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CogPsych 3

Chapter 3: (Sensation and) Perception

QuestionAnswer
What is perception? Conscious experiences resulting from stimulation of the senses.
What is sensation? Raw stimulus energy from the environment.
What is the nature of perception? - Perceptions can change based on added information - Perception involves a process similar to reasoning or problem solving - Perception can be based on a perceptual rule; based on past experience - Perception occurs in conjunction with action
What is the inverse projection problem? The task of determining the object responsible for the image on the retina. A particular image on the retina can be created by many different objects in the environment.
How are people able to easily understand that covered parts of an objects continue to exist? They use their knowledge of the environment to determine what is likely to be present.
What is bottom-up processing? Processing that starts when environmental energy stimulates the receptors.
What is top-down processing? Processing that originates in the brain. e.g. knowledge of the environment.
What is speech segmentation? People well versed in one language are able to tell when one word ends and the next one begins because of their knowledge of the language.
How is speech segmentation an example of top-down processing? Listeners can receive identical sound stimuli but experience different perceptions means that each listener's experience with language or lack of it is influencing his or her perception.
What is the direct pathway model of pain? Pain occurs when receptors in the skin called nociceptors are stimulated and send their signals in a direct pathway from the skin to the brain.
How has modern research proven the direct pathway model of pain wrong? Pain can be influenced by what a person expects, how the person directs his or her attention, and the type of distracting stimuli that are present.
Describe Helmholtz's theory of unconscious inference. Problem of ambiguous image on the retina solved by the likelihood principle, which occurs by a process called unconscious inference. Perception resembles problem solving process which happens rapidly and unconsciously, making perception seem “automatic”.
What is the likelihood principle? Perceiving the object that is most likely to have caused the pattern of stimuli we have received.
What is unconscious inference? Our perceptions are the result of unconscious assumptions or inferences that we make about the environment
What is the main principle of Gestalt psychologists? The whole (of perception) is more than the sum of its parts (of sensation) . The whole precedes the parts.
What are the 6 Gestalt laws of perceptual organization? - Law of Pragnanz (Simplicity) - Law of Similarity - Law of Good continuation - Law of Proximity - Law of Common fate - Law of Familiarity
What is the law of Praganz? Every stimulus pattern seen so the resulting figure perceived as simple as possible
What is the law of similarity? Similar things appear to be grouped together.
What is the law of good continuation? - Points that, when connected, result in straight or smooth curving lines grouped together - Lines follow the smoothest path - Objects that are overlapped are perceived as continuing behind the overlapping object
What is the law of proximity? Things that are near to each other are grouped together
What is the law of common fate? Things moving in the same direction are grouped together
What is the law of familiarity? Things are more likely to form groups if groups appear familiar or meaningful
What is the role of the Gestalt laws? • Perceptual principles described as “intrinsic laws” that are built into the visual system • Consistent with Gestalt idea that although personal experience can influence perception, the role of experience is minor compared to perceptual principles
What is the modern view on perception? Perception is influenced by our knowledge of regularities in the environment: characteristics of environment that occurs frequently. Our system is adapted to respond to the physical characteristics of our environment.
What are physical regularities? Regularly occurring physical properties of environment
What are some examples of physical regularities? • Oblique effect - individuals recognised vertical or horizontal lines faster than oblique lines due to more horizontal/vertical lines in natural environment (trees) • Light-from-above assumption and the Cornsweet illusion (the sun)
What are semantic regularities? Characteristics associated with the functions carried out in different types of scenes.
What are some examples of semantic regularities? - Scene schema - knowledge of what a scene typically contains
How did Palmer (1975) demonstrate semantic regularities? She presented the scene of a kitchen, and then briefly flashed a few target pictures. She then asked observers to identify the object in the target picture. Nearly 80% chose the loaf of bread.
