Description
CHAPTER 8 – Everyday Memory and Memory Errors
The Constructive Nature of Memory
• Memory = what actually happens + person’s knowledge, experiences, and expectations
• Bartlett’s “war of the ghosts” experiment
• Had participants attempt to remember a story from a different culture • Repeated reproduction
• Results
• Over time, reproduction became shorter, contained omissions and inaccuracies
• Changed to make the story more consistent with their own culture Source Monitoring
• Source memory: process of determining origins of our memories • Source monitoring error: misidentifying source of memory – Also called “source misattributions”
• Cryptomnesia: unconscious plagiarism of another’s work due to a lack of recognition of its original source
• Jacoby and coworkers (1989)
• After 24 hours, some non-famous names were misidentified as famous
• Explanation: some non-famous names were familiar, and the participants misattributed the source of the familiarity
– Failed to identify the source as the list that had been read the previous day If you want to learn more check out What is the himalayas today?
The Illusory Truth Effect
• Enhanced probability of evaluating a statement is true after repeated presentation
• Occurs due to fluency or familiarity with the information
• Related to the propaganda effect
– Both result from stimulus repetition
Making Inference
• Memory can be influenced by inferences that people make based on their experiences and knowledge
• Pragmatic inferences: based on knowledge gained through experience
– Memory often includes information that is implied by or is consistent with the to be remembered information but was not explicitly stated
Schemas and Scripts
• Schema: knowledge about some aspect of the environment – e.g., Post office, ball game, classroom
• Script: conception of sequence of actions that usually occurs during a particular experience Don't forget about the age old question of Are marginal cost and marginal revenue, are the same?
We also discuss several other topics like Who is bill clinton?
– Going to a restaurant; playing tennis
– A type of schema
• Schemas and scripts influence memory
– Memory can include information not actually experienced but inferred because it is expected and consistent with the schema
– Office waiting room: books not present but mentioned in memory task
– The constructive nature of memory can lead to errors or “false memories”
Construction of Memories
• Advantages
– Allows us to “fill in the blanks” Don't forget about the age old question of What is the type of virus that causes cancer?
– Cognition is creative
• Understand language
• Solve problems
• Make decisions
• Disadvantages
– Sometimes we make errors
– Sometimes we misattribute the source of information
– Was it actually presented or did we infer it?
Power of Suggestion
• The misinformation effect: misleading information presented after someone witnesses an event can change how that person later describes the event
– Misleading postevent information (MPI)
• Loftus and coworkers (1975)
– See slides of traffic accident with stop sign
– Introduce MPI: yield sign
– Participants remember what they heard (yield sign) and not what they saw (stop sign)
• Loftus and Palmer (1974)
– Hear “smashed” or “hit” in description of car accident
– Those hearing “smashed” said the cars were going much faster than those who heard “hit”
CHAPTER 9 – CONCEPTUAL KNOWLEDGE
• Why is it difficult to decide if a particular object belongs to a particular category, such as “chair,” by looking up its definition?
• How are the properties of various objects “filed away” in the mind? • How is information about different categories stored in the brain? • Can young infants respond to the categories “cat” and “dog”?
Knowledge Don't forget about the age old question of Are price ceiling and price floor are the same?
• Conceptual knowledge: enables us to recognize objects and events and to make inferences about their properties
• Concept: mental representation used for a variety of cognitive functions
• Categorization is the process by which things are placed into groups called categories
• Categories are all possible examples of a particular concept
Why Categories are Useful
• Help to understand individual cases not previously encountered • “Pointers to knowledge”
• Categories provide a wealth of general information about an item • Allow us to identify the special characteristics of a particular item
Caption: Knowing that something is in a category provides a great deal of information about it.
Definitional Approach to Categorization
• Determine category membership based on whether the object meets the definition of the category
• Does not work well
• Not all members of everyday categories have the same defining features
Caption: Different objects, all possible “chairs.”
Family resemblance We also discuss several other topics like How is resilience defined?
• Things in a category resemble one another in a number of ways The Prototype Approach
• Prototype = “typical”
• An abstract representation of the “typical” member of a category • Characteristic features that describe what members of that concept are like • An average of category members encountered in the past
• Contains the most salient features
• True of most instances of that category
Figure 9.3 Three real birds—a sparrow, a robin, and a blue jay—and a “prototype” bird that is the average representation of the category “birds.”
