Reichold, JohannesAgrawal, AnkitaThurlings, MariekeCohen, IrisWeber-Fiori, BarbaraRölle, AnitaHassan, MuneebDürr, MaximilianPfeil, UlrikePape, Anna-AntoniaGrünert, GerdSchmidt, ArturPfeil, MarkusFäßler, VictorJauch, VolkerReiterer, HaraldWinter, MaikErtel, WolfgangEberhardt, JörgBurghardt, ManuelWimmer, RaphaelWolff, ChristianWomser-Hacker, Christa2017-08-092017-08-092017https://dl.gi.de/handle/20.500.12116/3197The research project ERTRAG, funded by the German Federal Ministry of Education and Research, aims to develop a virtual ergonomics trainer for nursing as well as elderly care education. The trainer supports apprentices conducting the care related motions in an ergonomically correct fashion, thereby helping to prevent work-related health problems such as dorsal pain. The user interface of the ERTRAG system for instruction and feedback adjusts to the individual preferences and needs, as well as to the current cognitive state of the user. This adaptive, highly customizable human-machine interaction fosters effective and long-lasting learning.enEmbodied cognitionsituated learningcognitive loadmachine learningmotion captureText/Conference Paper10.18420/muc2017-ws08-0311