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Date:
Thu, 26 May 2022 11:19:01 +0800
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Submission Deadline: 2022.06.01

Website:
https://www.frontiersin.org/research-topics/32461/social-recommendations-and-applications-for-metaverse



Metaverse is regarded as one of the future Internet for business,
socialization, entertainment, education in fully connected, immersive, and
engaging online 3D virtual experiences. It serves as a new environment by
blending physical and digital worlds for allowing users and avatars (i.e.,
digital twins) to interact with each other, providing infinite
possibilities for innovative applications and poses new research challenges
on data mining, database, computer graphics, and machine learning, because
detailed user behaviors (e.g., social, commercial, mobility, computer
vision, and computer graphics) in the digital universe can be fully
regarded to facilitate advanced recommendations, prediction, queries, and
social networks analysis according to multifacet data, whereas virtual
world and physical world also influence each other with VR/AI/MR, 5G,
blockchain, and edge computing.

The objective of this special issue is to bring together a global community
of professionals, researchers, and technologists from both academia and
industry to explore and share the state of-the-art development and
applications and address the research challenges of the Metaverse with new
theories, ideas, designs, frameworks, mechanisms, and technologies.


The topics of interest include, but are not limited to:

- Economics, monetization, security, and online markets analysis for
Nonfungible token (NFT) in Metaverse.
- Automated knowledge extraction, organization, and storage from
omnidirectional video and multi-domain VR/AR/MR/XR data sources.
- Scalable AI for big data analytics in Metaverse, such as sparse learning
and binary embedding.
- Multimodality in interactive and adaptive learning environments under
multi-view display in VR/AR/MR.
- Multimedia analysis and knowledge infusion for scene understanding and
view synthesis, e.g., item affordance analysis, support plane detection,
and occlusion mask prediction, object rendering.
- 3D product recommendation in Metaverse with VR/AR/MR/XR according to
computer graphics, e.g., occlusion constraints and instance affordance.
- Virtual routing and spatial queries in Metaverese, e.g., to prevent 3D
motion sickness by leveraging advanced computer graphics techniques
(e.g., redirected walking, virtual-physical worlds alignment).
- Trajectory recommendation and geospatial prediction in Metaverse, e.g.,
to ensure user immersiveness by displaying scenes to prevent
fear-ofmissing-out (FOMO) / optimize of joy-of-missing-out (JOMO).
- Security and privacy in the Metaverse, e.g., protection against
Deepfakelike attacks and information access/retrieval for private data
(eyes/motion trajectory, avatar, personal space, and
interaction/transaction history), and privacy-preserving cybertwin
architectures.
- Social recommendations in Metaverse, by event-triggered collective
detection and prediction according to user locomotions and holistic
fullbody dynamics, such as users’ eye-gaze track, gesture, reaction, facial
expression, and embody feedback with computational behavior modeling.
- Social reputation and trust visualization through VR attention guide
(e.g., brightness, marker), and misinformation and misbehavior analysis and
detection for fake or disguised avatars in Metaverse.
- Psychologic intervention, mental healthcare, and cybersickness treatment
in Metaverse, e.g., with social and gesture data analytics to identify
malicious behaviors and cyberbullying.
- Collaborative Edge Computing (CEC) with Social Internet-of-Things for
teleoperation and telepresence in AR/MR.

Kind regards,
Topic Editors of Social Recommendations and Applications for Metaverse.

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