KIT-Bibliothek
FAQ Audio-/Videodatei publizieren

Enhancing Asynchronous Learning in Immersive Environments | IEEE VR 2025

Autor

Anjela Mayer, Ines Miguel-Alonso, Jean-Rémy Chardonnet, Andres Bustillo, Jivka Ovtcharova

Beteiligtes Institut

Institut für Informationsmanagement im Ingenieurwesen (IMI)

Genre

Sonstiges

Beschreibung

This video introduces our research poster presented at IEEE VR 2025:
"Enhancing Asynchronous Learning in Immersive Environments: Exploring Baseline Modalities for AR Avatar-Based Guidance."

The study evaluates three guidance modalities for asynchronous collaboration in spatially complex tasks:
AR video playback using a HoloLens.
AR avatar guidance on a Meta Quest Pro.
Handheld video playback on a smartphone.

Key Insights:
Smartphone video provides a reliable, non-immersive baseline due to usability and familiarity.
AR avatars enhance spatial awareness and task engagement but require interface improvements.
Findings contribute to the development of XR-based tools for industrial training and asynchronous learning.

Schlagwörter

IEEE VR, Mixed Reality, Asynchronous Collaboration, WSK, wbk, IMI

Laufzeit (hh:mm:ss)

00:00:56

Publiziert am

15.07.2025

Fachgebiet

Maschinenbau

Lizenz

KITopen-Lizenz

Auflösung 1920 x 1080 Pixel
Seitenverhältnis 16:9
Audiobitrate 64569 bps
Audio Kanäle 1
Audio Codec aac
Audio Abtastrate 44100 Hz
Gesamtbitrate 3757258 bps
Container mov,mp4,m4a,3gp,3g2,mj2
Dauer 56.200000 s
Dateiname DIVA-2025-232_mp4.mp4
Dateigröße 26.394.741 byte
Bildwiederholfrequenz 25
Videobitrate 3686011 bps
Video Codec h264

Mediathek-URL

Embed-Code