Caption: Results of Rosch’s (1975a) experiment, in which participants judged objects on a scale of 1 (good example of a category) to 7 (poor example): (a) ratings for birds; (b) ratings for furniture
• High prototypicality: a category member closely resembles the category prototype
• “Typical” member
• For category “bird” = robin
• Low prototypicality: a category member does not closely resemble the category prototype
• For category “bird” = penguin
• Strong positive relationship between prototypicality and family resemblance
• When items have a large amount of overlap with characteristics of other items in the category, the family resemblance of these items is high
• Low overlap = low family resemblance
• Typicality effect: prototypical objects are processed preferentially • Highly prototypical objects judged more rapidly
• Sentence verification technique
Caption: Results of E.E. Smith et
al.’s (1974) sentence verification
experiment. Reaction times were
faster for objects rated higher in
prototypicality
• Prototypical category
members are more affected by a priming stimulus
• Rosch (1975b)
• Hearing “green” primes a highly prototypical “green”
Prototype Approach: Rosch’s Priming
Caption: Procedure for Rosch’s (1975b) priming experiment. Results for the conditions when the test colors were the same are shown on the right. (a) The person’s “green” prototype matches the good green, but (b) is a poor match for the light green.
The Exemplar Approach
• Concept is represented by multiple examples
(rather than a single prototype)
• Examples are actual category members
(not abstract averages)
• To categorize, compare the new item to stored examples
• Explains typicality effect
• Easily takes into account atypical cases
• Easily deals with variable categories
Prototypes or Exemplars?
• May use both
• Exemplars may work best for small categories
• Prototypes may work best for larger categories
Hierarchical Organization
• To fully understand how people categorize objects, one must consider – Properties of objects
– Learning and experience of perceivers
Caption: Levels of categories for (a) furniture and (b) vehicles. Rosch provided evidence for the idea that the basic level is “psychologically privileged.”
Caption: Left column: category levels; middle column: examples of each level for furniture; right column: average number of common features, listed from Rosch, Mervis et al.’s (1976) experiment.
Evidence that Basic Level is Special
• People almost exclusively use basic-level names in free-naming tasks • Quicker to identify basic-level category member as a member of a category • Children learn basic-level concepts sooner than other levels
• Basic-level is much more common in adult discourse than names for superordinate categories
• Different cultures tend to use the same basic-level categories, at least for living things
Caption: Results of Tanaka and Taylor’s (1991)
“expert” experiment. Experts (left pair of bars)
used more specific categories to name birds,
whereas nonexperts (right pair of bars) used
more basic categories.
Semantic Networks
• Concepts are arranged in networks that represent the way concepts are organized in the mind
• Collins and Quillian (1969)
• Node = category/concept
• Concepts are linked
• Model for how concepts and properties are associated in the mind
Caption: Collins and Quillian’s (1969) semantic network. Specific concepts are indicated in blue. Properties of concepts are indicated at the nodes for each concept. Additional properties of a concept can be determined by moving up the network, along the lines connecting the concepts. For example, moving from “canary” up to “bird” indicates that canaries have feathers and wings and can fly.
• Cognitive economy: shared properties are only stored at higher-level nodes • Exceptions are stored at lower nodes
• Inheritance
• Lower-level items share properties of higher level items
Caption: The distance between concepts predicts how long it takes to retrieve information about concepts as measured by the sentence verification technique. Because it is necessary to travel on two links to get from canary to animal (left), but on only one to get from canary to bird (right) it should take longer to verify the statement “a canary is an animal.”
Semantic Networks
• Spreading activation
• Activation is the arousal level of a node
• When a node is activated, activity spreads out along all connected links
• Concepts that receive activation are primed and more easily accessed from memory
Figure 9.14 How activation can spread through a network as a person searches from “robin” to “bird” (blue arrow). The dashed lines indicate activation that is spreading from the activated bird node. Circled concepts, which have become primed, are easier to retrieve from memory because of the spreading activation.
• Lexical decision task
• Participants read stimuli and are asked to say as quickly as possible whether the item is a word or not
• Myer and Schvaneveldt (1971)
• Yes” if both strings are words; “no” if not
• Some pairs were closely associated
• Reaction time was faster for those pairs
• Spreading activation
• Criticism of Collins and Quillian
• Cannot explain typicality effects
• Cognitive economy?
