Affordances for capturing and re-enacting expert performance with wearables

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

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

3 Citations (Scopus)

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 languageEnglish
Title of host publicationData Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings
EditorsJulien Broisin, Elise Lavoue, Hendrik Drachsler, Katrien Verbert, Mar Perez-Sanagustin
PublisherSpringer
Pages403-409
Number of pages7
ISBN (Print)978-3-319-66609-9, 978-3-319-66610-5
DOIs
Publication statusPublished - 1 Jan 2017
MoE publication typeA4 Article in a conference publication
EventEuropean Conference on Technology Enhanced Learning, EC-TEL 2017 - Tallinn, Estonia
Duration: 12 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10474 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEuropean Conference on Technology Enhanced Learning, EC-TEL 2017
Abbreviated titleEC-TEL 2017
CountryEstonia
CityTallinn
Period12/09/1715/09/17

Fingerprint

Affordances
Sensor
Sensors
Expertise
Hardware
Augmented reality
Prototype
Electroencephalography
Augmented Reality
Heart Rate
Communication
Software
Alternatives
Requirements

Keywords

  • affordances
  • augmented reality
  • wearable technologies
  • capturing expertise

Cite this

Guest, W., Wild, F., Vovk, A., Fominykh, M., Limbu, B., Klemke, R., ... Schneider, J. (2017). Affordances for capturing and re-enacting expert performance with wearables. In J. Broisin, E. Lavoue, H. Drachsler, K. Verbert, & M. Perez-Sanagustin (Eds.), Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings (pp. 403-409). Springer. Lecture Notes in Computer Science, Vol.. 10474 LNCS https://doi.org/10.1007/978-3-319-66610-5_34
Guest, Will ; Wild, Fridolin ; Vovk, Alla ; Fominykh, Mikhail ; Limbu, Bibeg ; Klemke, Roland ; Sharma, Puneet ; Karjalainen, Jaakko ; Smith, Carl ; Rasool, Jazz ; Aswat, Soyeb ; Helin, Kaj ; Di Mitri, Daniele ; Schneider, Jan. / Affordances for capturing and re-enacting expert performance with wearables. Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings. editor / Julien Broisin ; Elise Lavoue ; Hendrik Drachsler ; Katrien Verbert ; Mar Perez-Sanagustin. Springer, 2017. pp. 403-409 (Lecture Notes in Computer Science, Vol. 10474 LNCS).
@inproceedings{8e208fa33f3641ea8085ef778f061d00,
title = "Affordances for capturing and re-enacting expert performance with wearables",
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.",
keywords = "affordances, augmented reality, wearable technologies, capturing expertise",
author = "Will Guest and Fridolin Wild and Alla Vovk and Mikhail Fominykh and Bibeg Limbu and Roland Klemke and Puneet Sharma and Jaakko Karjalainen and Carl Smith and Jazz Rasool and Soyeb Aswat and Kaj Helin and {Di Mitri}, Daniele and Jan Schneider",
note = "SDA: SHP: ForIndustry",
year = "2017",
month = "1",
day = "1",
doi = "10.1007/978-3-319-66610-5_34",
language = "English",
isbn = "978-3-319-66609-9",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "403--409",
editor = "Julien Broisin and Elise Lavoue and Hendrik Drachsler and Katrien Verbert and Mar Perez-Sanagustin",
booktitle = "Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings",
address = "Germany",

}

Guest, W, Wild, F, Vovk, A, Fominykh, M, Limbu, B, Klemke, R, Sharma, P, Karjalainen, J, Smith, C, Rasool, J, Aswat, S, Helin, K, Di Mitri, D & Schneider, J 2017, Affordances for capturing and re-enacting expert performance with wearables. in J Broisin, E Lavoue, H Drachsler, K Verbert & M Perez-Sanagustin (eds), Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings. Springer, Lecture Notes in Computer Science, vol. 10474 LNCS, pp. 403-409, European Conference on Technology Enhanced Learning, EC-TEL 2017, 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 (Corresponding author); Fominykh, Mikhail; Limbu, Bibeg; Klemke, Roland; Sharma, Puneet; Karjalainen, Jaakko; Smith, Carl; Rasool, Jazz; Aswat, Soyeb; Helin, Kaj; Di Mitri, Daniele; Schneider, Jan.

Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings. ed. / Julien Broisin; Elise Lavoue; Hendrik Drachsler; Katrien Verbert; Mar Perez-Sanagustin. Springer, 2017. p. 403-409 (Lecture Notes in Computer Science, Vol. 10474 LNCS).

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

TY - GEN

T1 - Affordances for capturing and re-enacting expert performance with wearables

AU - Guest, Will

AU - Wild, Fridolin

AU - Vovk, Alla

AU - Fominykh, Mikhail

AU - Limbu, Bibeg

AU - Klemke, Roland

AU - Sharma, Puneet

AU - Karjalainen, Jaakko

AU - Smith, Carl

AU - Rasool, Jazz

AU - Aswat, Soyeb

AU - Helin, Kaj

AU - Di Mitri, Daniele

AU - Schneider, Jan

N1 - SDA: SHP: ForIndustry

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - affordances

KW - augmented reality

KW - wearable technologies

KW - capturing expertise

UR - http://www.scopus.com/inward/record.url?scp=85029576433&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-66610-5_34

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

M3 - Conference article in proceedings

SN - 978-3-319-66609-9

SN - 978-3-319-66610-5

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 403

EP - 409

BT - Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings

A2 - Broisin, Julien

A2 - Lavoue, Elise

A2 - Drachsler, Hendrik

A2 - Verbert, Katrien

A2 - Perez-Sanagustin, Mar

PB - Springer

ER -

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 Broisin J, Lavoue E, Drachsler H, Verbert K, Perez-Sanagustin M, editors, Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings. Springer. 2017. p. 403-409. (Lecture Notes in Computer Science, Vol. 10474 LNCS). https://doi.org/10.1007/978-3-319-66610-5_34