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R. Patterson

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Publications by R. Patterson (bibliography)

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2010
 
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Boydstun, A. S., Patterson, R., Pierce, B., Park, L. M. and Shannan, J. (2010): On the Development of Training Principles for Intuitive Decision Making. In: Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010. pp. 1713-1716.

Many decisions made in real-world situations involve a form of intuitive pattern recognition. One way to investigate training principles for developing this type of decision making utilizes implicit learning in an immersive environment, where training stimuli are generated by a finite-state algorithm. In the current study, we investigated the effects of manipulating training-sequence length and algorithmic complexity in an immersive implicit-learning paradigm. Results: training-sequence length interacted with algorithmic complexity such that performance was best when training-sequence length was long and the algorithm was simple, and when training-sequence length was short and the algorithm was complex. When training intuitive decision making, training-sequence length should be matched to algorithmic complexity.

© All rights reserved Boydstun et al. and/or HFES

1989
 
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Patterson, R., Short, G. L. and Moe, L. (1989): Stereoscopic Depth Sensitivity Differences between the Crossed and Uncrossed Directions. In: Proceedings of the Human Factors Society 33rd Annual Meeting 1989. pp. 1427-1429.

This study investigated the temporal sensitivity of crossed and uncrossed stereoscopic mechanisms of 48 observers using stimuli created from dynamic random-dot stereograms. The results showed thresholds were lower and depth was more veridical in the crossed than in the uncrossed direction.

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

 
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Changes to this page (author)

16 Jan 2011: Added
15 Feb 2010: Modified
26 Jun 2007: Added

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May 24

For a list of all the ways technology has failed to improve the quality of life, please press three.

-- Alice Kahn

 
 

Featured chapter

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

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