• Some sentence-verification results are problematic for the model
• Collins and Loftus (1975) modifications
• Shorter links to connect closely related concepts
• Longer linkers for less closely related concepts
• No hierarchical structure; based on person’s experience
Caption: Semantic network
proposed by Collins and Loftus
(1975). (Reprinted from A.M.
Collins & E.F. Loftus, “A
Spreading-Activation Theory of
Semantic Processing.” From
Psychological Review, 82, pp.
407-428, Fig. 1. Copyright ©
1975 with permission from the American Psychological Association.
Assessment of Semantic Networks
• Is predictive and explanatory of some results, but not all
• Generated multiple experiments
• Lack of falsifiability
• No rules for determining link length or how long activation will spread • Therefore, there is no experiment that would “prove it wrong” • Circular reasoning
How are Concepts Represented in the Brain?
• Four Proposals:
• Sensory-Functional Hypothesis
• Multiple-Factor Approach
• Semantic Category Approach
• Embodied Approach
Sensory-Functional Hypothesis
• Different brain areas may be specialized to process information about different categories
– Double dissociation for categories “living things” and “nonliving things” (artifacts)
– Category-specific memory impairment
• Sensory-functional hypothesis:
– living things → sensory properties
– artifacts → functions
• Figure 9.21 Performance on a
naming task for patients K.C.
and E.W., both of whom had
category-specific memory
impairment. They were able to
correctly name pictures of
nonliving things (such as car
and table) and fruits and
vegetables (such as tomato
and pear) but performed poorly
when asked to name pictures of
animals.
The Semantic Category Approach
• Specific neural circuits for specific categories
• Figure 9.24 Results of the Huth et al. (2016) experiment in which participants listened to stories in a scanner. (a) Words that activated different places on the cortex. (b) Close-up of a smaller area of cortex. Note that a particular area usually responded to a number of different words, as indicated in Figure 9.25.
Multiple Factor Approach
• Distributed representation: how concepts are divided within a category – Animals → motion and color
– Artifacts → actions (using, interacting)
• Crowding: when different concepts within a category share many properties
– For example, “animals” all share “eyes,” “legs,” and “the ability to move”
The Embodied Approach
• Knowledge of concepts is based on reactivation of sensory and motor processes that occur when we interact with the object.
• Mirror neurons: fire when we do a task or we observe another doing that same task
• Semantic somatotopy: correspondence between words related to specific body parts and the location of brain activation
Figure 9.26 Hauk et al. (2004) results. Colored areas indicate the areas of the brain activated by (a) foot, finger, and tongue movements; (b) leg, arm, and face words.
CHAPTER 10 – Visual Imagery
Some Questions to Consider
• How do “pictures in your head” created by imagining an object compare to the experience you have when you see the actual object?
• How does damage to the brain affect the ability to form visual images? • How can we use visual imagery to improve memory?
• How do people differ in their ability to create visual images? What is Imagery
• Visual imagery: “seeing” in the absence of a visual stimulus
• Provides a way of thinking that adds another dimension to
purely verbal techniques
• Mental imagery: experiencing a sensory impression in the absence of sensory input
Early Ideas About Imagery
• Imageless thought debate
• Is thinking possible without images?
Imagery and the Cognitive Revolution
• Developed ways to measure behavior that could be used to infer cognitive processes
• Paired-associate learning
• Paivio (1963, 1965)
• Memory for words that evoke mental images is better than for those that do not
• Conceptual peg hypothesis
• Shepard and Metzler (1971)
• Mental chronometry
• Participants mentally rotated one object to see if it matched
another object
Figure 10.1 Stimuli for Shepard and Metzler’s
(1971) mental rotation experiment.
Imagery and Perception
• Spatial correspondence between imagery and perception
• Mental scanning
• Participants create mental images and then scan them in their minds
• Kosslyn (1973)
• Memorize picture and create an image of it
• In image, move from one part of the picture to the other
• It took longer for participants to mentally move long
distances than shorter distances.
• Like perception, imagery is spatial.
• Figure 10.2 Stimulus for Kosslyn’s (1973) image-scanning
experiment.
