Data and Code for the paper "Ergonomics and human factors: still fading—and why we need to embrace the AI revolution"

DOI:10.4121/240b19a6-c816-414c-85e1-ca030414002e.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/240b19a6-c816-414c-85e1-ca030414002e

Datacite citation style

de Winter, Joost; Eisma, Yke Bauke (2025): Data and Code for the paper "Ergonomics and human factors: still fading—and why we need to embrace the AI revolution". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/240b19a6-c816-414c-85e1-ca030414002e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This research used Google's Gemini AI model (gemini-2.5-flash-preview-05-20) to evaluate the ergonomics of nine historical aircraft altimeter dial drawings. The AI rated each dial on eight ergonomic statements. These ratings were then compared to human performance data (interpretation time, error rates) from Grether (1949).

History

  • 2025-05-27 first online, published, posted

Publisher

4TU.ResearchData

Format

*.mat, *.m, *.png, *.asv,

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Cognitive Robotics

DATA

Files (1)