How Could I Learn Rhythm Better? Investigating Three Learning Signals for Passive Haptic Learning in Different Context

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Likun Fang - , Karlsruhe Institute of Technology (Author)
  • Erik Pescara - , Karlsruhe Institute of Technology (Author)
  • Patrick Reiter - , Karlsruhe Institute of Technology (Author)
  • Michael Beigl - , Karlsruhe Institute of Technology (Author)

Abstract

Passive Haptic Learning (PHL) is the process of learning to perform a certain task without paying attention to it. In this paper, we invited 24 participants (evenly divided into 3 groups), and taught them a simple rhythm through the use of haptic, auditory and haptic & auditory signals. The subjects were then tested to reproduce the rhythms on a keyboard and ukulele. We inspected and analyzed the data from two aspects: duration and timing. We found that the difference in instruments and learning groups will be of significance when looking at the duration of notes and pauses. The participants provided both haptic and auditory signals during the learning phase achieved the best performance on duration of notes and pauses. Regarding the timing of the notes within the rhythm.

Details

Original languageEnglish
Title of host publicationACM PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
Pages279–283
Number of pages5
ISBN (electronic)9798400700699
Publication statusPublished - 5 Jul 2023
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 85170368122

Keywords

Keywords

  • Haptic, Human-Computer-Interaction, Passive Haptic Learning, Wearable Computing