Mixed Reality Environment for Immersive Experience of Art and Culture

Digital, Industry & SpaceHORIZON-RIAID: 101136006
EC Contribution
€72,560
Consortium Size
14 orgs
Start Year
2024
Summary

Engagement with the art and music can have a range of positive effects on physical and mental health. However, access to the many benefits of musical experience can be limited due to various reasons: (1) the geographic location of the venue, (2) personal limitations in access, (3) limitation on the schedule of the concerts and performances, (4) cost of the experience. Due to these limitations the effort and cost of getting access to the concerts and performances override additional value the participant would get from the experiences. In XTREME project, we remove these limitations by developing a human-centered mixed reality (MR) solution that, instead of requiring the participant to be physically present in the venue, brings the concerts and performances to a remote location via MR technology while retaining the immersive experience, and even giving additional dimensions to it by integrating real and virtual contents. Our solution also allows for virtually shared, realistic experience together with selected social circles of the user. The solution removes geographic limitations as by the MR solution the concerts and performances can be accessed virtually from anywhere and they hence are more inclusive for people with limited access. Likewise, providing a global access to the art and music provides a wider audience for musicians and artists, not limiting the number of seats by the size of the physical venue. As this solution removes the necessity to travel to concerts and performances, it also provides a greener alternative. In contrast to the current state-of-the-art, our solution targets at making an MR solution to the concerts and performances where those are in in 3D, both for visuals and sound, blended into the room of the users. We will also provide maximised experience of presence via reconstruction of the users and their behaviour in the shared access, and enhance the immersion by providing an additional visual layer to the sound.

Consortium (14)

Project Results (23)

Source: CORDIS, the EU research results database.

Publications (14)
"""AI enhances our performance, I have no doubt this one will do the same"": The Placebo effect is robust to negative descriptions of AI"
Proceedings of the CHI Conference on Human Factors in Computing Systems· 2025DOI
Agnes Mercedes Kloft, Robin Welsch, Thomas Kosch, Steeven Villa
Attribute-Centric Compositional Text-to-Image Generation
International Journal of Computer Vision· 2025DOI
Yuren Cong, Martin Renqiang Min, Li Erran Li, Bodo Rosenhahn, Michael Ying Yang
Don't They Really Hear Us? A Design Space for Private Conversations in Social Virtual Reality
IEEE Transactions on Visualization and Computer Graphics· 2025DOI
Josephus Jasper Limbago, Robin Welsch, Florian Müller, Mario Di Francesco
In the middle of the music: A qualitative study of headset and loudspeaker distributed interactive spatial audio within a musical mixed-reality environment
Audio Mostly 2025· 2025
Laurence Cliffe, M. Khan, Steve Benford.
Into the Here and Now: Explorations within a New Acoustic Virtual Reality
Leonardo· 2025DOI
Laurence Cliffe
Learning Of Room Audio Response Employing Sound Directional Information
· 2025
GiovanniI Zanin
Multi‑Flow: Multi‑View‑Enriched Normalizing Flows for Industrial Anomaly Detection
· 2025DOI
Mathis Kruse, Bodo Rosenhahn
Multimodal Rationales for Explainable Visual Question Answerin
· 2025
Kun Li, George Vosselman, Michael Ying Yang
Navigating the Virtual Gaze: Social Anxiety's Role in VR Proxemics
Proceedings of the CHI Conference on Human Factors in Computing Systems· 2025DOI
Beatriz Mello, Robin Welsch, Marissa Christien Verbokkem, Pascal Knierim, Martin Johannes Dechant
QPM: DISCRETE OPTIMIZATION FOR GLOBALLY INTERPRETABLE IMAGE CLASSIFICATION
Proceedings of the International Conference on Learning Representations (ICLR 2025)· 2025
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn
Scale-wise Bidirectional Alignment Network for referring remote sensing image segmentation
ISPRS Journal of Photogrammetry and Remote Sensing· 2025DOI
Kun Li, George Vosselman, Michael Ying Yang
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
· 2025
Timo Kaiser; Thomas Norrenbrock; Bodo Rosenhahn
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)· 2025DOI
Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt
Interfacing with history: curating with audio augmented objects
Museum Management and Curatorship· 2024DOI
Laurence Cliffe
Deliverables (9)
Documents, reports
Other
Documents, reports
Demonstrators, pilots, prototypes
Data Management Plan
Data Management Plan
Documents, reports