Publications

Below you can find my scientific publications, sorted by topic.

Cognitive biases

Cognitive biases can occur in all kinds of tasks. Everyone is susceptible to them, regardless of intelligence. What is the mechanism behind thinking errors? How can you recognize them? And what specific manifestations can you expect during accident analysis and during data verification? You’ll read about it in the papers below.

Incidental learning

Incidental learning is an unconscious form of learning that occurs in everyone on a daily basis. This is generally very useful, but in specific situations it can increase the likelihood of error. This is influenced by the way a task is set up. In the papers below you will read what the human factor “incidental learning” means and in what situations it can lead to errors. The papers below examined this for the problem of trains running red lights. Chapter 4 of my dissertation discusses concrete application for other industries.

  • What Employees Do Today Because of Their Experience Yesterday: How Incidental Learning Influences Train Driver Behavior and Safety Margins (A Big Data Analysis) Research on the influence of the design of the task on the probability of human error via the mechanism of incidental learning.
    https://doi.org/10.3390/safety7010002
  • What Employees Do Today Because of Their Experience Yesterday: Previous exposure to yellow:number aspects as a cause for SPAD incidents Research on the influence of the design of the task on the probability of a human error via the mechanism of incidental learning. Follow-up research with incident data on the research above where I used behavioral data.
    https://doi.org/10.1016/j.jrtpm.2022.100332
  • Dissertation chapter 4 and particularly section 4.2, deals with the concrete application of the insights around incidental learning for other industries. See the dissertation title and links below.

Using Big data for Human Factors research

Related pages

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