Automation can improve operator performance and reduce workload, but it may also reduce situation awareness (SA) and the ability to return-to-manual performance. This thesis examined the potential benefits and costs of increasing the degree of automation (DOA) assistance on operator performance, workload, SA, and return-to-manual performance. The experiments indicated that action recommendation automation (higher DOA) produced superior outcomes to automation supporting information acquisition and analysis (lower DOA). Furthermore, action implementation automation (full DOA) was more effective than action recommendation automation, but system designers should be aware that operators may be poor at detecting automation failures when using a full DOA.
|Qualification||Doctor of Philosophy|
|Award date||25 Jan 2021|
|Publication status||Unpublished - 2020|