@inproceedings{ea1648a9c2ac414daa1d3951d7d34ad2,
title = "Detection of operator performance breakdown as an automation triggering mechanism",
abstract = "Performance breakdown (PB) has been anecdotally described as a state where the human operator 'loses control of context' and 'cannot maintain required task performance.' Preventing such a decline in performance is critical to assure the safety and reliability of human-integrated systems, and therefore PB could be useful as a point at which automation can be applied to support human performance. However, PB has never been scientifically defined or empirically demonstrated. Moreover, there is no validated objective way of detecting such a state or the transition to that state. The purpose of this work is: 1) to empirically demonstrate a PB state, and 2) to develop an objective way of detecting such a state. This paper defines PB and proposes an objective method for its detection.",
author = "Yoo, {Hyo Sang} and Lee, {Paul U.} and Landry, {Steven J.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 34th Digital Avionics Systems Conference, DASC 2015 ; Conference date: 13-09-2015 Through 17-09-2015",
year = "2015",
month = oct,
day = "28",
doi = "10.1109/DASC.2015.7311404",
language = "English (US)",
series = "AIAA/IEEE Digital Avionics Systems Conference - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3D31--3D39",
booktitle = "34th Digital Avionics Systems Conference, DASC 2015",
address = "United States",
}