• Lea (1975)
• More distractions when scanning longer distances may have increased the reaction time.
• Interesting things encountered during the mental scan are
responsible for these distractions.
• Kosslyn and coworkers (1978)
• Island with seven locations, 21 trips
• It took longer to scan between greater distances.
• Visual imagery is spatial.
Figure 10.4 (a) Island used in Kosslyn et al.’s (1978) image-scanning experiment. Participants mentally traveled between various locations on the island. (b) Results of the island experiment.
Is Imagery Spatial or Propositional?
• Pylyshyn (1973)
• Spatial representation is an epiphenomenon.
Accompanies real mechanism but is not actually a part of it
• Proposed that imagery is propositional.
Can be represented by abstract symbols
• Imagery debate
Propositional representation: symbols, language
Depictive representation: similar to realistic pictures
Figure 10.5 Propositional and spatial, or depictive, representations of “The cat is under the table.”
Comparing Imagery and Perception
• Relationship between viewing distance and ability to perceive details • Imagine small object next to large object
• Quicker to detect details on the larger object
Figure 10.7 Moving closer to an object, such as this car, has two effects: (1) The object fills more of your visual field, and (2) details are easier to see.
• Mental walk task
• Move closer to small animals than to large animals
• Images are spatial, like perception
Figure 10.8 These pictures represent images that Kosslyn’s (1978) participants created, which filled different portions of their visual field. (a) Imagine elephant and rabbit, so elephant fills the field. (b) Imagine rabbit and fly, so rabbit fills the field. Reaction times indicate how long it took participants to answer questions about the rabbit.
Interactions of Imagery and Perception
• Perky (1910)
• Mistake actual picture for a mental image
Figure 10.9 Participant in Perky’s (1910) experiment. Unbeknownst to the participants, Perky was projecting dim images onto the screen.
Figure 10.10 Procedure for Farah’s (1985) letter visualization experiment. (a) The participant visualizes H or T on the screen. (b) Then two squares flash, one after the other, on the same screen. As shown on the right, the target letter can be in the first square or in the second one. The participants’ task is to determine whether the test letter was flashed in the first square or in the second square. (c) Results showing that accuracy was higher when the letter in (b) was the same as the one that had been imagined in (a).
Imagery and the Brain
Imagery neurons respond to both perceiving and imagining an object • Overlap in brain activation
• Visual cortex
Figure 10.11 Responses of single neurons in a person’s medial temporal lobe that (a) respond to perception of a baseball but not of a face, and (b) respond to imagining a baseball but not to imagining a face
Le Bihan and coworkers (1993)
• Overlap in brain activation
• Visual cortex
Figure 10.12 Results of Le Bihan et al.’s (1993) study measuring brain activity using fMRI. Activity increases to presentation of a visual stimulus (shaded area marked “Stimulus on”) and also increases when participants are imagining the
stimulus (area marked “Imagined stimulus”). In contrast, activity is low when there is no actual or imagined stimulus.
Ganis and coworkers (2004)
• Complete overlap of activation by perception and imagery in front of the brain
• Differences near back of the brain
Figure 10.14 Procedure for Ganis et al.’s (2004) experiment. A trial begins with the name of an object that was previously studied, in this case “tree.” In the imagery condition, participants had their eyes closed and had to imagine the tree. In the perception condition, participants saw a faint picture of the object. Participants then heard instructions. The W in this example means they were to judge whether the object was “wider than tall.”
Amedi and coworkers (2005)
• Again, overlap
• Deactivation of nonvisual areas of brain
Hearing
Touch
• Mental images more fragile, less activation keeps other things from interfering
Brain activity in response to imagery
• May indicate something is happening
• May not cause imagery
Transcranial magnetic stimulation (TMS)
• Decreases brain functioning in a particular area of the brain for a short time
• If behavior is disrupted, the deactivated part of the brain is causing that behavior
Kosslyn and coworkers (1999)
• TMS to visual area of brain during perception and imagery task • Response time slower for both
• Brain activity in visual area of brain plays a causal role for both perception and imagery
Figure 10.18 Results of the mental walk task for patient M.G.S. Left: Before her operation, she could mentally “walk” to within 15 feet before the image of the horse overflowed her visual field. Right: After removal of the right occipital lobe, the size of the visual field was reduced, and she could mentally approach only to within 35 feet of the horse before it overflowed her visual field.
