Exploring Feedback-based Testing Effects for Skin Reading

Granit Luzhnica, Aleksandra Krajnc, Eduardo Veas

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


Recent studies demonstrate people's ability to interpret vibrotactile encoded symbols and words with a few hours of training. However, reducing the time and effort required to learn the associations between vibrotactile patterns and encoded information remains a challenge and a potential barrier to adopting such a technology. This work investigates how feedback during intermediate testing reinforces the training effect. A study with 25 participants shows that feedback during testing leads to a steeper learning curve and increases participants' confidence during the training procedure.

Original languageEnglish
Title of host publicationProceedings of Augmented Humans Conference 2022, AHs 2022
PublisherAssociation of Computing Machinery
Number of pages6
ISBN (Electronic)9781450396325
Publication statusPublished - 13 Mar 2022
Event2022 Augmented Humans Conference: AHs 2022 - Virtual, Online, Germany
Duration: 13 Mar 202215 Mar 2022

Publication series

NameACM International Conference Proceeding Series


Conference2022 Augmented Humans Conference
Abbreviated titleAHs 2022
CityVirtual, Online


  • feedback-based testing
  • HCI
  • skin reading
  • tactile displays
  • tactile feedback
  • testing
  • training
  • user study
  • wearable

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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