Immersive Analytics Through HoloSENAI MOTOR Mixed Reality App

Ramos, André L. M.; Korb, Thiago and Okada, Alexandra (2019). Immersive Analytics Through HoloSENAI MOTOR Mixed Reality App. In: Intelligent Computing: Proceedings of the 2019 Computing Conference, Vol. 1, Advances in Intelligent Systems and Computing (AISC), Springer, pp. 1259–1268.

DOI: https://doi.org/10.1007/978-3-030-22868-2_89

Abstract

This study examines the use of HoloSENAI MOTOR as novel approach for preparing students and professionals for the industry 4.0. This new Augmented Reality technology was developed with UNIT3D and C# language for the Microsoft HoloLens®. This educational resource enables the projection of 3D scenes of a real electric motor into the natural world environment. It was used by undergraduates from an Engineering course in Brazil. Our aim is to identify the potential benefits and barriers to promote immersive analytics and authoring skills through HoloSENAI MOTOR for learning and teaching. We present Immersive Analytics as an approach that combines real-time interaction with visualization techniques for students to explore and analyze information about the motor in their physical environment. This study is based on Responsible Research and Innovation approach and supported by e-authentication and authorship verification TeSLA. It revealed that the key benefits for learners were to increase their motivation, curiosity and understanding in terms of features, properties and functionalities of the motor, including better acquisition of information and data analysis skills. They key barriers highlighted by educational technologies, were the high cost equipment, the technical development of applications and the pedagogical approaches for assessment.

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