1/32
Perception
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Sensation
detection of physical energy
Perception
organisation and interpretation of sensory information that produces our experience
Bottom-up processing
Perception begins with sensory information and builds towards meaningful representation
Top-down processing
Using prior knowledge, expectations and context to interpret sensory input
Gibson’s (1950) direct (ecological) theory of perception
The enviro contains sufficient info for perception The purpose of perception is to guide behaviour. Perception occurs directly from sensory information, without the need for extensive cognitive inference. Our perceptual systems have evolved to detect this information efficiently
Invariants - info available from the enviro
The sensory info changes as we move through the world, but certain relationships remain stable, allowing us to perceive objects and events directly
The visual system can directly detect stable patterns in the enviro, including:
Optic flow, Motion parallax, Texture gradients, Affordances
Optic flow patterns
Pattern of movement across the retina due to self-motion - What changes as we move? Provides information about the: direction of movement, speed, distance
Motion parallax
The relative speed difference between objects at varying distances, which creates the visual impression of depth
• Nearby objects move rapidly across your retina
• Distant objects move more slowly
• Very distant objects appear stationary
Texture gradients
Evenly spaced elements appear closely packed together as the distance from the viewer increases
Affordances
Action possibilities that objects or environments offer An affordance depends on both: the physical features of the object/enviro, and the physical abilities of the organism.
Exist in the enviro regardless of whether anyone perceives them
Gibson’s perspective on learning perception
suggested that we don’t need to learn to perceive
Visual cliff experiment – do infants perceive depth?
Table split in half (midpoint=ridge), one side shallow, other deep. Mother encourages baby to come to deep/shallow side. Babies more likely to to shallow side. Concluded: depth doesn’t require learning
Critiques of Gibson and Walk
Duration of infant crawling experience predicts avoidance of the visual cliff
• at 7.5 – 8.5 months infants: 35% of inexperienced crawlers avoid the visual cliff as compared with 65% of more experienced crawlers
• Kittens raised in the dark (27 days) do not avoid the visual cliff
Context predicts deep side approach/avoidance
• 12-month-old infants: if mothers smiled, infants more likely to crawl to deep side cliff, but if mothers made a frightened face, infants avoided the cliff
Top-down processing in perception
Knowledge/expectations the observer brings to the situation influence interpretation of sensory info.
e.g. what we expect to see in different contexts influences our interpretation of the identity of the “blobs” inside the circles
Phoneme restoration
Participants heard spoken sentences in which a word mid-sentence was partially covered by a cough. Participants had the perception of hearing the whole word
Perception is an active construction of reality
Both bottom-up and top-down processes interact to produce our perceptual experiences
Gestalt Principles
describe how we group visual elements into objects and patterns. Descriptive—they explain what tends to happen during perceptual organisation, but not the underlying cognitive or neural mechanisms. The visual system organises sensory input into coherent, meaningful wholes
Principle of Prägnanz (“Good Form”/ simplicity)
The visual system tends to organise sensory input into percepts that are simple, stable, regular, symmetrical and orderly
Figure ground segregation
where are the boundaries of objects
Proximity
objects near each other form a group
Similarity
Similar visual elements form a group
Continuity
Elements along a path are perceived as related
Law of closure
Objects are perceived as a whole even if they are not complete
Limitations of Gestalt Principles
Descriptive rather than explanatory
Limited account of top-down influences
Limited account of individual differences, experiences and expertise
When multiple Gestalt principles apply, it is unclear which principle will dominate or how the visual system resolves competing interpretations
Expectations from regularities in the world
Light comes from above - shadow underneath: perceive indentation. shadow above: perceive bump. Checkerboard illusion: A darker than B but they’re the same (shadow→amplify brightness)
Effects of context on object recognition
A. Appropriate for the context B. Inappropriate for the context but visually similar to A. C. Inappropriate for the context and visually dissimilar to A. Asked to write down what they saw; measured accuracy, good at saying A, 2nd best reporting C, worst B
Challenges for object perception: The visual system must recognise objects despite changes in:
Viewpoint – the same object looks different from different angles
Size (distance) – retinal image size changes as objects move closer or farther away
Lighting – shadows and illumination alter an object's appearance Occlusion – objects are often partially hidden by other objects
Background – objects appear in many different contexts
Within-category variation – no two examples of the same object are identical
Template matching models
Have a representation in mind of everything you see exact match or if wrong, try other templates - would take time, exhausting, assumes unlimited storage
Feature based models
Instead of matching whole objects, we extract features such as edges, corners, line orientations, etc. Only explains basic stimuliEvidence: neurosci: electrode in visual cortex of cat, can see diff activity in neurons depending on orientation . Vertical - heaps of activity, horizontal - no response
Recognition-by-components (RBC)
Once we’ve extracted basic features start processing in more complex ways. All objects are made up of 36 geons (geometric ions: basic elements make up complex objects)
Limitations of the RBC theory
Emphasises bottom-up processing, with relatively little role for topdown influences
Best suited to recognising basic object categories, but less successful at explaining fine-grained within-category discrimination
Assumes objects can be decomposed into a small set of invariant geons, but many objects are highly complex and variable
Does not fully explain the effects of expertise, where experience improves recognition of highly similar objects
Hierarchical visual processing
Feedforward processing: Information flows from lower to higher levels Each stage extracts increasingly complex information
Recurrent processing: Higher cognitive areas send information back to earlier visual areas