Open AccessTraining Platform for Continuous Casting Based on Multi-Model Interactions
Author(s) -
Xianfeng Gu,
Kuo Kan,
Yucheng Guo
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1288/1/012021
Subject(s) - mode (computer interface) , computer science , human–computer interaction , human interaction , interaction model , simulation , world wide web
Currently, the human-computer interaction technology, as the core technology of virtual reality, has been developing rapidly. By analyzing the advantages and disadvantages of the mainstream interactive equipment used in today’s market and combining the advantages of the equipment, this paper posed a continuous casting training platform with multiple interactive modes. In this platform, the keyboard and mouse interaction mode, contact interaction mode and VR device interaction mode could be simultaneously applied to continuous casting training, which enables to give play to the characteristics of different interaction modes. Comparing with the single interaction mode, it proved that this platform would improve the efficiency of user interaction and enhance the training effect, as well as to propose a reference for human-computer interaction mode.