MURAL - Maynooth University Research Archive Library



    VR-participation: The feasibility of the virtual reality-driven multi-modal communication technology facilitating e-Participation


    Porwol, Lukasz and Pereira, Agustín García and Ojo, Adegboyega (2018) VR-participation: The feasibility of the virtual reality-driven multi-modal communication technology facilitating e-Participation. In: ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, 4-6 April 2018, Galway.

    [img]
    Preview
    Download (464kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Successful communication between citizens and decision makers – eParticipation, despite progressing from dedicated solutions to modern, social media-based approaches has been facing many challenges. We argue that Virtual Reality technologies through its sense of presence and embodiment for discussion participants can help in alleviating some of the major obstacles hindering effective communication and collaboration. In this paper, we propose a novel approach to building AI models to support effective dialog implementation in VR. VR platforms potentially afford studies on user behavior without the overhead of complicated sensor infrastructure required for data collection. In particular, we propose machine-learning-based approach for predictive log analytics to identify behavioral patterns that support or obstruct effective collaboration in the context of structured dialog conversation. We discuss the applicability of the models to e-Participation and possible broader application of the models created. We also argue that VR-interaction-data-based models have the potentials to be transferable to managing and improving real-life interactions.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: VR-Participation; Back to Reality; AI & VR driven approach; building models; effective; communication; e-Participation;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 13377
    Depositing User: Adegboyega Ojo
    Date Deposited: 02 Oct 2020 16:05
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year