{"title":"Online Surveying System for Experimentally Testing the Human Perception of Visual Gestures","authors":"Márk Domonkos, Ádám Tresó, János Botzheim","doi":"10.1109/ICARA56516.2023.10125860","DOIUrl":null,"url":null,"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.","PeriodicalId":443572,"journal":{"name":"2023 9th International Conference on Automation, Robotics and Applications (ICARA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 9th International Conference on Automation, Robotics and Applications (ICARA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARA56516.2023.10125860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.