User operation trace record playback method for virtual reality training assessment

Abstract

The invention discloses a user operation trace record playback method for virtual reality training assessment. The method comprises: S1, creating a series of data relationship tables in a back-end server according to possible operation behaviors of a user; S2, acquiring an operation behavior of a user in an actual use process in real time, converting the operation behavior into data information, and correspondingly storing the data information in the data relationship table; S3, the front-end system outputting query information to a rear-end server, and the rear-end server outputting a data packet conforming to the query information to the front-end system; and S4, the front-end system receiving and processing the data packet, and reproducing an operation behavior corresponding to the query information based on the processed data packet. The whole set of method is pure data for quantitative measurement, so that the reference is stronger, the comparison is convenient, and the basis of big data analysis is better. The method has the advantages of small total data record amount, no video data, simplicity, easiness in use, convenience in data retrieval and high operation speed.

Description

technical field

[0001] The invention relates to a method for recording and playing back user operation traces for virtual reality training assessment. Background technique

[0002] The overall solution of virtual reality training and assessment has some relatively mature application scenarios, but more platforms only focus on the current immersive experience, while ignoring the records of the user's real operation behavior and experience process details. At the same time, in the virtual reality training and assessment, the real-time image feedback can meet some needs of the training side in real-time guidance, but we hope to use a simple and economical method to use the pictures in the human field of vision to make the real-time training after a period of time After storage, it will be reproduced or played back, so that experts on the training side, including external experts, can conduct further analysis and big data statistics on the operations and behaviors of the trainee...

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