Cognitive Psychology

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ArdenCoverSheetPosterPresentationPortrait1copy.pptx
Arden University
BSc Psychology
Cognitive Psychology PSY4012
Top-Down and Bottom-Up Processing and its Relationship with Theories of Attention
Rabiya Rasheed
STU149743
Poster: 1249, Transcript: 1249

Transcript

One of the oldest issues in psychology is attention. Early Greeks used models of attention, and Aristotle saw it as a narrowing of the senses. The ability of a subject to track one sensory object while ignoring others was studied by philosophers Christian Wolff and Dugald Stewart in the 18th century (1982 cited in Hatfield, 1998). Wilhelm Wundt, an experimental psychologist, used introspection to examine the nature and content of his thoughts. Sigmund Freud distinguished between attended or conscious thought and mental processes that could not be reached by attention alone. Definitions, however, continued to be more conceptual than practical. In 1890, William James wrote: The definition of attention is universal. It involves the mind taking control of one out of what appears to be several simultaneously possible objects or trains of thought in clear and vivid form. It implies removing oneself from some situations in order to deal with others successfully (James, 1950; cited in Lindsay, 2020).

When it comes to how humans process information, attention is the mechanism that, at any given time, enhances some information and inhibits others. We can choose which information to process further thanks to the enhancement, and we can put some information on hold thanks to the inhibition. Regarding attending to stimuli, perception and attention are interdependent. The capacity for perception is the capacity to observe and be conscious of environmental stimuli, such as things, people, or events. Perception also includes our other senses, such as what we hear, touch, smell, and taste. It is not just limited to what we see. To understand the connection between attention and perception, cognitive psychology has invested a lot of time and energy. According to research, after we perceive something, we must pay attention to it before we can store it in our long-term memory. Additionally, we are able to perceive more details when we are paying attention to something (Katsuki & Constantinidis, 2014).

Bottom-up processing was proposed by James J. Gibson in 1966. Gibson suggested that as information enters a person's senses, analysis continues until understanding is achieved. The following are the three steps of bottom-up processing: Visual stimuli enter through the retina, where they are processed before being transmitted to the visual cortex where understanding and perception of the stimulus take place. ichard Gregory in 1970 proposed a new theory of top-down processing. Gregory's theory was based on the concept of scaffolding, which holds that the ability to make references to numerous prior stimuli is what allows sensation to occur. This enables the person to comprehend what is being interpreted more clearly. When someone uses the information they already know about the stimuli they are perceiving, this is known as top-down processing. Attention involves both bottom-up and top-down processing, according to research in cognitive psychology (Koch & Ullman, 1985; Desimone & Duncan, 1995; Posner, 1980). According to Treisman and Gelade (1980), bottom-up processing is automatic and involuntary, driven by sensory input from the environment, and is particularly significant in circumstances involving high perceptual salience. The goals, expectations, and prior knowledge that drive top-down processing, in contrast, enable selective attention and the exclusion of irrelevant stimuli (Corbetta & Shulman, 2002; Itti & Koch, 2001; cited in Pinto et al., 2013).

Broadbent Filter Model: Since information had to be filtered to limit the flow to a level that was cognitively manageable, Broadbent is credited with developing the first model of attention, which is frequently referred to as a "bottleneck theory" (Anderson et al., 2002). A well-known theory of selective attention that emphasizes the function of bottom-up processing in attention is Broadbent's Filter Model. This model proposes that sensory information is initially bottom-up and parallel processed, and then filtered according to its physical properties, such as location, pitch, or tone. Only the data that successfully navigate this filter is then forwarded to higher-level processing stages for additional analysis and integration.(Slonim, 2002).

Treisman's Attenuation Theory: A development of Broadbent's Filter Model that incorporates top-down processing in selective attention is Treisman's Attenuation Theory. The filter in the initial stages of sensory processing, according to this theory, is not totally rigid and is affected by both bottom-up and top-down processing factors. According to Treisman's Attenuation Theory, a "dictionary" of previously learned words, concepts, and expectations that is stored in long-term memory is what causes the top-down modulation of the filter. By giving the filtering process top-down direction, this dictionary can be used to make it easier to recognise familiar and meaningful stimuli.

Norman's Pertinence Model: Francois Bricolo proposed the Pertinence model, a top-down and bottom-up processing-based attention theory. According to Bricolo (2002), the "pertinence" or relevance of a stimulus to a person's present goals and expectations determines whether or not they pay attention to it. According to the Pertinence model, bottom-up processing entails the automatic and involuntary detection of environmental stimuli based on their physical traits, such as their brightness, contrast, or movement. According to Bricolo (2002), these bottom-up processes help with the initial selection of stimuli but are later influenced by top-down processes that decide on the pertinence or relevance of those stimuli.

