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AttentionFrom Theory to Practice$
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Arthur F. Kramer, Douglas A. Wiegmann, and Alex Kirlik

Print publication date: 2006

Print ISBN-13: 9780195305722

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195305722.001.0001

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Attention and Its Allocation: Fragments of a Model

Attention and Its Allocation: Fragments of a Model

Chapter:
(p.16) Chapter 2 Attention and Its Allocation: Fragments of a Model
Source:
Attention
Author(s):

Thomas B. Sheridan

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195305722.003.0002

Attention can be either voluntary or involuntary, and it can be either exteroceptive or non-exteroceptive. This chapter deals mostly with exteroceptive attention, because what produces attention by the brain in the absence of overt, observable triggering events seems much more difficult to grapple with. Non-exteroceptive attention typically occurs over longer time periods (for example, reflecting on last night's party). Many different words seem to relate to attention but are not quite the same in meaning: situation awareness, mental workload, vigilance, fatigue, drowsiness, alertness, activation, and distraction. In the spirit of this book honoring Christopher Wickens, this chapter reviews several different behavior modeling ideas. It offers an engineering approach to attentional control, discussing how concepts such as fuzzy logic, Kalman estimators, Yufix virtual associative networks, and Bayesian logic might be used to provide quantitative predictions concerning the manner in which attention is allocated in complex tasks.

Keywords:   attention, exteroceptive attention, non-exteroceptive attention, behavior modeling, attentional control, fuzzy logic, Bayesian logic, engineering, Kalman estimators, Yufix virtual associative networks

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