Neuropsychological Case Studies
Unilateral neglect
• Patient ignores objects in one half of visual field in perception and imagery
Dissociations Between Imagery and Perception
Guariglia and coworkers (1993)
• Brain-damaged patient
• Patient’s perceptions intact, but mental images were impaired R.M.
• Damage to occipital and parietal lobes
• Could draw accurate pictures of objects in front of him
• Could not draw accurate pictures of objects from memory (using imagery)
C.K.
• Inability to name pictures of objects, even his own drawings, in front of him
• Could draw objects in great detail from memory (using imagery)
Making Sense of Neuropsychological Results
Evidence for a double dissociation between imagery and perception • Indicates separate mechanisms
Also evidence for shared mechanisms
Imagery and Perception
Differences in experience
• Perception is automatic and stable
• Imagery takes effort and is fragile
Chalmers and Reisberg (1985)
• Had participants create mental images of ambiguous figures
• Difficult to flip from one perception to another while holding a mental image of it
Figure 10.21 What is this, a rabbit (facing right) or a duck (facing left)? Using Imagery to Improve Memory
Placing images at locations
Method of loci
• Visualizing items to be remembered in different locations in a mental image of a spatial layout
Associating images with words
Pegword technique
• Associate items to be remembered with concrete words
• Pair each of these things with a pegword
• Create a vivid image of things to be remembered with the object represented by the word
CHAPTER 11 LANGUAGAGE
• How do we understand individual words, and how are words combined to create sentences?
• How can we understand sentences that have more than one meaning? • How do we understand stories?
• Does language affect the way a person perceives colors?
What Is Language?
• System of communication using sounds or symbols
• Express feelings, thoughts, ideas, and experiences
The Creativity of Human Language
• Hierarchical system
• Components that can be combined to form larger units
• Governed by rules
• Specific ways components can be arranged
The Universality of Language
• Deaf children invent sign language
• All cultures have a language
• Language development is similar across cultures
• Languages are “unique but the same”
• Different words, sounds, and rules
• All have nouns, verbs, negatives, questions, past/present tense Studying Language in Cognitive Psychology
• B.F. Skinner (1957) Verbal Behavior
• Language learned through reinforcement
• Noam Chomsky (1957) Syntactic Structures
• Human language coded in the genes
• Underlying basis of all language is similar
• Children produce sentences they have never heard and that have never been reinforced
• Psycholinguistics: discover psychological process by which humans acquire and process language
• Comprehension
• Speech production
• Representation
• Acquisition
Perceiving and Understanding Words
• Lexicon: all words a person understands
• Phoneme: shortest segment of speech that, if changed, changes the meaning of the word
• Morphemes: smallest unit of language that has meaning or grammatical function
Lexical semantics: the meaning of words
– Each word has one or more meanings
• Phonemic restoration effect
– “Fill in” missing phonemes based on context of sentence and portion of word presented
• Word frequency effect
– We respond faster to high-frequency words
– Rayner and Duffy (1986) fixation and gaze times
– Eye movements while reading
– Look at low-frequency words longer
• Variable word pronunciation
– “Didjoo?” “Gonna”
– Use context to understand words with unfamiliar pronunciations • Speech segmentation
– Perception of individual words even though there are no silences between spoken words
– Context
– Understanding of meaning
– Understanding of sound and syntactic rules
– Statistical learning
• Lexical ambiguity
– Words have more than one meaning
– Context clears up ambiguity after all meanings of a word have been briefly accessed
• Meaning dominance—some words are used more frequently than others
– Biased dominance
– When words have two or more meanings with different
dominance
– Balanced dominance
– When words have two or more meanings with about the same dominance
Meaning Dominance
Figure 11.3 Accessing the meaning of ambiguous words while reading a sentence is determined by the word’s dominance and the context created by the sentence. If there is no prior context: (a) competition between equally likely meanings of a word
with balanced dominance results in slow access; (b) activation of only the most frequent meaning of a word with biased dominance results in fast access. If there is context before a word with biased dominance: (c) activation of both the less frequent and most frequent meanings results in slow access; (d) activation of only the most frequent meaning results in fast access. See text for examples.
