Understand the human brain, predict human performance, and proactively plan, strategize and act based on such information initiated a scientific multidisciplinary alliance to address modern management challenges. This paper integrates numerous advanced information technologies such as eye tracking, virtual reality and neural networks for cognitive task analysis leading to behavioral analysis on humans that perform specific activities. The technology developed and presented in this paper has been tested on a maritime safety training application for command bridge communication and procedures for collision avoidance. The technology integrates metaverse and virtual reality environments with eye tracking for the collection of behavioral data which are analyzed by a neural network to indicate the mental and physical state, attention and readiness of a seafarer to perform such a critical task. The paper demonstrates the technology architecture, data collection process, indicative results, and areas for further research.


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    Titel :

    Neural Network Driven Eye Tracking Metrics and Data Visualization in Metaverse and Virtual Reality Maritime Safety Training


    Beteiligte:
    Markopoulos, Evangelos (Autor:in) / Luimula, M (Autor:in) / Calbureanu-Popescu, C (Autor:in) / Markopoulos, P (Autor:in) / Ranttila, P (Autor:in) / Laukkanen, S (Autor:in) / Laivuori, N (Autor:in) / Ravyse, W (Autor:in) / Saarinen, J (Autor:in) / Nghia, T (Autor:in)

    Erscheinungsdatum :

    01.01.2021


    Anmerkungen:

    In: Proceedings of the 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). (pp. pp. 537-544). Institute of Electrical and Electronics Engineers (IEEE) (2021)


    Medientyp :

    Paper


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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