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

Torkil Clemmensen*, Jacob Nørbjerg

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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.
Original languageEnglish
Title of host publicationBeyond Interactions : INTERACT 2019 IFIP TC 13 Workshops, Paphos, Cyprus, September 2–6, 2019, Revised Selected Papers
EditorsJosé Abdelnour Nocera, David Lamas, Antigoni Parmaxi, Marco Winckler, Fernando Loizides, Carmelo Ardito, Ganesh Bhutkar, Peter Dannenmann
Number of pages7
Place of PublicationCham
PublisherSpringer
Publication date2020
Pages52-58
ISBN (Print)9783030465391
ISBN (Electronic)9783030465407
DOIs
Publication statusPublished - 2020
EventThe 17th IFIP TC.13 International Conference on Human-Computer Interaction. INTERACT 2019 - Cyprus University of Technology, Paphos, Cyprus
Duration: 2 Sept 20196 Sept 2019
Conference number: 17
https://interact2019.org/

Conference

ConferenceThe 17th IFIP TC.13 International Conference on Human-Computer Interaction. INTERACT 2019
Number17
LocationCyprus University of Technology
Country/TerritoryCyprus
CityPaphos
Period02/09/201906/09/2019
Internet address
SeriesLecture Notes in Computer Science
Volume11930
ISSN0302-9743

Keywords

  • Collaborative robots
  • Assistive technologies
  • UX at work

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