PerceptionAttention, 1 Flashcards
(15 cards)
Information Processing Model (Atkinson and Shiffrin)
Stimuli –> Sensory Storage –> Short Term Memory <—-> Long term Memory
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Action
Modularity Of Mind (Fodor)
- Mind is composed of functionally independent modules, each responsible for its own task
- Operate independently
- Criticism: Dissociation of functions is not always clear
Theories of Object Recognition, 2D
- Template Matching Theory
- Compare stimuli to template until match is found
- Criticism: Inflexible, only works for isolated letters,numbers,objects,etc - Feature - Analysis Detection Theory
- Based on distinctive features
- If two objects share many similar features, the time it takes to decide is long
- Criticism: Doesn’t account for relation of features, or recognition of more complex features
eg) PANDEMONIUM MODEL
-> Model of pattern recognition
- Demons : specilaised units repsonsible for detecting specific features in stimuli
- Pandemonium: Assembly of all demons in system, each demon influence recognition process
Stimuli –> 1. Image Demon 2. Feature Demons 3. Cognitive Demons 4. Decision Demon
- Bottom Up Model (Allow stimuli to shape perception, without pre ideas)
Theories of Object Recognition, 3D
- Recognition by components
- Theory regarding geons (simple 3d geometric objects)
a) Invariance:
- Geons can be recognised from different perspectives
b) Discriminability:
- Geons are distinguishable when compared, can be identified quickly and correctly
c) Resistance to noise:
- Geons can be recognised even when obscured
Top down effects in letter recognition
- Letter identity is context dependent
- Degraded letter correlation (when letters aren’t given fully, missing parts)
- Strong when stimuli is incomplete or ambiguous, or only registered in short times.
Computational Approach to vision
First stage(Raw Primal Sketch): Detection of basic features
Second stage(2 1/2D Sketch): Detected features are grouped together to form coherent structures. Includes relational features.
Third stage(3D sketch): Grouped features processed to generate 3D representation
Feature Integration Theory (Visual Perception)
Distributed attention: Features are identified automatically, and in parallel
Focused attention: Effortful detection of features, slow processing
Illusory Conjunctions: When features of different objects are incorrectly combined in our perception
Face perception
Face perception differs from object perception, primarily due to its holistic and gestalt nature. (Perception as whole, not individual components)
- Neuroscientific Evidence:
- Prosopagnosia (Face Blindness):
- inability to recognize faces, even those of close friends or family members.
- Visual Agnosia (Object Blindness):
- difficulty recognizing and identifying objects despite intact visual perception.
- Prosopagnosia (Face Blindness):
Research indicates that the upper part of the face, particularly the eyes and eyebrows, is critical for facial recognition.
Controlled VS Automatic Processes
Controlled:
- Require intentional effort, fully consciously aware, consume resources, relatively slow
Automatic:
- Little or no attention of effort, subconscious, preformed by parallel processing, fast
Stroop Task/Effect
Psychological difficulty in selectively attending to the color of the ink while ignoring the word that is printed with that ink color.
Reading is an automatic process that cannot be easily suppressed.
OR
Conflict between two automatic processes
Selective VS Divided Attention
Selective:
- Respond to certain kinds of information, whilst ignoring others
eg) Cocktail Party Problem (the attentional filter)
Divided:
- Split attention between different sources
Filter Theory (Broadbent) - Attention Theories
Input (Attended and Unattended message) -> Sensory Store -> Selective Filter (based on physical properties, such as pitch or loudness, blocks unattended message)-> Higher level processing -> Working Memory
Attenuation Model - Attention Theories
Input (Attended and Unattended message) -> Sensory Store -> Attenuating Filter(Outputs Attended message, and attenuated message)-> Bottleneck -> Hierachy of Analysers -> Working Memory
Late Selection Model - Attention Theories
Attentional filters based on physical features, but for the rest, all
information is passed towards working memory and passed to a semantic
filter
Problem: it suggests almost all information is processed deeply by the
brain
Attentional-Resource Theories
attention as a limited resource allocated among cognitive tasks.