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

    SeriesLecture Notes in Computer Science
    Volume10474 LNCS
    ISSN0302-9743

    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).
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    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

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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 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