Other theories that take into account both top-down and bottom-up processing include the Feature Integration Theory (Treisman, 2020) and Lavie's Perceptual Load Theory (Lavie, 2020). The latter theory contends that attention is required for integrating features into coherent objects and that perceptual load influences attentional selection. Overall, attentional selection is a complex process that involves the interaction of various elements, including sensory input, goals, expectations, and relevance, according to theories of attention that take into account both top-down and bottom-up processing. These theories emphasise how crucial it is to take into account both bottom-up and top-down processing in order to comprehend how attention functions and how attentional selection is influenced by different factors.

Both top-down and bottom-up processing interact to enable us to selectively attend to relevant information while filtering out irrelevant or distracting stimuli, making them essential components of attention. Theories of attention, such as the Pertinence Model, Treisman's Attenuation Theory, and Broadbent's Filter Model, have given important new insights into the intricate mechanisms underlying attention. Each theory offers a distinctive viewpoint on how attention functions, with varying advantages and disadvantages. While placing varying emphasis on the relative contributions of each type of processing, the theories all emphasise the significance of both bottom-up and top-down processing in attention. Numerous real-world applications, such as education, communication, and user interface design, depend on an understanding of the interaction between bottom-up and top-down processing in attention. Researchers and practitioners can create more efficient methods for controlling attention and improving cognitive performance by taking into account the insights offered by these theories (Mann, Kurdi & Banaji, 2020).

The use of these theories in a variety of industries, including education, technology, and advertising, could raise ethical questions. Bottom-up processing strategies used in advertising, such as the use of vivid colours and loud noises, can be perceived as deceptive and unethical. Similar to this, it may be argued that employing top-down processing techniques in educational settings, such as giving cues to direct attention, restricts students' capacity to hone their own attentional abilities. Technology professionals are worried about addiction and distraction due to the use of attentional cues and notifications to keep users engaged with apps and websites. Some claim that these methods limit our ability to perform more meaningful tasks by taking advantage of the brain's built-in propensities for bottom-up processing. It is crucial to use theories of attention responsibly and mindfully, and to think about the ethical ramifications of doing so in various contexts.

References

Broadbent, D. E. (2013). Perception and communication. Elsevier.

Bricolo, E., Gianesini, T., Fanini, A., Bundesen, C., & Chelazzi, L. (2002). Serial attention mechanisms in visual search: A direct behavioral demonstration. Journal of cognitive neuroscience, 14(7), 980-993.

Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature reviews neuroscience, 3(3), 201-215.

Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual review of neuroscience, 18(1), 193-222.

Deutsch, J. A. (1958). Perception and Communication. Nature, 182, 1572-1572.

Gottlieb, J. (2012). Attention, learning, and the value of information. Neuron, 76(2), 281-295.

Hatfield, G. (1998). Attention in Early Scientific Psychology. In R. Wright (Ed.), Visual Attention (pp. 3-25). Oxford University Press.

Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature reviews neuroscience, 2(3), 194-203.

James, W. (1950). Principles of Psychology (Vol. I). Dover Publications, Inc. (Original work published 1890)

Katsuki, F., & Constantinidis, C. (2014). Bottom-up and top-down attention: different processes and overlapping neural systems. The Neuroscientist, 20(5), 509-521.

Koch, C., & Ullman, S. (1987). Shifts in selective visual attention: towards the underlying neural circuitry. Matters of intelligence: Conceptual structures in cognitive neuroscience, 115-141.

Lavie, N. (2020). Perceptual load theory in action: Beyond selective attention. Attention, Perception, & Psychophysics, 82(4), 1617-1624. doi: 10.3758/s13414-019-01837-1

Lavie, N. (1995). Perceptual load as a necessary condition for selective attention. Journal of Experimental Psychology: Human perception and performance, 21(3), 451.

Lindsay, G. W. (2020). Attention in psychology, neuroscience, and machine learning. Frontiers in computational neuroscience, 14, 29.

Mann, T. C., Kurdi, B., & Banaji, M. R. (2020). How effectively can implicit evaluations be updated? Using evaluative statements after aversive repeated evaluative pairings. Journal of Experimental Psychology: General, 149(6), 1169.

Posner, M. I. (1980). Orienting of attention. Quarterly journal of experimental psychology, 32(1), 3-25.

Pinto, Y., van der Leij, A. R., Sligte, I. G., Lamme, V. A., & Scholte, H. S. (2013). Bottom-up and top-down attention are independent. Journal of vision, 13(3), 16-16.

Slonim, N. (2002). The information bottleneck: Theory and applications (Doctoral dissertation, Hebrew University of Jerusalem).

Treisman, A. (2020). Feature integration theory: A brief review. Journal of Cognitive Psychology, 32(2), 128-136. doi: 10.1080/20445911.2019.1703329

Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive psychology, 12(1), 97-136.

Treisman, A. M. (1964). Selective attention in man. British medical bulletin.

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