Diagnostic Application for Computing Device Self-Remediation
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Solution Overview
Problem
Users face difficulties in diagnosing and resolving issues with their computing devices due to lack of technical skills, leading to lengthy and burdensome customer support processes, as they often require assistance from operators who must rely on descriptive issues rather than concrete diagnostic data.
Innovation Solution
A method and system that allows users to connect their mobile device to their computing device, access a diagnostic application, execute a diagnostic test, and output result data, including report codes, enabling users to identify and potentially resolve issues independently or provide clear information to support operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users attempt to diagnose device issues themselves, then they can potentially resolve problems independently, but they lack the technical skills to identify and diagnose issues effectively
Solution Approach 1:
A diagnostic application serves as an intermediary between the user and the device's technical systems. The application automatically detects connections, executes diagnostic tests, and interprets results, bridging the gap between user capability and technical complexity without requiring users to understand underlying technical details.
Solution Approach 2:
The system enables users to perform self-diagnosis through an automated process where the diagnostic application independently executes tests, collects data, and generates reports. Users simply need to connect their mobile device to the computing device, and the system handles the complex diagnostic tasks autonomously.
2Measurement precision
If users connect their mobile device to execute diagnostic tests, then diagnostic capability is improved, but the process complexity increases
Solution Approach 1:
The diagnostic application is designed to work across multiple device types and connection methods (USB, wireless). It performs multiple functions including automatic connection detection, test execution, data collection, and report generation within a single unified interface, reducing the perceived complexity for users.
Solution Approach 2:
The diagnostic process is segmented into distinct automated stages: connection detection, test selection, test execution, result analysis, and report generation. Each stage is handled independently by the system, allowing users to interact with only the simple initiation and result viewing portions while the complex intermediate steps are automated.
3Measurement precision
If detailed diagnostic tests are executed, then diagnostic precision is improved, but the time required for diagnosis increases
Solution Approach 1:
The system performs preliminary actions by automatically detecting the connected device type, available connections, and suitable diagnostic tests before execution. This pre-assessment allows the system to select and prepare appropriate tests in advance, reducing overall diagnosis time while maintaining precision.
Solution Approach 2:
The diagnostic application executes tests continuously and automatically without requiring user intervention between steps. The system maintains continuous operation from connection detection through test execution to result generation, eliminating delays caused by manual operations while preserving comprehensive testing.
Data Source
AI summary
One embodiment provides a method, including: detecting, on an information handling device, a connection to another device; accessing, on the information handling device, a diagnostic application; executing, using the diagnostic application and through the connection, a diagnostic test of the another device; and outputting result data associated with the diagnostic test. Other aspects are described and claimed.