An Empirical Study on Automation Transparency (i.e., seeing-into) of an Automated Decision Aid System for Condition-Based Maintenance


Journal article


Fahimeh Rajabiyazdi, G. Jamieson, David Quispe Guanolusia
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), 2021

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APA   Click to copy
Rajabiyazdi, F., Jamieson, G., & Guanolusia, D. Q. (2021). An Empirical Study on Automation Transparency (i.e., seeing-into) of an Automated Decision Aid System for Condition-Based Maintenance. Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021).


Chicago/Turabian   Click to copy
Rajabiyazdi, Fahimeh, G. Jamieson, and David Quispe Guanolusia. “An Empirical Study on Automation Transparency (I.e., Seeing-into) of an Automated Decision Aid System for Condition-Based Maintenance.” Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) (2021).


MLA   Click to copy
Rajabiyazdi, Fahimeh, et al. “An Empirical Study on Automation Transparency (I.e., Seeing-into) of an Automated Decision Aid System for Condition-Based Maintenance.” Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), 2021.


BibTeX   Click to copy

@article{fahimeh2021a,
  title = {An Empirical Study on Automation Transparency (i.e., seeing-into) of an Automated Decision Aid System for Condition-Based Maintenance},
  year = {2021},
  journal = {Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021)},
  author = {Rajabiyazdi, Fahimeh and Jamieson, G. and Guanolusia, David Quispe}
}