@article{TsiakasKyrariniKarkaletsisetal.2018,
  author    = {Konstantinos Tsiakas and Maria Kyrarini and Vangelis Karkaletsis and Fillia Makedon and Oliver Korn},
  title     = {A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges},
  series   = {Technologies},
  volume    = {6},
  number    = {4},
  publisher = {MDPI},
  issn      = {2227-7080},
  doi       = {10.3390/technologies6040119},
  pages     = {1 -- 19},
  year      = {2018},
  abstract  = {In this article, 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. Robot-Assisted Training systems have been successfully deployed to enhance the effects of a training session in various contexts, i.e., rehabilitation systems, educational environments, vocational settings, etc. The proposed taxonomy suggests a set of categories and parameters that can be used to characterize such systems, considering the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. To this end, we review recent works and applications in Robot-Assisted Training systems, as well as related taxonomies in Human–Robot Interaction. The goal is to identify and discuss open challenges, highlighting the different aspects of a Robot-Assisted Training system, considering both robot perception and behavior control.},
  language  = {en}
}