Cockpit domain human-computer interaction test system and method, electronic device and storage medium

By collecting real user data in the cockpit domain human-computer interaction testing system and generating test scripts using a white-box template engine, the problems of disconnected test scenarios and low efficiency were solved, achieving efficient automated testing and discovering edge scenarios and long-tail issues.

CN122309353APending Publication Date: 2026-06-30CHINA FAW CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA FAW CO LTD
Filing Date
2026-03-06
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing cockpit-domain human-computer interaction testing methods fail to reflect real user operating habits, are disconnected from test scenarios, have low test case generation efficiency, are difficult to discover long-tail problems, and are complex to implement automation solutions.

Method used

Real user interaction data is collected through the vehicle-side data acquisition subsystem, analyzed and generated into executable test scripts by the cloud processing subsystem, executed and verified on the cockpit test bench, and automated testing is achieved using a white-box template engine.

Benefits of technology

It achieves efficient and low-cost automated testing, improves test coverage, can discover edge scenarios and long-tail issues, and reduces implementation difficulty.

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Abstract

This invention relates to the field of vehicle technology and discloses a cockpit-domain human-machine interaction testing system, method, electronic device, and storage medium. The cockpit-domain human-machine interaction testing system includes at least a vehicle-side data acquisition subsystem, a cloud-based processing subsystem, and a cockpit test bench. This invention can alleviate problems in existing technologies such as cockpit-domain human-machine interaction function testing scenarios being detached from real-world use, low testing efficiency, difficulty in identifying edge cases, and complex implementation. By collecting interaction data from real vehicles, and automatically generating executable test cases based on rule analysis and template-based compilation, it achieves efficient, low-cost, and implementable automated testing. Specifically, it utilizes real user behavior data through an engineering process to realize cockpit-domain human-machine interaction function testing, which improves the efficiency of test case script generation, addresses long-tail issues, and reduces the difficulty of implementation.
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