Attention

Psychology
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Cognitive psychology
Perception
Visual perception
Object recognition
Face recognition
Pattern recognition
Attention
Attention
Memory
Aging and memory
Emotional memory
Learning
Long-term memory
Language
Language
Thinking
Concepts
Reasoning
Decision making
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Attention is the cognitive process of selectively concentrating on one aspect of the environment while ignoring other things. Attention has also been referred to as the allocation of processing resources.[1]

Examples include listening carefully to what someone is saying while ignoring other conversations in a room (the cocktail party effect) or listening to a cell phone conversation while driving a car.[2] Attention is one of the most intensely studied topics within psychology and cognitive neuroscience.

William James, in his textbook Principles of Psychology, remarked:

Everyone knows what attention is. It is the taking possession by the mind, in clear and vivid form, of one out of what seem several simultaneously possible objects or trains of thought. Focalization, concentration, of consciousness are of its essence. It implies withdrawal from some things in order to deal effectively with others, and is a condition which has a real opposite in the confused, dazed, scatterbrained state which in French is called distraction, and Zerstreutheit in German.[3]

Attention remains a major area of investigation within education, psychology and neuroscience. Areas of active investigation involve determining the source of the signals that generate attention, the effects of these signals on the tuning properties of sensory neurons, and the relationship between attention and other cognitive processes like working memory and vigilance. A relatively new body of research is investigating the phenomenon of traumatic brain injuries and their effects on attention.

Contents

History of the study of attention

1850s to 1900s

In James' time, the method more commonly used to study attention was introspection. However, as early as 1858, Franciscus Donders used mental chronometry to study attention and it was considered a major field of intellectual inquiry by such diverse authors as Sigmund Freud. One major debate in this period was whether it was possible to attend to two things at once (split attention). Walter Benjamin described this experience as "reception in a state of distraction." This disagreement could only be resolved through experimentation.

1950s to present

In the 1950s, research psychologists renewed their interest in attention when the dominant epistemology shifted from positivism (i.e., behaviorism) to realism during what has come to be known as the "cognitive revolution".[4] The cognitive revolution admitted unobservable cognitive processes like attention as legitimate objects of scientific study.

Modern research on attention began with the analysis of the "cocktail party problem" by Colin Cherry in 1953. At a cocktail party how do people select the conversation that they are listening to and ignore the rest? This problem is at times called "focused attention", as opposed to "divided attention". Cherry performed a number of experiments which became known as dichotic listening and were extended by Donald Broadbent and others. [5] In a typical experiment, subjects would use a set of headphones to listen to two streams of words in different ears and selectively attend to one stream. After the task, the experimenter would question the subjects about the content of the unattended stream. Experiments by Gray and Wedderburn and later Anne Treisman pointed out various problems in Broadbent's early model and eventually led to the Deutsch-Norman model in 1968. In this model, no signal is filtered out, but all are processed to the point of activating their stored representations in memory. The point at which attention becomes "selective" is when one of the memory representations is selected for further processing. At any time, only one can be selected, resulting in the attentional bottleneck.[6]

This debate became known as the early-selection vs late-selection models. In the early selection models (first proposed by Donald Broadbent and Anne Treisman), attention shuts down or attenuates processing in the unattended ear before the mind can analyze its semantic content. In the late selection models (first proposed by J. Anthony Deutsch and Diana Deutsch), the content in both ears is analyzed semantically, but the words in the unattended ear cannot access consciousness.[7] This debate has still not been resolved.

Anne Treisman developed the highly influential feature integration theory.[8] According to this model, attention binds different features of an object (e.g., color and shape) into consciously experienced wholes. Although this model has received much criticism, it is still widely accepted or held up with modifications as in Jeremy Wolfe's Guided Search Theory.[9]

In the 1960s, Robert Wurtz at the National Institutes of Health began recording electrical signals from the brains of macaques who were trained to perform attentional tasks. These experiments showed for the first time that there was a direct neural correlate of a mental process (namely, enhanced firing in the superior colliculus).

In the 1990s, psychologists began using PET and later fMRI to image the brain in attentive tasks. Because of the highly expensive equipment that was generally only available in hospitals, psychologists sought for cooperation with neurologists. Pioneers of brain imaging studies of selective attention are psychologist Michael I. Posner (then already renown for his seminal work on visual selective attention) and neurologist Marcus Raichle. Their results soon sparked interest from the entire neuroscience community in these psychological studies, which had until then focused on monkey brains. With the development of these technological innovations neuroscientists became interested in this type of research that combines sophisticated experimental paradigms from cognitive psychology with these new brain imaging techniques. Although the older technique of EEG had long been used to study the brain activity underlying selective attention by cognitive psychophysiologists, the ability of the newer techniques to actually measure precisely localized activity inside the brain generated renewed interest by a wider community of researchers. The results of these experiments have shown a broad agreement with the psychological, psychophysiological and the experiments performed on monkeys.

Selective visual attention

The spotlight model of attention.

