Paper Info
Title
Adaptive automation and cue invocation: the effect of cue timing on operator error
Abstract
Adaptive automation (AA) can improve performance while addressing the problems associated with a fully automated system. The best way to invoke AA is unclear, but two ways include critical events and the operator's state. A hybrid model of AA invocation, the dynamic model of operator overload (DMOO), that takes into account critical events and the operator's state was recently shown to improve performance. The DMOO initiates AA using critical events and attention allocation, informed by eye movements. We compared the DMOO with an inaccurate automation invocation system and a system that invoked AA based only on critical events. Fewer errors were made with DMOO than with the inaccurate system. In the critical event condition, where automation was invoked at an earlier point in time, there were more memory and planning errors, while for the DMOO condition, which invocated automation at a later point in time, there were more perceptual errors. These findings provide a framework for reducing specific types of errors through different automation invocation.
Year
DOI
Venue
2013
10.1145/2470654.2466426
CHI
Keywords
Field
DocType
automated system,account critical event,operator error,cue invocation,critical event,dmoo initiates aa,adaptive automation,different automation invocation,aa invocation,inaccurate automation invocation system,cue timing,critical event condition,dmoo condition,eye tracking,situation awareness,eye movements,automation,situational awareness,fan out,supervisory control
Situation awareness,Invocation,Supervisory control,Computer science,Automation,Real-time computing,Eye tracking,Eye movement,Operator (computer programming),Perception
Conference
Citations 
PageRank 
References 
4
0.52
6
Authors
5
Name
Order
Citations
PageRank
Daniel Gartenberg1212.30
Leonard A. Breslow221217.60
Joo Park340.52
J Malcolm McCurry4437.42
J. Gregory Trafton584191.79