When the Going Gets Tough: Exploring Agent-based Models of Human Performance under Demanding Conditions
Year: 2012
Type: dissertation
Abstract: Rianne van Lambalgen Air traffic control, naval warfare and air combat fighting are examples of domains where highly demanding tasks have to be executed. For an optimal performance on such tasks, humans have to process a great amount of information. This can be impaired due to limitations in human cognition. To aid humans in their task performance and to overcome the aforementioned limitations in human cognition, automated systems can be of help. On the one hand, systems can contribute support in case of performance degradation. On the other hand, automation can be used to provide training for people that have to perform well in demanding circumstances. Human-like agents that serve as opponents or team mates in training simulations need to be based on knowledge of human performance.
Author: Lambalgen, R.M. van
Language: English
Subfield: Human Factors and Ergonomics
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2132332862