In cognitive psychology there are at least two models which describe how visual attention operates. These models may be considered loosely as metaphors which are used to describe internal processes and to generate hypotheses that are falsifiable. Generally speaking, visual attention is thought to operate as a two-stage process.[10] In the first stage, attention is distributed uniformly over the external visual scene and processing of information is performed in parallel. In the second stage, attention is concentrated to a specific area of the visual scene (i.e. it is focused), and processing is performed in a serial fashion.

The first of these models to appear in the literature is the spotlight model. The term "spotlight" was first used by David LaBerge,[11] and was inspired by the work of William James who described attention as having a focus, a margin, and a fringe.[12] The focus is an area that extracts information from the visual scene with a high-resolution, the geometric center of which being where visual attention is directed. Surrounding the focus is the fringe of attention which extracts information in a much more crude fashion (i.e. low-resolution). This fringe extends out to a specified area and this cut-off is called the margin.

The second model is called the zoom-lens model, and was first introduced in 1983.[13] This model inherits all properties of the spotlight model (i.e. the focus, the fringe, and the margin) but has the added property of changing in size. This size-change mechanism was inspired by the zoom lens you might find on a camera, and any change in size can be described by a trade-off in the efficiency of processing.[14] The zoom-lens of attention can be described in terms of an inverse trade-off between the size of focus and the efficiency of processing: because attentional resources are assumed to be fixed, then it follows that the larger the focus is, the slower processing will be of that region of the visual scene since this fixed resource will be distributed over a larger area. It is thought that the focus of attention can subtend a minimum of 1° of visual angle,[12][15] however the maximum size has not yet been determined.

Overt and covert attention

Attention may be differentiated according to its status as "overt" versus "covert."[16] Overt attention is the act of directing sense organs towards a stimulus source. Covert attention is the act of mentally focusing on one of several possible sensory stimuli. Covert attention is thought to be a neural process that enhances the signal from a particular part of the sensory panorama.

There are studies that suggest the mechanisms of overt and covert attention may not be as separate as previously believed. Though humans and primates can look in one direction but attend in another, there may be an underlying neural circuitry that links shifts in covert attention to plans to shift gaze. For example, if individuals attend to the right hand corner field of view, movement of the eyes in that direction may have to be actively suppressed.

The current view is that visual covert attention is a mechanism for quickly scanning the field of view for interesting locations. This shift in covert attention is linked to eye movement circuitry that sets up a slower saccade to that location.

Clinical model of attention

Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models. One of the most used models for the evaluation of attention in patients with very different neurologic pathologies is the model of Sohlberg and Mateer.[17] This hierarchic model is based in the recovering of attention processes of brain damage patients after coma. Five different kinds of activities of growing difficulty are described in the model; connecting with the activities that patients could do as their recovering process advanced.

This model has been shown to be very useful in evaluating attention in very different pathologies, correlates strongly with daily difficulties and is especially helpful in designing stimulation programs such as APT (attention process training), a rehabilitation program for neurologic patients of the same authors.

Executive attention

Inevitably situations arise where it is advantageous to have cognition independent of incoming sensory data or motor responses. There is a general consensus in psychology that there is an executive system based in the frontal cortex that controls our thoughts and actions to produce coherent behavior. This function is often referred to as executive function, executive attention, or cognitive control.[18]

No exact definition has been agreed upon. However, typical descriptions involve maintaining behavioral goals, and using these goals as a basis for choosing what aspects of the environment to attend to and which action to select.

Neural correlates of attention

Most experiments show that one neural correlate of attention is enhanced firing. If a neuron has a certain response to a stimulus when the animal is not attending to the stimulus, then when the animal does attend to the stimulus, the neuron's response will be enhanced even if the physical characteristics of the stimulus remain the same.

In a recent review, Knudsen[19] describes a more general model which identifies four core processes of attention, with working memory at the center:

Neurally, at different hierarchical levels spatial maps can enhance or inhibit activity in sensory areas, and induce orienting behaviors like eye movement.

In many cases attention produces changes in the EEG. Many animals, including humans, produce gamma waves (40-60 Hz) when focusing attention on a particular object or activity.[21]

