Juliane Henning
Research Scientist
Julie completed her Bachelor's degree in Media, Communications and Culture at Newcastle University. She completed her Master's degree in Media, Communications and Creative Industries at Sciences Po Paris. After working in journalism, project management and marketing, she joined the IRL team in 2024 as a project manager for the funded research project ARiadne. As part of her work in the project Julie conducted research in the realm of Augmented Reality (AR) Navigation for Pedestrians, examining factors such as user experience, safety, spatial audio and the visual representation of so called Points of Interest (POIs) within the urban space. In relation to her work around POIs, Julie has extended her research to AR Marketing.
Julie's interest in psychology and her contributions to papers on conversational avatars has led her to focus on VR and AR applications for wellbeing, as well as developing Virtual Patients for psychotherapists in training.
Research interests:
- VR/AR applications in healthcare and psychotherapy
- Virtual Patients for psychotherapy training
- Augmented Reality Marketing
Contact: +49 (0)2381 8789-992 · juliane.henning@hshl.de
Hearing the Way: Influence of Varying Spatialized Audio Cues and Device Type on AR Navigation Experience
From Wayfinding to Promotion: The Effect of Augmented Reality Points of Interest as a Marketing Medium
Experiencing the Path: Comparing Visual Cues for User Experience and Performance in Outdoor Augmented Reality Navigation
Finding My Way: Influence of Different Audio Augmented Reality Navigation Cues on User Experience and Subjective Usefulness
Size Matters: The Impact of Avatar Size on User Experience in Healthcare Applications
Virtual Reality verstehen: Technik, Nutzung und Verbreitung bei Kindern und Jugendlichen
Redeveloping ARCADE: User Experience with Personalized Conversational MetaHuman Avatars at Human Scale in Immersive Environments
From Interaction to Purchase: A Review on How Augmented Reality Impacts User Experience in Marketing
Optimized User Experience for Labeling Systems for Predictive Maintenance Applications