| Autor: |
van Paassen, Marinus M., Landman, Annemarie, Borst, Clark, Mulder, Max |
| Předmět: |
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| Zdroj: |
Journal of Cognitive Engineering & Decision Making; Dec2024, Vol. 18 Issue 4, p318-326, 9p |
| Abstrakt: |
Automation errors may result in human performance issues that are often difficult to grasp. Skraaning and Jamieson (2023) proposed a taxonomy for classifying automation errors into categories based on the visible symptoms of design problems, so as to benefit the design of training scenarios. In this paper, we propose a complementary classification that is based on the mechanisms of human-automation interaction guided by Rasmussen's Skill, Rule and Knowledge (SRK) taxonomy. We identified four main failure classes and expect that this classification can support automation designers. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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