Understanding Sentences
• Semantics: meanings of words and sentences
• Syntax: rules for combining words into sentences
• Event-related potential and brain imaging studies have shown syntax and semantics are associated with different mechanisms
• Parsing: mental grouping of words in a sentence into phrases • Helps the listener create meaning
• Figure 11.4 Parsing is the process that occurs when a person hears or reads a string of words (Words in) and groups these words into phrases in their mind (Parsed sentence in mind). The way the words are grouped in this example indicates that the person has interpreted the sentence to mean that the musician played the piano and then left the stage.
• Syntactic ambiguity: more than one possible structure, more than one meaning
• Garden path sentences
• Sentences that begin by appearing to mean one thing, but then end up meaning something else
• Temporary ambiguity
• When the initial words are ambiguous, but the meaning is made clear by the end of the sentence
• Syntax-first approach to parsing
• Listeners use heuristics (rules) to group words into phrases
• Grammatical structure of sentence determines parsing
• Late closure: parser assumes new word is part of the current phrase • A.k.a. the Garden-path model
• Interactionist (constraint-based) approach to parsing
• Semantics influence processing as one reads a sentence, along with syntax
• Word meaning
• Story context
• Memory load
• Subject-relative and object-relative sentence construction
• Tannenhaus and coworkers (1995)
• Visual world paradigm, the context of a scene
• Eye movements change when information suggests revision of interpretation of sentence is necessary
• Syntactic and semantic information used simultaneously
• Understanding Sentences: Story Context
Figure 11.6 (a) One-apple scene similar to the one viewed by Tanenhaus et al.’s (1995) participants. (b) Eye movements made while comprehending the task. (c) Proportion of trials in which eye movements were made to the towel on the right for the ambiguous sentence. (Place the apple on the towel in the box) and the unambiguous sentence (Place the apple that’s on the towel in the box).
Figure 11.7 (a) Two-apple scene similar to the one viewed by Tanenhaus et al.’s (1995) subjects. (b) Eye movements while comprehending the task. (c) Proportion of trials in which eye movements were made to the towel on the right for the ambiguous sentence (Place the apple on the towel in the box) and the unambiguous sentence (Place the apple that’s on the towel in the box).
Understanding Text and Stories
• Coherence: representation of the text in one’s mind so that information from one part of the text can be related to information in another part of the text
• Between parts of text
• Also, between local parts of text and the overall topic of the story
• Inference: readers create information during reading not explicitly stated in the text
• Anaphoric: connecting objects/people
• Instrumental: tools or methods
• Causal: events in one clause caused by events in previous sentence • Situation model: mental representation of what a text is about • Represent events as if experiencing the situation
• Point of view of protagonist
• Figure 11.9 Stimuli similar to those used in (a) Stanfield and Zwaan’s (2001) “orientation” experiment and (b) Zwaan et al.’s (2002) “shape” experiment. Subjects heard sentences and were then asked to indicate whether the picture was the object mentioned in the sentence
Figure 11.10 Results of Stanfield
and Zwaan’s (2001) and Zwaan et
al.’s (2002) experiments. Subjects
responded “yes” more rapidly for the
orientation, in (a), and the shape, in
(b), that was more consistent with the
sentence.
• Physiology of simulations
• Approximately the same
areas of the cortex are
activated by actual
movements and by
reading related action
words
• The activation is more
extensive for actual
movements
Situation Models and Brain Activation
Hauk et al. (2004) results. Colored areas indicate the areas of the brain activated by (a) foot, finger, and tongue movements; (b) leg, arm, and face words.
Producing Language: Conversation
• Two or more people talking together
• Dynamic and rapid
• Semantic coordination
• Conversations go more smoothly if participants have shared knowledge Producing Speech: Conversations
• Given-new contract: speaker constructs sentences so they include • Given information
• New information
• New can then become given information
• Common ground
• Entrainment: synchronization between conversation partners • Syntactic coordination
• Using similar grammatical constructions
• Syntactic priming
• Production of a specific grammatical construction by one person increases chances other person will use that construction
• Reduces computational load in conversation
The Branigan et al. (2000) experiment. (a) The subject (right) picks, from the cards laid out on the table, a card with a picture that matches the statement read by the confederate (left). (b) The participant then takes a card from the pile of response cards and describes the picture on the response card to the confederate. This is the key part of the experiment, because the question is whether the participant on the right will match the syntactic construction used by the confederate on the left.
