TY - GEN
T1 - Impact of automation, task and context features on pilots' perception of human-automation interaction
AU - Mosier, Kathleen
AU - Fischer, Ute
AU - Durso, Frank
AU - Feigh, Karen
AU - Popp, Vlad
AU - Sullivan, Katlyn
AU - Morrow, Dan
PY - 2012
Y1 - 2012
N2 - Human-automation interaction (HAI) takes place in virtually every phase of flight under a variety of operational conditions. Pilots must decide when to engage and disengage automation, which automation to use, the extent to which they should monitor and crosscheck the automation, and so on. Currently, little is known about which characteristics of scenarios involving HAI are important in these decisions and precisely how they influence the interaction. The objective of the present research was to examine how systematic variations of automation characteristics, task features and context variables individually and jointly influence pilots' perception of HAI situations. Commercial pilots received descriptions of aviation situations and were asked to judge the cognitive demands and predict behaviors associated with each HAI event. Results of the study support the notion that HAI comprises a complex interplay between features of the automation and elements of the task and context.
AB - Human-automation interaction (HAI) takes place in virtually every phase of flight under a variety of operational conditions. Pilots must decide when to engage and disengage automation, which automation to use, the extent to which they should monitor and crosscheck the automation, and so on. Currently, little is known about which characteristics of scenarios involving HAI are important in these decisions and precisely how they influence the interaction. The objective of the present research was to examine how systematic variations of automation characteristics, task features and context variables individually and jointly influence pilots' perception of HAI situations. Commercial pilots received descriptions of aviation situations and were asked to judge the cognitive demands and predict behaviors associated with each HAI event. Results of the study support the notion that HAI comprises a complex interplay between features of the automation and elements of the task and context.
UR - http://www.scopus.com/inward/record.url?scp=84873418990&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873418990&partnerID=8YFLogxK
U2 - 10.1177/1071181312561035
DO - 10.1177/1071181312561035
M3 - Conference contribution
AN - SCOPUS:84873418990
SN - 9780945289418
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 70
EP - 74
BT - Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
T2 - Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Y2 - 22 October 2012 through 26 October 2012
ER -