English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Parameter Estimation of Multimodal Pilot Models for Manual Target-following Tasks

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

Pool, D., Zaal, P., Mulder, M., van Paassen, M., & Mulder, J. (2008). Parameter Estimation of Multimodal Pilot Models for Manual Target-following Tasks. In 27th European Annual Conference on Human Decision-Making and Manual Control (EAM '08).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-C903-4
Abstract
Estimation of the parameters of multimodal pilot models can give useful insight in pilots use of visual and simulator motion cues in manual vehicle control tasks. Depending on control task design, current multimodal pilot model identification techniques are in some instances unable to provide reliable parameter estimates. Application of a maximum likelihood estimation algorithm was found to yield good parameter estimates for data from a manual target-following task for which previously used identification techniques fell short, allowing for stronger conclusions on the effect of simulator motion cues on manual control for this task.