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Peter J. Mikulka

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Publications by Peter J. Mikulka (bibliography)

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1995
 
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Prinzel, Lawrence J., Scerbo, Mark W., Freeman, Frederick G. and Mikulka, Peter J. (1995): A Bio-Cybernetic System for Adaptive Automation. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. pp. 1365-1369.

A bio-cybernetic, closed-loop system was validated for use in an adaptive automation environment. Subjects were asked to perform either a single task or multiple tasks from the Multi-Attribute Task Battery. EEG was continuously sampled while they performed the task(s) and an EEG index was derived (20 Beta/Alpha + Theta). The system switched between manual and automatic modes according to the level of operator engagement based upon the EEG index. The NASA-TLX was administered after each trial. The results of the study demonstrated that it was possible to moderate an operator's level of engagement through a closed-loop system driven by the operator's EEG. In addition, the system was sensitive to increases in task load. These findings show promise for designing adaptive automation technology around psychophysiological input.

© All rights reserved Prinzel et al. and/or Human Factors Society

 
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Changes to this page (author)

18 Feb 2010: Modified
27 Jun 2007: Added

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May 19

Design can be art. Design can be aesthetics. Design is so simple, that's why it is so complicated.

-- Paul Rand, 1997

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!