See also

References

  1. Anderson, John R. (2004). Cognitive psychology and its implications (6th ed.). Worth Publishers. p. 519. ISBN 9780716701101. http://books.google.com/?id=9P4p6eAULMoC. 
  2. Strayer, DL; Drews FA & Johnston WA (2003). "Cell phone induced failures of visual attention during simulated driving". Journal of Experimental Psychology: Applied 9 (1): 23–32. doi:10.1037/1076-898X.9.1.23. PMID 12710835. 
  3. James, W. (1890). The Principles of Psychology. New York: Henry Holt, Vol. 1, pp. 403-404.
  4. Harré, Rom. Cognitive science: A philosophical introduction. London: SAGE Publications, 2002. ISBN 0761947469.
  5. Understanding cognition by Peter J. Hampson, Peter Edwin Morris 1996 ISBN 0631157514 page 112
  6. Understanding cognition by Peter J. Hampson, Peter Edwin Morris 1996 ISBN 0631157514 pages 115-116
  7. Deutsch, J.A. & Deutsch, D., (1963) Attention: some theoretical considerations. Psychological Review, 70, 80-90.
  8. Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97-136.
  9. Wolfe, J.M. (1994). "Guided search 2.0: a revised model of visual search." Psychonomic Bulletin Review 1: 202-238.
  10. Jonides J. (1983). Further towards a model of the mind's eye's movement. Bulletin of the Psychonomic Society, 21(4), 247-250.
  11. LaBerge D. (1983). Spatial extent of attention to letters and words. Journal of experimental psychology: Human perception and performance, 9(3), 371-379.
  12. 12.0 12.1 Eriksen C & Hoffman J. (1972). Temporal and spatial characteristics of selective encoding from visual displays. Perception & Psychophysics, 12(2B), 201–204.
  13. Eriksen C & St James J. (1986). Visual attention within and around the field of focal attention: A zoom lens model. Perception & Psychophysics, 40(4), 225–240.
  14. Castiello U & Umilta C. (1990). Size of the attentional focus and efficiency of processing. Acta Psychologica, 73(3), 195–209.
  15. Eriksen CW & Hoffman JE. (1973). The extent of processing of noise elements during selective encoding from visual displays. Perception & Psychophysics, 14, 155-160.
  16. Wright, R.D. & Ward, L.M. (2008). Orienting of Attention. Oxford University Press
  17. McKay Moore Sohlberg, Catherine A. Mateer (1989). Introduction to cognitive rehabilitation: theory and practice. New York: Guilford Press. ISBN 0-89862-738-9. 
  18. Pinel, J. P. (2008). Biopsychology (7th ed.). Boston: Pearson. (p. 357)
  19. Knudsen, Eric I (2007). "Fundamental Components of Attention". Annual Review of Neuroscience 30 (1): 57–78. doi:10.1146/annurev.neuro.30.051606.094256. PMID 17417935. 
  20. 20.0 20.1 Pattyn, N., Neyt, X., Henderickx, D., & Soetens, E. (2008). Psychophysiological Investigation of Vigilance Decrement: Boredom or Cognitive Fatigue? Physiology & Behavior, 93, 369-378.
  21. Kaiser J, Lutzenberger W (2003). "Induced gamma-band activity and human brain function". Neuroscientist 9 (6): 475–84. doi:10.1177/1073858403259137. PMID 14678580. 

Further reading

  • Bryden, M.P., (1971) "Attentional strategies and short-term memory in dichotic listening." Cognitive Psychology, 2, 99-116.
  • Cherry, E.C., (1953) "Some experiments on the recognition of speech, with one and with two ears," Journal of the Acoustical Society of America, 25, 975-979.
  • Deutsch, J.A. & Deutsch, D., (1963) "Attention: some theoretical considerations," Psychological Review, 70, 80-90.
  • Eriksen, B.A. and Eriksen, C.W., (1974) "Effects of noise letters on the identification of a target letter in a non-search task," Perception & Psychophysics, 16, 143-149.
  • Kahneman, D. (1973). Attention and effort. Englewood Cliffs, NJ: Prentice-Hall.
  • Kanwisher, N. & Wojciulik, E. (November 2000). Visual Attention: Insights from Brain Imaging. Nature Reviews: Neuroscience, Volume 1, 91-98.
  • Lauwereyns, Jan (February 2010). The Anatomy of Bias: How Neural Circuits Weigh the Options. Cambridge, MA: The MIT Press. ISBN 026212310X. http://mitpress.mit.edu/9780262123105. 
  • Lebedev, M.A., Messinger, A., Kralik, J.D., Wise, S.P. (2004) Representation of attended versus remembered locations in prefrontal cortex. PLoS Biology, 2: 1919-1935.
  • Moray, N., (1959) "Attention in dichotic listening: affective cues and the influence of instructions," Quarterly Journal of Experimental Psychology, 27, 56-60.
  • Neisser, U. Cognitive Psychology, New York: Appleton, 1967.
  • Pashler, H.E. (Ed.) (1998). Attention, East Sussex, UK: Psychology Press ISBN 0-86377-813-5
  • Posner, M.I., Snyder, C.R.R., & Davidson, D.J. (1980). Attention and the detection of signals. Journal of Experimental Psychology: General, 109, 160-174.
  • Posner, M.I., Raichle, M. (1994). Images of Mind. Scientific American Library.
  • Raz, A. 2004. Anatomy of attentional networks. The Anatomical Record Part B: The New Anatomist ;281(1):21-36 PMID 15558781
  • Sperling, G. (1960) "The information in brief visual presentations," Psychological Monographs, 74 (Whole number 11).
  • van Swinderen, B. (2005) "The remote roots of consciousness in fruit-fly selective attention?" BioEssays, 27, 321-330.
  • Treisman, A.M. (1969) "Strategies and models of selective attention," Psychological Review, 76, 282-299.
  • Wright, R.D., & Ward, L.M. (2008). Orienting of Attention. Oxford University Press.