@article{ref1,
title="Towards a sensitive measure of situation awareness in adaptively automated systems",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="2006",
author="McClernon, Christopher K. and Kaber, David B. and Perry, Carlene M. and Segall, Noa",
volume="50",
number="3",
pages="275-279",
abstract="The objective of this research was to assess the effectiveness of the Situation Awareness Global Assessment Technique (SAGAT) as an indicator of automation state changes in adaptive automation (AA) of a complex, dynamic control task. An air traffic control (ATC)-related simulation was developed to present automation of four different information processing (IP) functions, including information acquisition, information analysis, decision making, and action implementation, as well as to simulate a completely manual control condition. Eight participants operated the ATC simulation under the five conditions. SAGAT data revealed only a general effect of automated versus manual control, but no significant effects of the modes of AA on SA. These results suggested that SAGAT was not a sensitive measure in the ATC-related task. Consequently, a modified SAGAT measure is proposed with relevance weighting of environmental stimuli to promote sensitivity and reliability of measurement of SA in the target domain.<p /><p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/154193120605000314",
url="http://dx.doi.org/10.1177/154193120605000314"
}