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MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows

Bovo, Riccardo; Giunchi, Daniele; Steed, Anthony; Heinis, Thomas; (2022) MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows. In: Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). (pp. pp. 766-767). IEEE: Christchurch, New Zealand. Green open access

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Abstract

We present MR-RIEW, a toolkit for virtual and mixed reality that provides researchers with a dynamic way to design an immersive experiment workflow including instructions, environments, sessions, trials and questionnaires. It is implemented in Unity via scriptable objects, allowing simple customisation. The graphic elements, the scenes and the questionnaires can be selected and associated without code. MR-RIEW can save locally into the headset and remotely the questionnaire's answers. MR-RIEW is connected to Google Firebase service for the remote solution requiring a minimal configuration.

Type: Proceedings paper
Title: MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows
Event: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Location: virtual conference
ISBN-13: 978-1-6654-8402-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/VRW55335.2022.00234
Publisher version: https://doi.org/10.1109/VRW55335.2022.00234
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Human-centered computing, Mixed Reality
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10149126
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