Digital Peer-tutoring: Early Results from a Field Evaluation of a UX at Work Learning Format in SMEs

Torkil Clemmensen*, Jacob Nørbjerg

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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Abstract

Digital Peer-Tutoring is a new learning format that enables production workers in Small to Medium Sized Enterprises (SMEs) to co-design their interaction with assistive technologies such as collaborative robots. The video-based learning format is based on design thinking and helps shop floor workers create and document solutions to robot interaction problems, and share their how-to knowledge with their colleagues. Early field evaluation results indicated that workers benefit from the Digital Peer-tutoring learning format and produced how-to videos for their colleagues. Furthermore, the Digital Peer-tutoring learning format was also found useful by the company management and ownership as means of documentation and customer communication. Thus, the learning format can also support SMEs on their path to digitalization.
OriginalsprogEngelsk
TitelBeyond Interactions : INTERACT 2019 IFIP TC 13 Workshops, Paphos, Cyprus, September 2–6, 2019, Revised Selected Papers
RedaktørerJosé Abdelnour Nocera, David Lamas, Antigoni Parmaxi, Marco Winckler, Fernando Loizides, Carmelo Ardito, Ganesh Bhutkar, Peter Dannenmann
Antal sider7
UdgivelsesstedCham
ForlagSpringer
Publikationsdato2020
Sider52-58
ISBN (Trykt)9783030465391
ISBN (Elektronisk)9783030465407
DOI
StatusUdgivet - 2020
BegivenhedThe 17th IFIP TC.13 International Conference on Human-Computer Interaction. INTERACT 2019 - Cyprus University of Technology, Paphos, Cypern
Varighed: 2 sep. 20196 sep. 2019
Konferencens nummer: 17
https://interact2019.org/

Konference

KonferenceThe 17th IFIP TC.13 International Conference on Human-Computer Interaction. INTERACT 2019
Nummer17
LokationCyprus University of Technology
Land/OmrådeCypern
ByPaphos
Periode02/09/201906/09/2019
Internetadresse
NavnLecture Notes in Computer Science
Vol/bind11930
ISSN0302-9743

Emneord

  • Collaborative robots
  • Assistive technologies
  • UX at work

Citationsformater