Antonino Bongiovanni, A. Luca, Luna Gava, Lucrezia Grassi, Marta Lagomarsino, M. Lapolla, Antonio Marino, Patrick Roncagliolo, Simone Macciò, A. Carfì, F. Mastrogiovanni
{"title":"Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study","authors":"Antonino Bongiovanni, A. Luca, Luna Gava, Lucrezia Grassi, Marta Lagomarsino, M. Lapolla, Antonio Marino, Patrick Roncagliolo, Simone Macciò, A. Carfì, F. Mastrogiovanni","doi":"10.48550/arXiv.2207.03783","DOIUrl":null,"url":null,"abstract":"Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI, the validity of currently available human-machine communication media or tools should be questioned, and new communication modalities should be explored. This article proposes a modular architecture allowing human operators to interact with robots through different modalities. In particular, we implemented the architecture to handle gestural and touchscreen input, respectively, using a smartwatch and a tablet. Finally, we performed a comparative user experience study between these two modalities.","PeriodicalId":385930,"journal":{"name":"Annual Meeting of the IEEE Industry Applications Society","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Meeting of the IEEE Industry Applications Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2207.03783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI, the validity of currently available human-machine communication media or tools should be questioned, and new communication modalities should be explored. This article proposes a modular architecture allowing human operators to interact with robots through different modalities. In particular, we implemented the architecture to handle gestural and touchscreen input, respectively, using a smartwatch and a tablet. Finally, we performed a comparative user experience study between these two modalities.