Enhancing Asynchronous Learning in Immersive Environments | IEEE VR 2025
Mayer, Anjela
1; Miguel-Alonso, Ines; Chardonnet, Jean-Rémy; Bustillo, Andres; Ovtcharova, Jivka 1
1 Institut für Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)
1; Miguel-Alonso, Ines; Chardonnet, Jean-Rémy; Bustillo, Andres; Ovtcharova, Jivka 11 Institut für Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)
Abstract:
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.
"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.
| Zugehörige Institution(en) am KIT | Institut für Informationsmanagement im Ingenieurwesen (IMI) |
| Publikationstyp | Audio & Video |
| Publikationsdatum | 15.07.2025 |
| Erstellungsdatum | 30.04.2025 |
| Sprache | Englisch |
| DOI | 10.5445/IR/1000183194 |
| Identifikator | KITopen-ID: 1000183194 |
| Lizenz | KITopen-Lizenz |
| Externe Relationen | Abstract/Volltext |
| Schlagwörter | IEEE VR, Mixed Reality, Asynchronous Collaboration, WSK, wbk, IMI |
| Nachgewiesen in | OpenAlex |