• Other skills are necessary for people to engage in effective conversations.
• Theory of mind: being able to understand what others feel, think, or believe
• Nonverbal communication: being able to interpret and react to the person’s gestures, facial expressions, tones of voice, and other cues to meaning
Culture, Language, & Cognition
• Sapir-Whorf hypothesis: language influences thought
• Roberson and coworkers (2000)
• Two cultures had differences in how participants assigned names to color chips
• Categorical perception
• Stimuli in same categories are more difficult to discriminate from one another than stimuli in two different categories
• Differences in the way names were assigned to colors affect the ability to tell the difference between colors
• Language can affect color perception
• Limits to the effects of language
• Regier and coworkers (2005)
• Different languages have similar choice for “best” color
examples
Super Summarized Study Guide Exam 3
CHAPER 8- EVERYDAY MEMORY AND MEMORY ERRORS
The Constructive Nature of Memory
Definition of Memory
Bartlett’s “war of the ghosts” experiment Source Monitoring
Source Memory
Source Monitoring Error
Cryptomnesia
Jacoby and Coworkers
o Famous – nonfamous test
The Illusory Truth Effect
Making inference
o Pragmatic Inferences
Schemas and Scripts
Schema
Script
How they influence memory
Construction on Memories
Advantages
Disadvantages
Power of Suggestion
The Missinformation Effect
o Misleading Postevent Information (MPI) Loftus and Coworkers
Loftus and Palmer
CHAPTER 9 – CONCEPTUAL KNOWLEDGE
Knowledge
Conceptual Knowledge
Concept
Categorization
Why Categories are Useful
Pointers to Knowledge
Definitional Approach to Categorization
Family Resemblance
The Prototype Approach
High Prototypicality
Low Prototypicality
Typicality Effect
Rosch’s Priming
The Exemplar Approach
Prototype vs Exemplar
Hierarchical Organization
Evidence that Basic Level is Special Semantic Networks
Collins and Quillian (1969)
Cognitive Economy
Inheritance
Spreading Activation
Lexical decision task
Myer and Schvaneveldt
Criticism of Collins and Qullian
Collins and Loftus modifications
Assessment of Semantic Networks How are Concepts Represented in the Brain Sensory-Functional Approach
The Semantic Category Approach
Multiple Factor Approach
Distributed Representation
Crowding
The Embodied Approach
Mirror Neurons
Semantic Somatotopy
CHAPTER 10 VISUAL IMAGERY
What Is Imagery
Visual Imagery
Mental Imagery
Early Ideas About Imagery
Images Thought Debate
Imagery and the Cognitive Revolution
Developed ways to measure behavior that could be used to infer cognitive processes
Paivio
Shepard and Metzler
Imagery and Perception
Spatial Correspondence between imagery and perception Kosslyn (1973)
Lea (1975)
Kosslyn and Coworkers (1978)
Is Imagery Spatial or Propositional
Pylyshyn
Spatial representation is an epiphenomenon
Proposed that imagery is propositional
Imagery debate
Comparing Imagery and Perception
Relationship between viewing distance and ability to perceive details
Mental Walk Task
Interactions of Imagery and Perception
Perky (1910)
Mistake actual picture for a mental image
Imagery and the BraiUn
Imagery Neurons Respond to both Perceiving and Imagining an Object
Le Bihan and Coworkers (1993)
Ganis and Coworksers (2004)
Amedi and Coworkers (2005)
Brain Activity in Response to Imagery
Transcranial Magnetic Simulation (TMS)
Kosslyn and Coworkers (1999)
Neuropsychological Case Studies
Unilateral Neglet
Dissociations Between Imagery and Perception
Guariglia and Coworkers
R.M.
C.K.
Making Sense of Neuropsychological Results
Evidence for Double Dissociation between imagery and perception and shared Mechanisms
Imagery and Perception
Differences In Experience
Chalmers and Reisberg (1985)
Using Imagery to Improve Memory
Placing Images at Locations
Method of Loci
Associating Images with Words
Pegword Technique
CHAPTER 11 – LANGUAGE
What is Language?
