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Research group Distributed Immersive Participation

Technological advances allow both humans and things to be more connected and exchange information. Our research focuses on how we can participate in real and virtual societies, with regards to application areas such as culture, transport, intelligent vehicles and e-health.

Photo: Lightfield/Mostphotos.

The Distributed Immersive Participation research group is bringing together people, processes, data and things (real and virtual) to make distributed networked connections more relevant and valuable. We want to put it into action in order to create new capabilities, richer experiences and unprecedented economic opportunities for businesses and individuals.

Our research focuses on enabling new ways of participation in real and virtual societies and allows application areas such as culture, transport, intelligent vehicles and e-health. The massive scale of access to rapid changing global information requires new mechanisms for self-organization – in order to maximize its utility (cooperation) in a local context without flooding the Internet.

Key topics such as presence and awareness mandate research in new mechanisms and protocols for efficient and scalable acquisition, dissemination, and discovery of such information along with modelling. Further, the research will break new ground with respect to studying new user experiences entailing novel presentation and interaction technologies for distributed immersive, mixed-reality experiences, with integration of different modalities.

Distributed Immersive Participation is a strategic thematic research agenda focused on distributed cognitive intelligence in mixed-reality applications. The applications are enabled by ubiquitous connectivity, networked media and distributed sensing and visualization for distributed Metaverse.

Focus areas:
– Distributed data processing in distributed IoT
– Cognitive Edge Continuum and Tactile Internet
– Decentralization and spatial computing for Real Metaverse
– Pervasive computing and adversarial machine learning
– Large-scale decentralized systems (Blockchain)
– Inclusive design

The research is carried out in collaboration with partners in industry, authorities, policy makers and society nationally and internationally.

The group is collaborating with, among others, associate professor Susanne Tienken, Department of Slavic and Baltic Studies, Finnish, Dutch and German at Stockholm University, associate professor Mario Romero Vega and associate professor Thashmee Karunaratne at KTH, Anders Lindgren, senior researcher at Rise, Hasibur Rahman, Bin Xiao at Ericsson Research, and Kim Nevelsteen at MiTM AB.