Embedded AI Agent for Smart Appliance Fault Resolution
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Solution Overview
Problem
Smart appliances often require complex troubleshooting and maintenance, which can be challenging due to the need for human intervention and the inability of existing chatbots to dynamically adapt to user expectations and operating conditions.
Innovation Solution
An interactive embedded conversational AI agent on a smart appliance that can obtain diagnostic reports, communicate with remote chatbots, and automatically resolve potential faults without human intervention by following instructions received from the remote chatbot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing chatbots are used for troubleshooting smart appliances, then users can receive remote assistance, but human intervention is still required which reduces efficiency and increases time loss
Solution Approach 1:
The smart appliance performs self-diagnosis by automatically collecting diagnostic data from its own systems and components, then communicates this data to the chatbot for analysis and resolution without requiring manual user input or intervention throughout the process
Solution Approach 2:
The system proactively collects diagnostic reports and identifies potential faults before they escalate into major failures, enabling preventive maintenance actions to be taken in advance, thereby reducing overall troubleshooting time and improving appliance reliability
2Reliability
If complex troubleshooting procedures are implemented, then more faults can be resolved, but the complexity of the system increases requiring more human intervention
Solution Approach 1:
The chatbot serves as an intelligent intermediary between the appliance's diagnostic system and the resolution processes, automatically analyzing diagnostic data, identifying faults, determining appropriate corrective actions, and executing resolutions without requiring human experts to interpret complex technical data
Solution Approach 2:
The troubleshooting system is divided into distinct modular components: diagnostic data collection from various appliance subsystems, chatbot-based analysis and decision-making, and automated execution of resolution actions, allowing each component to be independently optimized and managed
3Ease of operation
If manual diagnostic procedures are used, then users can understand the problem, but the process requires significant user time and effort
Solution Approach 1:
The appliance autonomously performs the entire troubleshooting process including self-diagnosis, fault identification, and resolution execution without requiring the user to manually diagnose problems or follow complex troubleshooting procedures, thereby eliminating user time investment while maintaining ease of operation
Data Source
AI summary
One embodiment of the invention provides a computer-implemented method for an interactive embedded conversational artificial intelligence (AI) agent on an electronic device. The method comprises obtaining a diagnostic report for the electronic device, establishing a communication channel with a remote chatbot, and sending, to the remote chatbot over the communication channel, the diagnostic report. The method further comprises receiving, from the remote chatbot over the communication channel, instructions for resolving at least one potential fault of the electronic device. The instructions are indicative of at least one potential fault of the electronic device and at least one preventative measure to resolve the at least one potential fault. The method further comprises dynamically taking at least one action to automatically resolve the at least one potential fault if the at least one potential fault is resolvable without human intervention. The at least one action is based on the instructions.