IMI Showtime - HTW Berlin

Intro

Rapid advancements in Virtual Reality (VR) technology have transformed what was once dismissed by many as a ‘gimmick’ into a rapidly evolving realm with practical applications. Companies like Meta and Valve now prioritize the development of VR technologies, pushing to integrate it more and more into the media landscape. The Covid-19 pandemic further accelerated the shift of education into the virtual space, emphasizing the growing importance of immersive learning experiences. In this context, our study focuses on examining the visual impact of VR learning, specifically exploring the potential of avatars to enhance educational experiences within this evolving virtual landscape.

Concept

The creation of the testing environment involved the construction of an immersive VR application, between 5 to 10 minutes of Playtime, designed to investigate the effects of different avatars on the learner. In this application, an avatar introduces itself and provides a short instructional session, enabling the study of various impact factors. To make this instructional session as hands-on as possible, we partnered with the company se.services. The local electronics service provider, was a helpful partner in providing us with priceless expertise in the field of employee training.

se.services GmbH Logo

In collaboration with their Head Instructor Markus Zippel, who has trained countless of electricians during his career, we were able to create a scenario, deliviring a basis on which we could later evaluate the users experiences.

Avatar Design

In our study, we aimed to examine potential variations in the player’s connection to the instructor based on its visual representation. One group of participants interacted with a human-looking 3D model, while the other received instructions from a more abstract representation, a robot.

Collaboration Framework

For this project, we implemented a variation of a collaboration framework, such as Scrum and Agile development. By conducting meetings every 3 to 4 days, we ensured that everyone was keeping up with the workflow and the status of the project.

Technical Implementation

To ensure that the NPCs only differ in their visual representation, we utilized identical audio speech clips and movement animations for both characters. For this purpose, we recorded a professional training supervisor in our on-campus motion capture lab. The camera-based system records the subject from eight angles and calculates a corresponding skeleton in real time. Compared to high-end systems used in professional movie productions, this setup is much easier to setup and use. However, it is also more susceptible to inaccuracies, requiring additional post-processing to clean up the recordings. The application was developed using the OpenXR Library in the Unity game engine. Thanks to the library’s unified interface, it is possible to play the scene with all common VR headsets without the need for different distributions of the application. In our case, we had access to a set of modern Oculus Quest headsets, which are relatively consumer-friendly as they do not require external sensors to be set up in the room.

Scientific Foundations

The questionnaire weve put together, in order to be used during the testing process, is built upon solid scientific principles to explore the nuanced dynamics of user-avatar interactions. Rooted in established psychological theories, we focus on key elements like social presence, trust, affect, and the immersive experience.

Portrait of Robert Dolibog — Robert Dolibog

Portrait of Vladyslav Kyselov — Vladyslav Kyselov

Portrait of Imanuel Leiserowitz — Imanuel Leiserowitz

Portrait of Nathalie Claire Huppert — Nathalie Claire Huppert

Portrait of Karolina Serova — Karolina Serova

Portrait of Danylo Vovochok — Danylo Vovochok

B6 Bachelor AvataVR