[Ieee_vis] [CFP] Deadline Extended: MASSXR, 3rd Annual Workshop on Multi-modal Affective and Social Behavior Analysis and Synthesis in Extended Reality @IEEE VR 2025

Funda Durupinar Babur Funda.DurupinarBabur at umb.edu
Thu Dec 19 02:22:53 CET 2024


[Please accept our sincere apologies if you receive multiple copies of this call]


3rd Annual Workshop on Multi-modal Affective and Social Behavior Analysis and Synthesis in Extended Reality (MASSXR)

@32nd IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR 2025)

March 8, 2025

SAINT-MALO, FRANCE

https://sites.google.com/view/massxrworkshop2025

Dear All,

We cordially invite you to submit your innovative research to the MASSXR 2025<https://sites.google.com/view/massxrworkshop2025> Workshop, part of the prestigious IEEE VR 2025<https://ieeevr.org/2025/> conference.

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Introduction

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The 3rd MASSXR Workshop will explore the intersection of XR technologies and socio-technical security, focusing on the challenges and advancements in building secure, privacy-conscious, and trustworthy XR systems. As XR continues to evolve, we aim to address key research questions and emerging topics, such as:

1.       How can we generate and analyze affective and social behaviors in XR? What are the latest techniques in this area?

1.       What are the latest advancements in safeguarding XR systems against privacy breaches and security vulnerabilities? How can we improve detection and mitigation strategies for reliable user protection?

2.       What are the current best practices for responsibly collecting, managing, and securing user interaction data within XR environments? How can data security be balanced with personalized experiences, and what privacy-aware innovations (e.g., for privacy-sensitive data recording, compression, or other management techniques) are emerging to support this?

3.       How can we enhance trust in XR applications through transparent data practices and robust identity management? What roles do authentication protocols, encryption, and user control mechanisms play in establishing trustworthy systems?

4.       What approaches (e.g., tools, techniques, methodologies) are emerging for providing secure, privacy-preserving, and resilient interactions in XR environments? How can AI-based solutions support dynamic risk assessment and personalized security controls?

5.       How XR systems could be used to increase the security of other systems? What are the latest methods for using XR technologies in threat detection, authentication, and real-time security monitoring?

The workshop's objective is to foster collaborative efforts and advance the state of secure social interactions within XR, setting a foundation for future innovations in the field. To that end, we aim to bring together researchers and practitioners from fields including cybersecurity, human-computer interaction, computer graphics/animation, multi-modal machine learning, AI, data privacy, and socio-technical studies to discuss the state of security in XR, future directions, and opportunities to improve system robustness and user trust. We wish to particularly emphasize the integration of AI with XR for adaptive, context-aware security measures that are both technically robust and aligned with user trust and understanding. We thus encourage submissions that offer innovative approaches, experimental results, and theoretical insights into the security, privacy, and trustworthiness of XR systems.



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Topics

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The workshop invites researchers to submit original, high-quality research, survey, or position papers related to multi-modal affective and social behavior analysis and synthesis in XR. Relevant topics include, but are not limited to:

● Security and trustworthy interaction design

● Cybersecurity threats in XR

● Privacy in XR environments

● Secure cross-platform and cross-device communication

● AI and machine learning for security in XR

● Trustworthy social interactions and user collaboration in XR

● Ethics and compliance for data collection in XR

● Applications of XR for security and privacy



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Important Dates

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● Submission deadline: December 23, 2024  January 4, 2025 (Anywhere on Earth)

● Notification: January 9, 2025

● Camera-ready deadline: January 14, 2025 (Anywhere on Earth)

● Conference date: March 8-12, 2025

● Workshop date: March 8, 2025



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Submission Guidelines

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Authors are invited to submit research, survey, work-in-progress, or position papers:

● Research or survey papers: 4-6 pages + references (upto 2 pages)

● Work-in-progress papers: 2-3 pages + references (1 page)

●  Position papers: 1-2 pages + references (1 page)

Papers will be included in the IEEE Xplore library. Authors are encouraged to submit videos to aid the program committee in reviewing their submissions. Please anonymize your submissions, as the workshop uses a double-blind review process.

Authors of accepted papers are expected to register and present their papers at the workshop. Papers should use the IEEE VR formatting guidelines<https://tc.computer.org/vgtc/publications/conference/> and be submitted through the IEEE VR 2025 Precision Conference System (PCS)<https://new.precisionconference.com/vr>. When starting your submission, please make sure to select the relevant track for the workshop "IEEE VR 2025 Workshop: MASSXR".



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Organizers

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Megha Quamara<https://www.kcl.ac.uk/people/megha-quamara> (King’s College London, UK)

Aniket Bera<https://www.cs.purdue.edu/homes/ab/> (Purdue University, USA)

Oya Celiktutan<https://nms.kcl.ac.uk/oya.celiktutan/> (King’s College London, UK)

Pablo Cesar<https://www.pablocesar.me/> (CWI and TU Delft, The Netherlands)

Funda Durupinar<https://sites.google.com/site/fdurupinar/home> (University of Massachusetts Boston, USA)

Aline Normoyle<https://alinen.net/> (Bryn Mawr College, USA)

Chirag Raman<https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/intelligent-systems/pattern-recognition-bioinformatics/socially-perceptive-computing-lab/people/chirag-raman> (TU Delft, The Netherlands)

Luca Viganò<https://www.kcl.ac.uk/people/luca-vigano> (King’s College London, UK)

Zerrin Yumak<https://www.uu.nl/staff/ZYumak> (Utrecht University, The Netherlands)

We look forward to your participation in MASSXR 2025!


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