Defining extended reality training: A long-term definition for all industries

Fabrizio Palmas, Gudrun Klinker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

42 Scopus citations

Abstract

In order to keep up with technological developments and to be able to work efficiently, the training methodology must be kept up to date. A typical approach when innovating corporate training is to adopt new technologies. We attempt to deliver a common set of characterisations and concepts that allow us to classify and define extended reality training.

Original languageEnglish
Title of host publicationProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020
EditorsMaiga Chang, Demetrios G Sampson, Ronghuai Huang, Danial Hooshyar, Nian-Shing Chen, Kinshuk Kinshuk, Margus Pedaste
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages322-324
Number of pages3
ISBN (Electronic)9781728160900
DOIs
StatePublished - Jul 2020
Event20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 - Virtual, Online, Estonia
Duration: 6 Jul 20209 Jul 2020

Publication series

NameProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020

Conference

Conference20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020
Country/TerritoryEstonia
CityVirtual, Online
Period6/07/209/07/20

Keywords

  • Corporate training
  • Digital transformation
  • Extended reality
  • Extended reality training
  • Gamification
  • Xr training

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