Affordances for Capturing and Re-enacting Expert Performance with Wearables

Will Guest; Fridolin Wild; Alla Vovk; Mikhail Fominykh; Bibeg Limbu; Roland Klemke; Puneet Sharma; Jaakko Karjalainen; Carl H. Smith; Jazz Rasool; Soyeb Aswat; Kaj Helin; Daniele Di Mitri; Jan Schneider

doi:10.1007/978-3-319-66610-5_34

Affordances for Capturing and Re-enacting Expert Performance with Wearables

Will Guest, Fridolin Wild, Alla Vovk, Mikhail Fominykh, Bibeg Limbu, Roland Klemke, Puneet Sharma, Jaakko Karjalainen, Carl H. Smith, Jazz Rasool, Soyeb Aswat, Kaj Helin, Daniele Di Mitri, Jan Schneider

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

Abstract

The WEKIT.one prototype is a platform for immersive procedural training with wearable sensors and Augmented Reality. Focusing on capture and re-enactment of human expertise, this work looks at the unique affordances of suitable hard- and software technologies. The practical challenges of interpreting expertise, using suitable sensors for its capture and specifying the means to describe and display to the novice are of central significance here. We link affordances with hardware devices, discussing their alternatives, including Microsoft Hololens, Thalmic Labs MYO, Alex Posture sensor, MyndPlay EEG headband, and a heart rate sensor. Following the selection of sensors, we describe integration and communication requirements for the prototype. We close with thoughts on the wider possibilities for implementation and next steps.

Original language	Undefined
Title of host publication	Data Driven Approaches in Digital Education
Editors	Élise Lavoué, Hendrik Drachsler, Katrien Verbert, Julien Broisin, Mar Pérez-Sanagustín
Place of Publication	Cham
Publisher	Springer, Cham
Pages	403-409
Number of pages	7
Volume	10474
Edition	1
ISBN (Electronic)	978-3-319-66610-5
ISBN (Print)	978-3-319-66609-9
DOIs	https://doi.org/10.1007/978-3-319-66610-5_34
Publication status	Published - 5 Sept 2017
Event	12th European Conference on Technology Enhanced Learning: Data Driven Approaches in Digital Education - Tallinn, Estonia Duration: 12 Sept 2017 → 15 Sept 2017 http://ectel2017.httc.de/index.php?id=777

Publication series

Series	Lecture Notes in Computer Science
Volume	10474
ISSN	0302-9743

Conference

Conference	12th European Conference on Technology Enhanced Learning
Abbreviated title	EC-TEL 2017
Country/Territory	Estonia
City	Tallinn
Period	12/09/17 → 15/09/17
Internet address	http://ectel2017.httc.de/index.php?id=777

Access to Document

10.1007/978-3-319-66610-5_34

Cite this

Guest, W., Wild, F., Vovk, A., Fominykh, M., Limbu, B., Klemke, R., Sharma, P., Karjalainen, J., Smith, C. H., Rasool, J., Aswat, S., Helin, K., Mitri, D. D., & Schneider, J. (2017). Affordances for Capturing and Re-enacting Expert Performance with Wearables. In É. Lavoué, H. Drachsler, K. Verbert, J. Broisin, & M. Pérez-Sanagustín (Eds.), Data Driven Approaches in Digital Education (1 ed., Vol. 10474, pp. 403-409). Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_34

Guest, Will ; Wild, Fridolin ; Vovk, Alla et al. / Affordances for Capturing and Re-enacting Expert Performance with Wearables. Data Driven Approaches in Digital Education. editor / Élise Lavoué ; Hendrik Drachsler ; Katrien Verbert ; Julien Broisin ; Mar Pérez-Sanagustín. Vol. 10474 1. ed. Cham : Springer, Cham, 2017. pp. 403-409 (Lecture Notes in Computer Science, Vol. 10474).

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abstract = "The WEKIT.one prototype is a platform for immersive procedural training with wearable sensors and Augmented Reality. Focusing on capture and re-enactment of human expertise, this work looks at the unique affordances of suitable hard- and software technologies. The practical challenges of interpreting expertise, using suitable sensors for its capture and specifying the means to describe and display to the novice are of central significance here. We link affordances with hardware devices, discussing their alternatives, including Microsoft Hololens, Thalmic Labs MYO, Alex Posture sensor, MyndPlay EEG headband, and a heart rate sensor. Following the selection of sensors, we describe integration and communication requirements for the prototype. We close with thoughts on the wider possibilities for implementation and next steps.",

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Guest, W, Wild, F, Vovk, A, Fominykh, M, Limbu, B, Klemke, R, Sharma, P, Karjalainen, J, Smith, CH, Rasool, J, Aswat, S, Helin, K, Mitri, DD & Schneider, J 2017, Affordances for Capturing and Re-enacting Expert Performance with Wearables. in É Lavoué, H Drachsler, K Verbert, J Broisin & M Pérez-Sanagustín (eds), Data Driven Approaches in Digital Education. 1 edn, vol. 10474, Springer, Cham, Cham, Lecture Notes in Computer Science, vol. 10474, pp. 403-409, 12th European Conference on Technology Enhanced Learning, Tallinn, Estonia, 12/09/17. https://doi.org/10.1007/978-3-319-66610-5_34

Affordances for Capturing and Re-enacting Expert Performance with Wearables. / Guest, Will; Wild, Fridolin; Vovk, Alla et al.
Data Driven Approaches in Digital Education. ed. / Élise Lavoué; Hendrik Drachsler; Katrien Verbert; Julien Broisin; Mar Pérez-Sanagustín. Vol. 10474 1. ed. Cham: Springer, Cham, 2017. p. 403-409 (Lecture Notes in Computer Science, Vol. 10474).

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

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AU - Klemke, Roland

AU - Sharma, Puneet

AU - Karjalainen, Jaakko

AU - Smith, Carl H.

AU - Rasool, Jazz

AU - Aswat, Soyeb

AU - Helin, Kaj

AU - Mitri, Daniele Di

AU - Schneider, Jan

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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Guest W, Wild F, Vovk A, Fominykh M, Limbu B, Klemke R et al. Affordances for Capturing and Re-enacting Expert Performance with Wearables. In Lavoué É, Drachsler H, Verbert K, Broisin J, Pérez-Sanagustín M, editors, Data Driven Approaches in Digital Education. 1 ed. Vol. 10474. Cham: Springer, Cham. 2017. p. 403-409. (Lecture Notes in Computer Science, Vol. 10474). doi: 10.1007/978-3-319-66610-5_34

Affordances for Capturing and Re-enacting Expert Performance with Wearables

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