What is Bayesian inference? Estimate of probability of an outcome is determined by two factors: 1) The prior, which is our initial belief about the probability of an outcome 2) The likelihood, which is the extent to which the available evidence is consistent with the outcome
What is Bayesian inference based on? It combined Helmholtz’s idea of unconscious inference and the concept of environmental regularities - restates Helmholtz’s idea of unconscious inference in terms of probability
What happens during Bayesian inference? People start with a prior, then use additional evidence to update the prior and reach a conclusion.
How can Bayesian inference be applied to the inverse projection problem? - Prior: environmental regularities (both physical and semantic) built up based on previous experience - Likelihood: additional bottom-up evidence such as retinal images based on changing viewing angle and distance
What are visual heuristics? Rules of thumb, “best-guess predictions”. They: - Reflect experience or evolutionary forces - Do not always provide correct solution, but sufficiently correct most of the time - Fast, automatic and effortless
How are visual heuristics used? •The mind uses visual heuristics to disambiguate the signal received from the retina • Visual heuristics constraint the number of 3- dimensional objects that could be projected into the 2-dimensional image
What are the 5 visual heuristics? Collinearity, common region, uniform connectedness, occlusion and interposition.
What is collinearity heuristic? Collinear points in 2-dimension are collinear in 3-dimension and edges that meet in 2- dimension also meet in 3-dimension
What is common region heuristic? Elements that are within the same region of space are grouped together
What is uniform connectedness heuristic? Things that are physically connected or have similar surface color/texture are perceived as a unit
What is occlusion heuristic? When an object is partially covered by a smaller occluding object, the larger object is seen as continuing behind the smaller occluder
What is the interposition heuristic? If object A covers part of object B, then object A must be closer than object B
What are the three main theories of object recognition? - Template theories - Feature theories - Structural theories
Describe the template theory of object recognition. Objects represented in memory as pictures, called templates • Input stimulus compared to all templates • Similarity between input shape and template computed by correlating brightness of input and preferred brightness for each point in template
What are the advantages of the template theory of object recognition? - All other classes of theories must have templates at some level - Cells in visual cortex are responding like simple templates
What are the disadvantages of the template theory of object recognition? - Inputs must be normalized (resized, rotated, repositioned) prior to matching - Does not address viewpoint invariance, inverse optics and partial occlusion problems - Difficult to generalize to new instances
Describe the feature theory of object recognition. • Objects stored as features • Features of input image compared to feature list stored in memory • Object in memory matching most number of features recognized
What are the advantages of the feature theory of object recognition? - No normalization required - Can overcome depth rotation by having different sets for different views of an object by using 3-dimension features - Allows easy generalization to new instances
What are the disadvantages of the feature theory of object recognition? - Problems with recognizing different objects with similar features - No coding for relations between features
Describe the structural theory of object recognition. • Objects stored in memory in terms of features and categorical relations between them • Features and relations extracted from image and compared to shape descriptions stored in memory
What are the advantages of the feature theory of object recognition? - No normalization required - Generally used 3-dimensional “units” and a small number of description for each object to overcome depth rotation - Allows easy generalization to new instances - Predict recognition problems when features are scrambled
What are the disadvantages of the feature theory of object recognition? - Unclear which features and relations are used in description - Unclear how visual system stores and analyzed features and relations
Describe Biederman's Recognition By Components (RBC) theory - Objects represented as a set of geons (geometric icons) and their categorical relations to one another (e.g. relative size, position, orientation) - Geons are generalized cylinders that can be generally recognized from any perspective - 36 geons
What are the disadvantages of RBC theory? • Difficulty with differentiating objects with same geons • For example, ‘Dogs’ and ‘Cats’: Large cylinder above 4 small cylinders and next to 2 small cylinders
What are the 6 problems of visual attention? 1. the inverse projection problem 2. Ambiguity in surface features of objects 3. Object size and distance ambiguous in 2-dimensional representation 4. Viewpoint invariance 5. Occlusion 6. Illusory contours
Describe low-mid- and high level vision. • Low-level vision: detects pixels, features, edges, etc • Mid-level vision: Grouping/segmentation, figure/ ground organisation (identifying a figure from the background) • High-level vision: Object & scene recognition
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