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Six considerations for designing and evaluating collaboration in immersive environments

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2025

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Deutsche Forschungsgemeinschaft (DFG): 251654672
Deutsche Forschungsgemeinschaft (DFG): EXC 2117 - 422037984

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Preprint
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Zusammenfassung

Persons use and respond to various cues and behaviors as part of their daily communication and information exchange with others. When these are obscured or obstructed by the technology, users tend to experience rifts in collaboration. For this reason, we discuss different group factors and their role in collaboration in immersive environments. By including perspectives from visual and immersive analytics, embodied interaction, social psychology, and collective behavior, we identify common motives in literature that deserve the designer’s attention. We list six considerations for designing and evaluating collaboration in immersive environments. The collection of these considerations could serve to inform future research on the topic.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Collaboration, Immersive environments

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ISO 690GARKOV, Dimitar, Bruce H. THOMAS, Giuseppe LIOTTA, Alex JORDAN, Karsten KLEIN, Falk SCHREIBER, 2025. Six considerations for designing and evaluating collaboration in immersive environments
BibTex
@unpublished{Garkov2025-11-03consi-75025,
  title={Six considerations for designing and evaluating collaboration in immersive environments},
  year={2025},
  author={Garkov, Dimitar and Thomas, Bruce H. and Liotta, Giuseppe and Jordan, Alex and Klein, Karsten and Schreiber, Falk},
  note={We thank the reviewers for their helpful comments. This work was supported in part by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), under Germany’s Excellence Strategy - EXC 2117 - 422037984, and DFG project ID 251654672 - TRR 161, by Italian MUR PON Proj. ARS01 00540 and by Italian MUR PRIN Project no. 2022TS4Y3, and by the Max Planck Institute of Animal Behavior.}
}
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We thank the reviewers for their helpful comments. This work was supported in part by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), under Germany’s Excellence Strategy - EXC 2117 - 422037984, and DFG project ID 251654672 - TRR 161, by Italian MUR PON Proj. ARS01 00540 and by Italian MUR PRIN Project no. 2022TS4Y3, and by the Max Planck Institute of Animal Behavior.
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