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Towards an Emotionally Augmented Metaverse: A Framework for Recording and Analysing Physiological Data and User Behaviour

  • Leonardo Angelini
  • , Massimo Mecella
  • , Hai Ning Liang
  • , Maurizio Caon
  • , Elena Mugellini
  • , Omar Abou Khaled
  • , Danilo Bernardini
    • University of Applied Sciences Western Switzerland
    • University of Rome La Sapienza

    Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

    14 Citations (Scopus)

    Abstract

    Several big tech companies are currently eager of building the metaverse, mainly through virtual reality experiences. Albeit immersive, in shared virtual environments it might be difficult to have emotionally rich interactions. Indeed, current available headsets and VR applications have limited possibilities for tracking and sharing emotions. We believe that physiological signal technology could enhance future metaverse applications. In this context, this paper presents a framework for visualizing, recording and synchronizing experiences in VR with human body signals. In order to prove the effectiveness of the system, we illustrate a use case and the development of a proof-of-concept scenario. Finally, we present the results of the tests conducted on this proof-of-concept that demonstrate the validity of the proposed system. Such framework could be used to design new emotionally augmented experiences in VR.

    Original languageEnglish
    Title of host publicationProceedings of the 13th Augmented Human International Conference 2022, AH 2022
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450396592
    DOIs
    Publication statusPublished - 26 May 2022
    Event13th Augmented Human International Conference, AH 2022 - Virrual, Online, Canada
    Duration: 26 May 202227 May 2022

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference13th Augmented Human International Conference, AH 2022
    Country/TerritoryCanada
    CityVirrual, Online
    Period26/05/2227/05/22

    Keywords

    • Virtual reality
    • metaverse
    • physiological signals

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