English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Meeting Abstract

Closed-loop control performance and workload in a flight simulator

MPS-Authors
/persons/resource/persons83861

Chuang,  LL
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons192889

Flad,  N
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons192769

Scheer,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84111

Nieuwenhuizen,  FM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Ressource
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Chuang, L., Flad, N., Scheer, M., Nieuwenhuizen, F., & Bülthoff, H. (2014). Closed-loop control performance and workload in a flight simulator. In A. Schütz, K. Drewing, & K. Gegenfurtner (Eds.), 56th Conference of Experimental Psychologists (TeaP 2014) (pp. 45). Lengerich, Germany: Pabst.


Cite as: http://hdl.handle.net/21.11116/0000-0001-3416-C
Abstract
In closed-loop control tasks (e.g., flying), the human operator is required to continuously monitor visual feedback, so as to evaluate the consequence of his actions and to correct them according to his goal. A flight simulator environment allows us to evaluate the influence of control challenges such as visual feedback delays and control disturbances without endangering the human operator. In addition, a stable simulator environment allows for more robust eye-movement and physiological recordings, which would be difficult to obtain in an actual test-flight. Eye-movement recordings can reveal the aspects of visual information that is relied on for the execution of certain maneuvers. Meanwhile, electrophysiological recordings for heart-based and skin conductance activity as well as EEG can reflect aspects of operator workload. My talk will present work on how visual feedback visualization and latency influences both control performance and workload. This will exemplify how control behavior in a flight simulator differs from that of a comparable compensatory tracking task. In doing so, I will convey the benefits and technical challenges involved in performing behavioral studies in a fixed-base flight simulator that is suitable for evaluating closed-loop control performance, eye- movement behavior and physiological recordings.