Proof of concept for an indicator of learner anxiety via wearable fitness trackers

Jonathan Shachter*, Maria Kangas, Naomi Sweller, Jeffrey Stewart

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The Fitbit Data Collection System (FDCS) is designed to facilitate measuring heart rate response related to Language Learning (LL) anxiety. Using Fitbit Wristbands and the Fitbit Cloud, the FDCS can track the heart rates for multiple test subjects on-demand or automatically. This data can be aggregated, synchronized and transferred directly to a statistical program for further analysis. This paper provides researchers with an explanation of why the tool was built, its functionality and how it will be used in a forthcoming LL anxiety study.

Original languageEnglish
Title of host publicationHCI International 2020 - posters
Subtitle of host publication22nd International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Margherita Antona
Place of PublicationSwitzerland
PublisherSpringer
Pages385-392
Number of pages8
ISBN (Electronic)9783030507268
ISBN (Print)9783030507251
DOIs
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameCommunications in Computer and Information Science
Volume1224
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • language learning anxiety
  • Fitbit
  • heart rate

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    Shachter, J., Kangas, M., Sweller, N., & Stewart, J. (2020). Proof of concept for an indicator of learner anxiety via wearable fitness trackers. In C. Stephanidis, & M. Antona (Eds.), HCI International 2020 - posters: 22nd International Conference, HCII 2020, Proceedings (pp. 385-392). (Communications in Computer and Information Science; Vol. 1224). Switzerland: Springer. https://doi.org/10.1007/978-3-030-50726-8_51