Computer Science – Human-Computer Interaction
Scientific paper
2008-10-27
Computer Science
Human-Computer Interaction
12 pages, 7 figures, 1 table (review, theoretical overview paper)
Scientific paper
This paper contributes to the human-machine interface community in two ways: as a critique of the closed-loop AC (augmented cognition) approach, and as a way to introduce concepts from complex systems and systems physiology into the field. Of particular relevance is a comparison of the inverted-U (or Gaussian) model of optimal performance and multidimensional fitness landscape model. Hypothetical examples will be given from human physiology and learning and memory. In particular, a four-step model will be introduced that is proposed as a better means to characterize multivariate systems during behavioral processes with complex dynamics such as learning. Finally, the alternate approach presented herein is considered as a preferable design alternate in human-machine systems. It is within this context that future directions are discussed.
No associations
LandOfFree
The adaptability of physiological systems optimizes performance: new directions in augmentation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The adaptability of physiological systems optimizes performance: new directions in augmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The adaptability of physiological systems optimizes performance: new directions in augmentation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-324599