Study level

  • PhD
  • Master of Philosophy
  • Honours

Faculty/School

Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.

Research centre

Centre for Data Science

Supervisors

Dr Kenan Degirmenci
Position
Lecturer in Information Systems
Division / Faculty
Faculty of Science

Overview

A convergence of virtual reality (VR) and digital twin technologies can provide multifaceted benefits like digital learning processes, generating a collaborative ecosystem between technological and human assets (Martínez-Gutiérrez et al., 2023). When digital twins are adopted, they can provide sustainable energy solutions, such as energy efficiency optimisation or renewable energy integration (Coelho et al., 2024).

In this project we investigate the adoption of digital twins and how this can drive the sustainable energy transition in VR environments from a cognitive computing perspective.

References

Coelho, J., Oliveira, T., Neves, C., & Karatzas, S. (2024). Adoption of digital twins as a sustainable energy solution: Determinants to adoption in household. Heliyon, 10(4), 1-14. https://doi.org/10.1016/j.heliyon.2024.e25782

Martínez-Gutiérrez, A., Díez-González, J., Verde, P., & Perez, H. (2023). Convergence of virtual reality and digital twin technologies to enhance digital operators’ training in industry 4.0. International Journal of Human-Computer Studies, 180, 1-14. https://doi.org/10.1016/j.ijhcs.2023.103136

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