Online Surveying System for Experimentally Testing the Human Perception of Visual Gestures

Márk Domonkos, Ádám Tresó, János Botzheim
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Abstract

In this paper, we would like to emphasize the need for an intuitive and easy-to-understand way of communication during a Human-Robot Collaboration (HRC) mainly in industrial scenarios. With the new communication design, the mental demands of the human workforce during collaboration can be lowered by the feedback given by the robot in a situation-aware way. This kind of feedback in close cooperation can maintain high importance in a manufacturing scenario. Another goal of this paper is to present the progress of former research that similarly dealt with visual signals during HRC. The goal during the design of the proposed novel methodology was to make the research of visual gestures in Human-Robot Interactions more effective and flexible. To address these demands an online surveying application is introduced and an initial proof of concept nature test was also conducted. During the investigation, we introduced emotional states in the test as a supporting modality for later use. From the analysis, we concluded that visual signals do have properties that can affect the perception of the viewer.
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实验测试人类视觉手势感知的在线测量系统
在本文中,我们想强调在人机协作(HRC)期间,主要在工业场景中需要一种直观且易于理解的通信方式。在新的沟通设计中,机器人可以通过情境感知的方式给出反馈,从而降低人力在协作过程中的心理需求。这种密切合作的反馈在制造场景中可以保持高度的重要性。本文的另一个目的是介绍以前的研究进展,类似地处理HRC期间的视觉信号。设计新方法的目的是使人机交互中视觉手势的研究更加有效和灵活。为了满足这些需求,引入了在线测量应用程序,并进行了初步的概念验证性质测试。在调查过程中,我们在测试中引入了情绪状态,作为以后使用的辅助模态。从分析中,我们得出结论,视觉信号确实具有影响观看者感知的特性。
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