WEKIT.One: A Sensor-Based Augmented Reality System for Experience Capture and Re-enactment

Bibeg Limbu*, Alla Vovk, Halszka Jarodzka, Roland Klemke, Fridolin Wild, Marcus Specht

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


    Body-worn sensors can be used to capture, analyze, and replay human performance for training purposes. The key challenge to any such approach is to establish validity that the captured expert experience is actually suitable for training. In this paper, to evaluate this, we apply a questionnaire-based expert assessment and a complementary trainee knowledge assessment to study the approach adopted and the models generated with the WEKIT solution, a hardware and software application that complements Augmented Reality glasses with wearable sensor-actuator experience. This solution was developed using the ID4AR framework which as also developed within the WEKIT project. ID4AR framework is a domain agnostic framework which can be used to design augmented reality and sensor based applications for training. The study presented triangulates validity across three independent test-beds in the professional domains of aircraft maintenance, medical imaging, and astronaut training, with 61 experts completing the expert survey and 337 students completing the trainee knowledge test. Results show that the captured expert models were positively received in all three domains and the identified level of acceptance suggests that the solution is capable of capturing models for training purposes at large.
    Original languageEnglish
    Title of host publicationTransforming Learning with Meaningful Technologies
    Subtitle of host publication14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16–19, 2019, Proceedings
    EditorsMaren Scheffel, Julien Broisin, Viktoria Pammer-Schindler, Andri Ioannou, Jan Schneider
    Place of PublicationCham
    Number of pages14
    ISBN (Electronic)9783030297367
    ISBN (Print)9783030297350
    Publication statusPublished - 9 Sept 2019
    Event14th European Conference on Technology Enhanced Learning: Transforming Learning With Meaningful Technologies - The Leiden-Delft-Erasmus Center for Education and Learning , Delft, Netherlands
    Duration: 16 Sept 201919 Sept 2019
    Conference number: 2019

    Publication series

    SeriesLecture Notes in Computer Science


    Conference14th European Conference on Technology Enhanced Learning
    Abbreviated titleEC-TEL 2019
    Internet address


    • Augmented Reality
    • Expert model
    • Sensors
    • Training


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