Logo des Repositoriums
 

Human-Machine Interaction in Care-Education

dc.contributor.authorReichold, Johannes
dc.contributor.authorAgrawal, Ankita
dc.contributor.authorThurlings, Marieke
dc.contributor.authorCohen, Iris
dc.contributor.authorWeber-Fiori, Barbara
dc.contributor.authorRölle, Anita
dc.contributor.authorHassan, Muneeb
dc.contributor.authorDürr, Maximilian
dc.contributor.authorPfeil, Ulrike
dc.contributor.authorPape, Anna-Antonia
dc.contributor.authorGrünert, Gerd
dc.contributor.authorSchmidt, Artur
dc.contributor.authorPfeil, Markus
dc.contributor.authorFäßler, Victor
dc.contributor.authorJauch, Volker
dc.contributor.authorReiterer, Harald
dc.contributor.authorWinter, Maik
dc.contributor.authorErtel, Wolfgang
dc.contributor.authorEberhardt, Jörg
dc.contributor.editorBurghardt, Manuel
dc.contributor.editorWimmer, Raphael
dc.contributor.editorWolff, Christian
dc.contributor.editorWomser-Hacker, Christa
dc.date.accessioned2017-08-09T20:56:41Z
dc.date.available2017-08-09T20:56:41Z
dc.date.issued2017
dc.description.abstractThe 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.en
dc.identifier.doi10.18420/muc2017-ws08-0311
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/3197
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2017 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectEmbodied cognition
dc.subjectsituated learning
dc.subjectcognitive load
dc.subjectmachine learning
dc.subjectmotion capture
dc.titleHuman-Machine Interaction in Care-Educationen
dc.typeText/Conference Paper
gi.citation.publisherPlaceRegensburg
gi.conference.date10.-13. September 2017
gi.conference.locationRegensburg
gi.conference.sessiontitleMCI-WS08: 10. Workshop „Be-greifbare Interaktion“
gi.document.qualitydigidoc

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
2017_WS08_311.pdf
Größe:
397.55 KB
Format:
Adobe Portable Document Format