Cognitive Untunneling Multi-View System for Teleoperators of Heavy Machines Based on Visual Momentum and Saliency
Cognitive Untunneling Multi-View System for Teleoperators of Heavy Machines Based on Visual Momentum and Saliency
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基于视觉动量和显着性的重型机械远程操作员认知隧道多视图系统
DOI：
10.1016/j.autcon.2019.103047
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发表时间：
2019
影响因子：
10.3
通讯作者：
Hiroyasu Iwata
中科院分区：
文献类型：
--
作者：
Ryuya Sato;Mitsuhiro Kamezaki;Satoshi Niuchi;Shigeki Sugano;Hiroyasu Iwata
由于缺乏视觉信息，无人施工的工作效率比登船作业低40%左右。因此，以往的研究已经开发了通过添加多个视图来显示丰富视觉信息的方法。然而，提供过多的视觉信息会导致操作员的“认知隧道”，使操作员下意识地关注有限的视图而忽略其他视图。因此，我们开发了一种认知挖掘多视图系统，使操作人员能够根据情况自愿选择合适的视图。基于比例模型的实验结果表明，与传统视角系统相比，所提出的视角系统可以减少工作时间和停机时间，并有助于驾驶员频繁切换视角，从而将注意力从驾驶室视角中释放出来。这些结果表明，所提出的视图系统可以提高工作效率，帮助操作员避免认知隧道。在未来，我们将开发一个系统来识别情况和自动改变观点。
Work efficiency in unmanned construction is about 40% less than that in boarding operation owing to a lack of visual information. Thus, previous studies have developed methods to display rich visual information by adding multiple views. However, providing excess visual information can cause ‘cognitive tunneling’ in operators, which makes operators subconsciously attend to a limited view and ignore others. Therefore, we developed a cognitive untunneling multi-view system that enables operators to voluntarily select appropriate views depending on situations. The experimental results using a scale model indicate that the proposed view system could decrease work time, stoppage time and help operators switch views frequently and release their attention from a cab view compared with a conventional view system. These results suggest that the proposed view system can increase work efficiency and help operators avoid cognitive tunneling. In the future, we will develop a system to identify situations and change views automatically.