(CP15) Perception-Based Knowledge: How Our Senses Shape Our Understanding of the World
Abstract: Perception-based knowledge is the
understanding that our perception plays a crucial role in shaping our knowledge
and understanding of the world. This article explores perception-based
knowledge, its components, and its impact on our cognitive processes. Perception-based
knowledge refers to the knowledge that is derived from our perceptions of the
world around us, which can be divided into two main components: bottom-up
processing and top-down processing. Perception-based knowledge plays a crucial
role in many cognitive processes, including attention, memory, and
problem-solving, and has a significant impact on our everyday lives. Factors
that influence perception-based knowledge include sensory inputs, attention,
expectations, context, and culture. Understanding perception-based knowledge is
important because it helps us make sense of the world around us and can lead to
better decision-making and communication.
Introduction:
As humans, we rely heavily on our senses to make sense of
the world around us. Our experiences and interactions with our environment are
shaped by our perception of the world. Perception-based knowledge is the
understanding that our perception plays a crucial role in shaping our knowledge
and understanding of the world. In this article, we will explore
perception-based knowledge, its components, and its impact on our cognitive
processes.
What is Perception-Based Knowledge?
Perception-based knowledge refers to the knowledge that is
derived from our perceptions of the world around us. Our perceptions are based
on the information that our senses provide us with, and our interpretation of
that information. Perception-based knowledge can be divided into two main
components: bottom-up processing and top-down processing.
Bottom-Up Processing:
Bottom-up processing refers to the process of building up
our understanding of the world based on the information that our senses provide
us with. This process is built from the ground up, starting with the smallest sensory details.
For example, when we see an object, we first process its basic visual features,
such as its shape, color, and texture, before moving on to higher-level
processing, such as identifying the object.
Top-Down Processing:
Top-down processing refers to the process of building up our
understanding of the world based on our prior knowledge and experiences. This
process is our understanding of the world is shaped by our expectations and
beliefs. For example, when we see a word, we first use our prior knowledge of
the language and the context to identify the word before processing its
individual letters.
The Role of Perception-Based Knowledge in Cognitive
Processes
Perception-based knowledge plays a crucial role in many cognitive
processes, including attention, memory, and problem-solving. Here are a few
examples:
·
Attention: Our attention is drawn to stimuli
that are salient, or that stand out from their surroundings. This is because
our perception-based knowledge tells us that these stimuli are more likely to
be important. For example, if we are walking in a crowded street and we hear a
loud noise, our attention will be drawn to the source of the noise.
·
Memory: Our memories are also shaped by our
perception-based knowledge. We are more likely to remember things that are
salient or that have emotional significance. For example, we are more likely to
remember the details of a car accident than the details of a routine drive to
work.
·
Problem-Solving: Our perception-based knowledge
can also help us solve problems. When faced with a problem, we often rely on
our prior knowledge and experiences to guide our solution. For example, if we
are trying to fix a leaky faucet, we may use our prior knowledge of plumbing to
guide our solution.
The Impact of Perception-Based Knowledge on Everyday Life:
Perception-based knowledge has a significant impact on our
everyday lives. Our understanding of the world is shaped by our perception, and
this shapes our beliefs, attitudes, and behaviors. For example, our perception
of other people can shape our attitudes towards them. If we perceive someone to
be friendly and trustworthy, we are more likely to befriend them.
Factors That Influence
Perception-Based Knowledge:
Perception-based knowledge is influenced by a variety of
factors, including:
- Sensory Inputs: Our perception-based knowledge is
heavily influenced by the sensory inputs we receive. Our sensory organs,
such as eyes, ears, nose, skin, and tongue, collect information from the
environment, which is then processed by our brain to form a perception.
- Attention: Our attention plays a crucial role in
shaping our perception-based knowledge. The things we pay attention to are
more likely to be processed and remembered than things we ignore.
- Expectations: Our expectations about the world and the
people in it also influence our perception-based knowledge. For example,
if we expect a person to be kind, we are more likely to perceive their
behavior as friendly.
- Context: The context in which we experience stimuli
also influences our perception-based knowledge. For example, a loud noise
in a quiet room will be perceived differently than the same noise in a
noisy environment.
- Culture: Our culture and upbringing also shape our
perception-based knowledge. Cultural differences in perception can be seen
in areas such as color perception and visual illusions.
Conclusion:
Perception-based knowledge is a fundamental aspect of our
cognitive processes. It refers to the knowledge that is derived from our
perceptions of the world around us. Perception-based knowledge is influenced by
a variety of factors, including sensory inputs, attention, expectations,
context, and culture. Understanding perception-based knowledge is important
because it helps us make sense of the world around us and can lead to better
decision-making and communication.
References:
- Biederman,
I. (1987). Recognition-by-components: A theory of human image
understanding. Psychological Review, 94(2), 115-147.
- Bruner,
J. S. (1957). Going beyond the information given. Norton.
- Bruner,
J. S., Goodnow, J. J., & Austin, G. A. (1956). A study of thinking.
Wiley.
- Gibson,
J. J. (1966). The senses considered as perceptual systems. Houghton
Mifflin.
- Gibson,
J. J. (1979). The ecological approach to visual perception. Houghton
Mifflin.
- Goldstein,
E. B. (2019). Sensation and perception. Cengage Learning.
- Gregory,
R. L. (1980). Perceptions as hypotheses. Philosophical Transactions of the
Royal Society B, 290(1038), 181-197.
- Hochberg,
J. (1978). Perception. Englewood Cliffs, NJ: Prentice-Hall.
- Irwin,
D. E. (1991). Information integration across saccadic eye movements.
Cognitive Psychology, 23(3), 420-456.
- Kosslyn,
S. M. (1980). Image and mind. Harvard University Press.
- Marr,
D. (1982). Vision: A computational investigation into the human
representation and processing of visual information. Freeman.
- Mather,
G., & Murdoch, L. (1994). Gender discrimination in natural vision: a
challenge for computational models of object recognition. Vision Research,
34(19), 2661-2673.
- Neisser,
U. (1967). Cognitive psychology. Appleton-Century-Crofts.
- Nelson,
R. (2013). Understanding color vision. John Wiley & Sons.
- Pylyshyn,
Z. W. (1984). Computation and cognition: Toward a foundation for cognitive
science. MIT Press.
- Rock,
I. (1983). The logic of perception. MIT Press.
- Rock,
I., & Palmer, S. (1990). The legacy of Gestalt psychology. Scientific
American, 263(6), 84-90.
- Schacter,
D. L., Gilbert, D. T., & Wegner, D. M. (2011). Psychology. Macmillan.
- Shepard,
R. N. (1984). Ecological constraints on internal representation: resonant
kinematics of perceiving, imagining, thinking, and dreaming. Psychological
Review, 91(4), 417-447.
- Shepard,
R. N., & Metzler, J. (1971). Mental rotation of three-dimensional
objects. Science, 171(3972), 701-703.
- Treisman,
A. (1993). The perception of features and objects. In Computational models
of visual processing (pp. 133-145). MIT Press.
- Tversky,
B. (1977). Features of similarity. Psychological Review, 84(4), 327-352.
