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

Jonathan Shachter; Maria Kangas; Naomi Sweller; Jeffrey Stewart

doi:10.1007/978-3-030-50726-8_51

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 proceeding › Conference proceeding contribution › peer-review

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 language	English
Title of host publication	HCI International 2020 - posters
Subtitle of host publication	22nd International Conference, HCII 2020, Proceedings
Editors	Constantine Stephanidis, Margherita Antona
Place of Publication	Switzerland
Publisher	Springer
Pages	385-392
Number of pages	8
ISBN (Electronic)	9783030507268
ISBN (Print)	9783030507251
DOIs	https://doi.org/10.1007/978-3-030-50726-8_51
Publication status	Published - 2020
Event	22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark Duration: 19 Jul 2020 → 24 Jul 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1224
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	22nd International Conference on Human-Computer Interaction, HCII 2020
Country/Territory	Denmark
City	Copenhagen
Period	19/07/20 → 24/07/20

Keywords

language learning anxiety
Fitbit
heart rate

Access to Document

10.1007/978-3-030-50726-8_51

Cite this

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). Springer. https://doi.org/10.1007/978-3-030-50726-8_51

Shachter, Jonathan ; Kangas, Maria ; Sweller, Naomi et al. / Proof of concept for an indicator of learner anxiety via wearable fitness trackers. HCI International 2020 - posters: 22nd International Conference, HCII 2020, Proceedings. editor / Constantine Stephanidis ; Margherita Antona. Switzerland : Springer, 2020. pp. 385-392 (Communications in Computer and Information Science).

@inproceedings{7d0eb82e59d4426c8f37004192b94ef9,

title = "Proof of concept for an indicator of learner anxiety via wearable fitness trackers",

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.",

keywords = "language learning anxiety, Fitbit, heart rate",

author = "Jonathan Shachter and Maria Kangas and Naomi Sweller and Jeffrey Stewart",

year = "2020",

doi = "10.1007/978-3-030-50726-8\_51",

language = "English",

isbn = "9783030507251",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "385--392",

editor = "Constantine Stephanidis and Margherita Antona",

booktitle = "HCI International 2020 - posters",

note = "22nd International Conference on Human-Computer Interaction, HCII 2020 ; Conference date: 19-07-2020 Through 24-07-2020",

}

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. Communications in Computer and Information Science, vol. 1224, Springer, Switzerland, pp. 385-392, 22nd International Conference on Human-Computer Interaction, HCII 2020, Copenhagen, Denmark, 19/07/20. https://doi.org/10.1007/978-3-030-50726-8_51

Proof of concept for an indicator of learner anxiety via wearable fitness trackers. / Shachter, Jonathan; Kangas, Maria ; Sweller, Naomi et al.
HCI International 2020 - posters: 22nd International Conference, HCII 2020, Proceedings. ed. / Constantine Stephanidis; Margherita Antona. Switzerland: Springer, 2020. p. 385-392 (Communications in Computer and Information Science; Vol. 1224).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Proof of concept for an indicator of learner anxiety via wearable fitness trackers

AU - Shachter, Jonathan

AU - Kangas, Maria

AU - Sweller, Naomi

AU - Stewart, Jeffrey

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - language learning anxiety

KW - Fitbit

KW - heart rate

UR - https://www.scopus.com/pages/publications/85088753389

U2 - 10.1007/978-3-030-50726-8_51

DO - 10.1007/978-3-030-50726-8_51

M3 - Conference proceeding contribution

AN - SCOPUS:85088753389

SN - 9783030507251

T3 - Communications in Computer and Information Science

SP - 385

EP - 392

BT - HCI International 2020 - posters

A2 - Stephanidis, Constantine

A2 - Antona, Margherita

PB - Springer

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T2 - 22nd International Conference on Human-Computer Interaction, HCII 2020

Y2 - 19 July 2020 through 24 July 2020

ER -

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

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

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