DigiTOP Publications

Journal Articles

  • Buerkle, A., Matharu, H., Al-Yacoub, A., Lohse, N., Bamber, T. and Ferreira, P., 2021. An Adaptive Human Sensor Framework for Human-Robot Collaboration. Advanced Manufacturing Technology Journal                              DOI: 10.21203/rs.3.rs-823169/v1 
  • Al-Yacoub, A., Buerkle, A., Flanagan, M., Ferreira, P., Hubbard, E.M. and Lohse, N , 2020, Data-Driven Modelling of Human-Human Co-Manipulation using Force and Muscle Surface Electromyogram Activities. https://doi.org/10.3390/electronics10131509
  • Dedy Ariansyah, John Ahmet Erkoyuncu, Iveta Eimontaite, Teegan Johnson, Anne-Marie Oostveen, Sarah Fletcher, Sarah Sharples (2021) A head mounted augmented reality design practice for maintenance assembly: Toward meeting perceptual and cognitive needs of AR users https://doi.org/10.1016/j.apergo.2021.103597
  • Rok Vrabič, John Ahmet Erkoyuncu, Maryam Farsi, Dedy Ariansyah, (2021) An intelligent agent-based approach for resilient digital twins in manufacturing, CIRP Annals https://doi.org/10.1016/j.cirp.2021.04.049
  • Argyle, E.M., Marinescu, A., Wilson, M.L., Lawson, G. and Sharples, S. (2021) Physiological Indicators of Task Demand, Fatigue, and Cognition in Future Digital Manufacturing Environments. International Journal of Human-Computer Studies 145:102522 https://doi.org/10.1016/j.ijhcs.2020.102522
  • Al-Yacoub, A., Zhao, Y. C., Eaton, W., Goh, Y. M., & Lohse, N. Improving human robot collaboration through Force/Torque based learning for object manipulation. Robotics and Computer-Integrated Manufacturing69, 102111. https://doi.org/10.1016/j.rcim.2020.102111
  • Elizabeth. M.Argyle, Adrian Marinescu, Max. L. Wilson, Glyn Lawson & Sarah Sharples (2020). Physiological Indicators of Task Demand, Fatigue, and Cognition in Future Digital Manufacturing Environments. https://doi.org/10.1016/j.ijhcs.2020.102522
  • Erkoyunco, J.A., del Amo ,I.F., Ariansyah, D., Bulka, D., Bulka, D., & Roy, R (2020). A design framework for adaptive digital twins. CIRP Annals. https://doi.org/10.1016/j.cirp.2020.04.086
  • del Amo, I.F., Erkoyunco, J., Frayssinet, R., Reynel, C.V., & Roy, R. (2020). Structured authoring for AR-based communication to enhance efficiwncy in remote diagnosis for complex equipment. Advanced Engineering Informatics, 45, 101096 https://doi.org/10.1016/j.aei.2020.101096
  • Lachalan Urguhart, Dominic Reedman-flint, Natalie Leesakul: Responsible Domestic Robotics: exploring ethical implications of robots in the home; Journal of Information, Communication and Ethics in Society May 2019 ISSN: 1477-996X


Peer-Reviewed Conference Papers

  • Iveta Eimontaite, Cyril Jaksic, Sarah Fletcher, Teegan Johnson, Anne-Marie Oostveen (2020) Will operators work in close proximity to industrial robots? A study of acceptance using psychological and physiological responses. 9th International Conference on Through-life Engineering Service. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3718020 
  • Farsi, Maryam, Dedy Ariansyah, John Ahmet Erkoyuncu, and Andrew Harrison. “A digital twin architecture for effective product lifecycle cost estimation.” Venue: 31st CIRP Design Conference 2021  Available at SSRN 3717726  Procedia CIRP 100 (2021): 506-511. https://doi.org/10.1016/j.procir.2021.05.111
  • Ariasyah, Dedy and Buerkle, Achim and Al-Yacoub, Ali and Zimmer, Melanie and Erkoyuncu, John Ahmet and Lohse, Niels, Towards a Digital Human Representation in an Industrial Digital Twin (October 23, 2020). TESConf 2020 – 9th International Conference on Through-life Engineering Services,  http://dx.doi.org/10.2139/ssrn.3717733
  • Ariasyah, Dedy and Fernàndez del Amo, Iñigo and Erkoyuncu, John Ahmet and Agha, Merwan and Bulka, Dominik and De La Puante, Jose and Langlois, Marion and M’khininiYousra and Sibson, Jim and Penver, Steve, Digital Twin Development: A Step by Step Guideline (October 23, 2020). TESConf 2020 – 9th International Conference on Through-life Engineering Services http://dx.doi.org/10.2139/ssrn.3717726
  • Benerradi, J., Maior, H. A., Marinescu, A., Clos, J., & Wilson, M. L. (2019, November). Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks. In Proceedings of the Halfway to the Future Symposium 2019 (pp. 1-11). 
  • J. Crawford, E. Hubbard, M. Goh, 2019, Mental Health, Trust and Robots: towards understanding how mental health mediates human-automated system trust and reliance, published in Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2019 International Conference on Neuroergonomics and Cognitive Engineering and the AHFE International Conference on Industrial Cognitive Ergonomics and Engineering Psychology, pp 119- 128. 
  • Alsuraykh, N.H., Wilson, M.L., Tennent, P. and Sharples, S. (2019). How Stress and Mental Workload are Connected. In Proc. of PervasiveHealth 2019. May 20-23, Trento, Italy. 

Conference Abstracts, Posters, and Presentations