PSYC 351A (Chapter 2B)

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24 Terms

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CogLab: Signal Detection:

[ How do we detect stimuli in our environment? ]

Task: Detect Target (10 dots in a diagonal row) among Noise (star field) 

  • Two Choice Decision: Target Present or Absent 

  • Independent Variable: Amount of noise (144,400 or 1,000 dots) 

(presence (50%) or absence (50%) of target) 

  • Dependent Variable: response of “present” or “absent”

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Hit Rate :

Hits / Hits + Misses

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False Alarm Rate:

False Alarms / False Alarms + Correct Rejections

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Sensitivity: (0= no discrimination, larger value = better discrimination) 

  • Ability to discriminate signal from noise 

  • Depends on stimulus, sensory system, attention, etc….

[d’ = Z(hit rate) - Z(false alarm rate) ]

<ul><li><p><span style="background-color: transparent; font-family: &quot;Times New Roman&quot;, serif;">Ability to discriminate signal from noise&nbsp;</span></p></li><li><p><span style="background-color: transparent; font-family: &quot;Times New Roman&quot;, serif;">Depends on stimulus, sensory system, attention, etc….</span></p></li></ul><p><span style="background-color: transparent; font-family: &quot;Times New Roman&quot;, serif;">[<em>d’ </em>= Z(hit rate) - Z(false alarm rate) ]</span></p>
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Bias: (<0=bias for “present”, 0=no bias, >0 = bias for “absent”) 

  • Tendency to provide one answer over the other 

  • A feature of decision making, can depend on relative cost of misses versus false alarms

[C = Z(hit rate) + Z(false alarm rate) / 2]

<ul><li><p><span style="background-color: transparent; font-family: &quot;Times New Roman&quot;, serif;">Tendency to provide one answer over the other&nbsp;</span></p></li><li><p><span style="background-color: transparent; font-family: &quot;Times New Roman&quot;, serif;">A feature of decision making, can depend on relative cost of misses versus false alarms</span></p></li></ul><p><span style="background-color: transparent; font-family: &quot;Times New Roman&quot;, serif;">[<em>C = </em>Z(hit rate) + Z(false alarm rate) / 2]</span></p>
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Direct Perception Theories : Bottom-up processing

  • Perception comes from stimuli in the environment 

  • Parts are identified and put together, and then recognition occurs

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Constructive Perception Theories: Top-Down processing 

  • People actively construct perceptions using information based on expectations 

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Bottom-Up Processing: Recognition by-components theory (RBC) - Irving Biederman (1987) 

  • We perceive objects by perceiving elementary features 

  • Geons: three-dimentional volumes 

  • Objects are recognized when enough information is available to identify objects geons 

[ Parts are identified and put together, and then recognition occurs ]

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Geons: Three-dimentional volumes 

  • Discriminability: geons can be distinguished from other geons from almost all viewpoints 

  • Resistance to Visual noise: geons can be perceived in “noisy” conditions 

  • Invariance: recognizable no matter the illumination direction, surface markings, and texture

  • Distinctiveness: 36 different geons have been identified 

[ objects are recognized by identifying geons and their relationships ]

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Geons & RBC:

 we can recognize objects from a subset of geons 

  • Airplane composed of 9 geons

[ Recognized correctly: 96% of the time from 6 geons // 78% of the time from 3 geons ]

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Principal of Componential Recovery:

 The key to object recognition is not the amount of information, but the ability to identify its components (geons)

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Top-Down Processing: Perception Involves: 

  • Inferences based on context (surrounding elements of the visual scene) 

  • Guessing from experience (knowledge and expectations based on the past)

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Perceiving Size: bottom-up processing 

the size of the image on the retina

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Perceiving Size: top-down processing 

the perceived distance of the object // the size of the object relative to other objects in the environment

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Job of Perception:

Infer the distal stimulus given only the proximal stimulus

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Helmholtz’s Theory of Unconscious Inference (~1860) : Top-Down Theory 

  • Our perceptions result from unconscious assumptions we make about the environment (we use knowledge to inform our perceptions) 

  • We infer much of what we know about the world

Likelihood Principle….

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Likelihood Principle:

 we perceive the world in the way that is “most likely” based on our past experiences

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Gestalt Laws: Gestalt Psychology (~1900) 

  • The mind groups patterns according to laws of perceptual organization 

  • These “laws” are actually heuristics based on what usually happens in the environment 

[ Heuristic = “rule of thumb” ]

  • Provides best-guess solution to a problem 

  • Fast

  • Often correct 

“The whole is greater than the sum of its parts”

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Gestalt: Law of Good continuation:

 lines tend to be seen as following the smoothest path

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Gestalt: Laws of good figure

(simplicity or pragnanz) : every stimulus is seen so the resulting structure is as simple as possible

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Gestalt: Law of similarity:

similar things appear grouped together

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Gestalt: Law of Proximity:

nearby objects appear grouped together

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Gestalt: Law of Closure:

separate elements will tend to be grouped to form closed figures

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Gestalt: Law of familiarity:

things are more likely to form groups if the groups appear familiar or meaningful