Learning Objectives
3-1
Describe the difference between sensation and perception.
3-2
Identify multiple reasons why it is difficult to create a “perceiving machine” even with recent advances in artificial intelligence and computer vision.
3-3
Describe the principles of perceptual organization, including good continuation, pragnanz, and similarity.
3-4
Explain why two people may perceive the same stimulus differently.
3-5
Describe the difference between bottom-up and top-down processing.
3-6
Explain how perception depends on a person’s knowledge of the environment.
3-7
Explain why the brain responds best to things that are likely to appear in the environment, often called physical regularities.
3-8
Discuss the role of the fusiform face area (FFA) as a visual expertise brain region.
3-9
Describe the connection between perception and action—and how they relate to the ventral (“what”) and dorsal (“where”) pathways.
perception
Conscious experience that results from stimulation of the senses.
arriving at a perception can involve a process. And one that is similar to reasoning or problem solving.
perceptions can change based on added information.
perception occurs in conjunction with action.
In most cases, perception occurs so rapidly and effortlessly that it appears to be automatic. But it’s not.
It is important to recognize that while perception creates a picture of our environment and helps us take action within it, it also plays a central role in cognition in general.
When we consider that perception is essential for creating memories, acquiring knowledge, solving problems, communicating with other people, recognizing someone you met last week, and answering questions on a cognitive psychology exam, it becomes clear that perception is the gateway to all the other cognitions.
sensation
The process by which our sensory receptors and nervous system receive and represent stimulus energies from our environment. It involves the detection of physical stimuli (such as light) by the sensory organs (such as eyes) and converting these stimuli into neural signals.
Machine learning
A form of artificial intelligence that uses algorithms and statistical models enabling computers to perform specific tasks by learning from data and improve their performance over time (instead of using explicit instructions).
deep learning
A form artificial intelligence that uses neural networks with many layers (hence the term “deep”) to model complex patterns in large datasets. Deep learning algorithms are particularly powerful for tasks involving high-dimensional data, such as image and speech recognition and natural language processing.
inverse projection problem
Task of determining the object that caused a particular image on the retina.
Occlusion
The perceptual phenomenon in which part or all of an object or scene are obscured (blocked or hidden) from view.
viewpoint invariance
The ability to recognize an object seen from different viewpoints.
The difficulties facing any perceiving machine illustrate the process of perception is more complex than people may first suspect.
Our task, therefore, in describing perception is to explain this process, focusing on how the “human perceiving machine” operates.
We begin by considering the following two types of information used by the human perceptual system:
(1)
environmental energy that stimulates receptors and
(2)
knowledge and expectations that the observer contributes to the situation.
bottom-up processing
Processing that starts with information received by the receptors. This type of processing is also called data-based processing.
Looking at something creates an image on the retina.
This image generates electrical signals that are transmitted through the retina, and then to the visual receiving area of the brain.
This sequence of events from eye to brain is called bottom-up processing because it starts at the “bottom” or beginning of the system when environmental energy stimulates the receptors.
top-down processing
Processing that involves a person’s knowledge or expectations. This type of processing has also been called knowledge-based processing.
This knowledge enables people to rapidly identify objects and scenes, and also to go beyond mere identification of objects to determining the story behind a scene.
Perceiving Objects
An example of top-down processing, “the multiple personalities of a blob,”
because even though all of the blobs are identical, they are perceived as different objects depending on their orientation and the context within which they are located.
We perceive the blob as different objects because of our knowledge of the kinds of objects that are likely to be found in different types of scenes.
The human advantage over computers is therefore due, in part, to the additional top-down knowledge available to humans.
speech segmentation
The process of perceiving individual words within the continuous flow of the speech signal.
transitional probabilities
In speech, the likelihood that one speech sound will follow another within a word.
statistical learning
The process of learning about transitional probabilities and about other characteristics of language. Statistical learning also occurs for vision, based on learning about what types of things usually occur in the environment.
Hermann von Helmholtz
1821–1894
physicist
One of Helmholtz’s contributions to perception was based on his realization that the image on the retina is ambiguous.
We have seen that ambiguity means that a particular pattern of stimulation on the retina can be caused by an infinite number of possible objects in the environment.
Helmholtz’s question was, how does the perceptual system “decide” that this pattern on the retina was created by overlapping rectangles?
His answer was the likelihood principle.
An important feature of Helmholtz’s proposal is that this process of perceiving what is most likely to have caused the pattern on the retina happens rapidly and unconsciously. These unconscious assumptions, which are based on the likelihood principle, result in perceptions that seem “instantaneous,” even though they are the outcome of a rapid process.
likelihood principle
Part of Helmholtz’s theory of unconscious inference that states that we perceive the object that is most likely to have caused the pattern of stimuli we have received.
According to Helmholtz, this judgment of what is most likely occurs by a process called unconscious inference
unconscious inference
Helmholtz’s idea that some of our perceptions are the result of unconscious assumptions that we make about the environment.
Gestalt psychologists
A group of psychologists who proposed principles governing perception, such as laws of organization, and a perceptual approach to problem-solving involving restructuring.
About 30 years after Helmholtz proposed his theory of unconscious inference.
The Gestalt approach to perception originated, in part, as a reaction to Wilhelm Wundt’s structuralism.
The Gestalt psychologists rejected the idea that perceptions were formed by “adding up” sensations.
main point is the Gestalt psychologists realized perception is based on more than the pattern of light and dark on the retina.
In their conception, perception is determined by specific principles that organize visual information.
Max Wertheimer (1912) describes these principles as “intrinsic laws,” which implies that they are built into the system.
This idea that the principles are “built in” is consistent with the Gestalt psychologists’ idea that although a person’s experience can influence perception, the role of experience is minor compared to the perceptual principles
apparent movement
An illusion of movement perception that occurs when stimuli in different locations are flashed one after another with the proper timing.
movement is perceived, nothing is actually moving. Three components to stimuli create apparent movement:
(1)
One light flashes on and off
(2)
there is a period of darkness, lasting a fraction of a second and
(3)
the second light flashes on and off
Physically, therefore, two lights are flashing on and off separated by a period of darkness. But we don’t see the darkness because our perceptual system adds something during the period of darkness—the perception of a light moving through the space between the flashing lights.
Wertheimer drew two conclusions:
His first conclusion was that apparent movement cannot be explained by sensations because there is nothing in the dark space between the flashing lights.
His second conclusion became one of the basic principles of Gestalt psychology: The whole is different than the sum of its parts.
principles of perceptual organization
principles of Rules proposed by the Gestalt psychologists to explain how small elements of a scene or a display become perceptually grouped to form larger units. These “laws” are described as “heuristics” in this book.
principle of good continuation
Law of perceptual organization stating that points that, when connected, result in straight or smoothly curving lines are seen as belonging together. In addition, lines tend to be seen as following the smoothest path.
law of pragnanz
Also called principle of good figure or the principle of simplicity
Law of perceptual organization that states that every stimulus pattern is seen in such a way that the resulting structure is as simple as possible. Also called the law of good figure and the law of simplicity.
The familiar Olympic symbol is an example of the law of simplicity at work. We perceive this display as five circles and not as a larger number of more complicated shapes.
principle of similarity
Law of perceptual organization that states that similar things appear to be grouped together.