{"title":"A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges","authors":"K. Tsiakas, V. Karkaletsis, F. Makedon","doi":"10.1145/3197768.3197787","DOIUrl":null,"url":null,"abstract":"In this paper, we present a taxonomy in Robot-Assisted Training; a growing body of research in Human-Robot Interaction which focuses on how robotic agents and devices can be used to enhance user's performance during a cognitive or physical training task. The proposed taxonomy includes a set of parameters that characterize such systems, in order to highlight the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. Towards this direction, we review related taxonomies in Human Robot Interaction, as well as recent works and applications in Robot-Assisted Training. The motivation of this research is to identify and discuss issues and challenges, focusing on the personalization aspects of a Robot-Assisted Training system.","PeriodicalId":130190,"journal":{"name":"Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3197768.3197787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In this paper, we present a taxonomy in Robot-Assisted Training; a growing body of research in Human-Robot Interaction which focuses on how robotic agents and devices can be used to enhance user's performance during a cognitive or physical training task. The proposed taxonomy includes a set of parameters that characterize such systems, in order to highlight the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. Towards this direction, we review related taxonomies in Human Robot Interaction, as well as recent works and applications in Robot-Assisted Training. The motivation of this research is to identify and discuss issues and challenges, focusing on the personalization aspects of a Robot-Assisted Training system.
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