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Glove-Enabled Computer Operations (GECO): Design and Testing of an Extravehicular Activity Glove Adapted for Human-Computer Interface

机译:支持手套的计算机操作(GECO):针对人机界面的车外活动手套的设计和测试

摘要

The Glove-Enabled Computer Operations (GECO) system enables an extravehicular activity (EVA) glove to be dual-purposed as a human-computer interface device. This paper describes the design and human participant testing of a right-handed GECO glove in a pressurized glove box. As part of an investigation into the usability of the GECO system for EVA data entry, twenty participants were asked to complete activities including (1) a Simon Says Games in which they attempted to duplicate random sequences of targeted finger strikes and (2) a Text Entry activity in which they used the GECO glove to enter target phrases in two different virtual keyboard modes. In a within-subjects design, both activities were performed both with and without vibrotactile feedback. Participants mean accuracies in correctly generating finger strikes with the pressurized glove were surprisingly high, both with and without the benefit of tactile feedback. Five of the subjects achieved mean accuracies exceeding 99 in both conditions. In Text Entry, tactile feedback provided a statistically significant performance benefit, quantified by characters entered per minute, as well as reduction in error rate. Secondary analyses of responses to a NASA Task Loader Index (TLX) subjective workload assessments reveal a benefit for tactile feedback in GECO glove use for data entry. This first-ever investigation of employment of a pressurized EVA glove for human-computer interface opens up a wide range of future applications, including text chat communications, manipulation of procedureschecklists, cataloguingannotating images, scientific note taking, human-robot interaction, and control of suit andor other EVA systems.
机译:启用手套的计算机操作(GECO)系统可将车外活动(EVA)手套兼作人机界面设备。本文介绍了加压手套箱中右手GECO手套的设计和人体测试。作为对GECO系统用于EVA数据输入的可用性的调查的一部分,二十名参与者被要求完成一些活动,其中包括(1)西蒙说游戏,他们尝试复制有针对性的手指击打的随机序列,以及(2)文本他们使用GECO手套在两种不同的虚拟键盘模式下输入目标短语的输入活动。在受试者内部设计中,两种活动均在有和没有触觉反馈的情况下进行。参与者表示,无论有无触觉反馈,使用加压手套正确产生手指敲击的准确性都很高。在两种情况下,有五名受试者的平均准确度均超过99。在文本输入中,触觉反馈提供了统计上显着的性能优势,可以通过每分钟输入的字符进行量化,并且可以减少错误率。对NASA任务装载者指数(TLX)主观工作量评估的响应的二次分析显示,GECO手套用于数据输入时,触觉反馈会有所帮助。这项关于使用加压EVA手套用于人机界面的首次调查打开了广泛的未来应用程序,包括文本聊天通讯,程序清单操作,目录注释图像,科学笔记,人机交互以及对机器人的控制。适合和/或其他EVA系统。

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