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AI4XR 2020 : International Workshop on Artificial Intelligence for Extended Reality

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Link: https://ai4xr.blogs.dsv.su.se
 
When Jul 1, 2020 - Jul 1, 2020
Where Corfu, Greece
Submission Deadline Mar 20, 2020
Notification Due Apr 22, 2020
Final Version Due Apr 30, 2020
Categories    artificial intelligence   virtual reality   extended reality   machine learning
 

Call For Papers

Scope
Research in immersive technologies, such as Virtual Reality (VR), Augmented Reality (AR), or in more general terms, Extended Reality (XR), is related to how computing systems allow humans to interact with computer-generated environments in the most natural and realistic way. The sense of presence offered by these systems has encouraged the development of applications in areas such as physical rehabilitation, psychological therapies, education, skill training, arts, or entertainment. On the other hand, research in Machine Learning (ML) and Artificial Intelligence (AI) focuses on the design of models for knowledge discovery from data, which might be very valuable when applied on real-life applications where immersive technologies are being used. The objective of the workshop on Artificial Intelligence for Extended Reality is to serve as a stage for new research perspectives that blend immersive technologies and state-of-the-art ML from both academic and industrial parties; and to highlight and demonstrate the potential that this combination can bring for, e.g., user-behavior modelling, visualization mechanisms, novel human-computer-interaction (HCI) paradigms, multimodal interfaces, and user experience in 3D spaces. Ultimately, we expect the workshop to shed light on new research pathways on how ML can be used to let computers enhance the overall experience in immersive technologies.
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List of Topics
Topics of interest include, but are not limited to:

Machine learning for VR/AR
VR/AR for machine learning
Serious games and simulation
Physiological signal processing for VR
VR applications, including healthcare, learning, training, and arts
HCI using augmented, virtual and mixed reality
Multimodal interaction in immersive experiences
Wearables as input interfaces for VR
Natural language processing and speech interaction with virtual characters
UX in immersive environments
Understanding and modelling of user behavior in virtual environments
Physical or psychological rehabilitation with immersive systems
Data visualization in VR
Data generation, manipulation and analysis in VR systems
VR platforms and prototypes
Ethical aspects of AI and immersive technologies
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Important dates

Submission deadline: March 20, 2020
Notification date: April 22, 2020
Camera-ready: April 30, 2020
Workshop date: June 30, 2020
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Submissions and Proceedings

All submissions should follow the same formatting guidelines as employed for the main conference paper submissions. We accept short paper submissions (up to 4 pages) and regular paper submissions (5-10 pages). To prepare your submission, follow the instructions described in the official conference website.

The conference proceedings, including the workshop papers, will be a volume in the ACM International Conference Proceedings Series in the ACM Digital Library. The ISBN number assigned to PETRA ’20 is 978-1-4503-7773-7.
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Workshop Committee
The workshop is organized by the Data Science Group at the Department of Computer and Systems Sciences (DSV), Stockholm University.

Program Committee:
John E. Muñoz, University of Waterloo, Canada
Jordi Solsona, Stockholm University, Sweden
Sergi Bermúdez i Badia, Interactive Technologies Institute, Portugal
Mónica Cameirão, Interactive Technologies Institute, Portugal
Gerald Bieber, Fraunhofer Institute for Computer Graphics, Germany

Organizers:
Luis Quintero, MSc, PhD Student, Stockholm University, Email: luis-eduardo@dsv.su.se
Jaakko Hollmen, DSc (Tech.), Senior Lecturer, Stockholm University, Email: jaakko.hollmen@dsv.su.se
Panagiotis Papapetrou, PhD, Professor, Stockholm University, Email: panagiotis@dsv.su.se
Uno Fors, DDS, PhD, Professor and Department Head, Stockholm University, Email: uno@dsv.su.se
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