learns from interaction patterns, device performance data, and troubleshooting outcomes to refine its data processing algorithms, becoming more efficient at identifying issues with the same or reduced data processing requirements over time.
Data Source
AI summary
Contextual information for an ecosystem that includes a consumer electronic device is used by a virtual agent to speed up the process by which the virtual agent provides technical support related to the consumer electronic device. The contextual information is used to reduce the amount of information the virtual agent requires from the consumer. Whilst collecting information from the consumer, the virtual agent also functions to determines if a hand-off of the consumer to a further agent is needed.