探索采矿工业工人接受混合现实技术创新的情况
Wecka Imam Yudhistyra1, Chalita Srinuan1
1KMITL Business School, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand.
Acta psychologica
|November 1, 2024
概括
混合现实 (MR) 技术可以提高采矿生产率. 工人接受受到态度,感知到的有用性和兼容性的影响,而不是易用性或新性.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 混合现实 (MR) 技术为采矿业提供了变革性的潜力.
- 关于MR技术在采矿中的接受程度的研究有限,造成了采用不确定性.
- 了解工人接受因素对于成功地在采矿中实施MR至关重要.
研究的目的:
- 确定和测试影响采矿工人接受混合现实 (MR) 技术的因素.
- 提供一个可靠的模型来预测矿业部门的MR采用.
主要方法:
- 一项文献审查确定了影响MR接受的五个假设因素.
- 通过办公室拦截调查,从253名矿业工人中收集了数据.
- 使用SmartPLS软件进行数据分析,确保模型的稳定性.
主要成果:
- 态度,感知到的有用性和感知到的兼容性显著影响MR技术在采矿中的接受.
- 感知到的新奇性会影响态度,但不会直接接受.
- 感知到的易用性不会显著影响态度或采用意图.
结论:
- 态度,感知到的有用性和兼容性是采矿中MR采用的关键驱动因素.
- 针对这些因素的有针对性的战略可以加强MR技术的实施.
- 结果为采矿公司提供理论见解和实际指导.
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