The Creativity of Human Language
Hierarchical System
Governed by Rules
The Universality of Language
Studying Language in Cognitive Psychology
B.F. Skinner (1975) Verbal Behavior
Noam Chomsky (1957) Syntactic Structures
Psycholinguistics
Perceiving and Understanding Words
Lexicon
Phoneme
Morphemes
Lexical Semantics
Phonemic Restoration Effect
Word Frequency Effect
o Rayner and Duffy (1986)
Variable Word Pronunciation
Speech Segmentation
Lexical Ambiguity
Meaning Dominance
o Biased Dominance
o Balanced Dominance
Understanding Sentences
Semantics
Syntax
Parsing
Syntactic Ambiguity
Syntax-first approach to parsing
Interactionist (Constraint-based) approach to parsing Tannenhaus and Coworkers (1995)
Story Context
Understanding Text and Stories
Coherence
Inference
Situation Model
Stanfield and Zwaan’s “Orientation” experiment Situation Models and Brain Activation
o Hauk et al.
Producing Language: Converesation
Producing Speech: Conversations
o Given-new Contract
o Common ground
o Syntactic Coordination
o Syntactic Priming
o Theory of Mind
Culture, Language & Cognition
Sapir-Whorf Hypothesis: Language Influences Thought Roberson and Coworkers (2000)
Categorical Perception
Language and Color
Limits to the Effects of Language
o Regier and Coworkers (2005)
CHAPTER 8 – Everyday Memory and Memory Errors
The Constructive Nature of Memory
• Memory = what actually happens + person’s knowledge, experiences, and expectations
• Bartlett’s “war of the ghosts” experiment
• Had participants attempt to remember a story from a different culture • Repeated reproduction
• Results
• Over time, reproduction became shorter, contained omissions and inaccuracies
• Changed to make the story more consistent with their own culture Source Monitoring
• Source memory: process of determining origins of our memories • Source monitoring error: misidentifying source of memory – Also called “source misattributions”
• Cryptomnesia: unconscious plagiarism of another’s work due to a lack of recognition of its original source
• Jacoby and coworkers (1989)
• After 24 hours, some non-famous names were misidentified as famous
• Explanation: some non-famous names were familiar, and the participants misattributed the source of the familiarity
– Failed to identify the source as the list that had been read the previous day
The Illusory Truth Effect
• Enhanced probability of evaluating a statement is true after repeated presentation
• Occurs due to fluency or familiarity with the information
• Related to the propaganda effect
– Both result from stimulus repetition
Making Inference
• Memory can be influenced by inferences that people make based on their experiences and knowledge
• Pragmatic inferences: based on knowledge gained through experience
– Memory often includes information that is implied by or is consistent with the to be remembered information but was not explicitly stated
Schemas and Scripts
• Schema: knowledge about some aspect of the environment – e.g., Post office, ball game, classroom
• Script: conception of sequence of actions that usually occurs during a particular experience
– Going to a restaurant; playing tennis
– A type of schema
• Schemas and scripts influence memory
– Memory can include information not actually experienced but inferred because it is expected and consistent with the schema
– Office waiting room: books not present but mentioned in memory task
– The constructive nature of memory can lead to errors or “false memories”
Construction of Memories
• Advantages
– Allows us to “fill in the blanks”
– Cognition is creative
• Understand language
• Solve problems
• Make decisions
• Disadvantages
– Sometimes we make errors
– Sometimes we misattribute the source of information
– Was it actually presented or did we infer it?
Power of Suggestion
• The misinformation effect: misleading information presented after someone witnesses an event can change how that person later describes the event
– Misleading postevent information (MPI)
• Loftus and coworkers (1975)
– See slides of traffic accident with stop sign
– Introduce MPI: yield sign
– Participants remember what they heard (yield sign) and not what they saw (stop sign)
• Loftus and Palmer (1974)
– Hear “smashed” or “hit” in description of car accident
– Those hearing “smashed” said the cars were going much faster than those who heard “hit”
CHAPTER 9 – CONCEPTUAL KNOWLEDGE
• Why is it difficult to decide if a particular object belongs to a particular category, such as “chair,” by looking up its definition?
• How are the properties of various objects “filed away” in the mind? • How is information about different categories stored in the brain? • Can young infants respond to the categories “cat” and “dog”?
Knowledge
• Conceptual knowledge: enables us to recognize objects and events and to make inferences about their properties
• Concept: mental representation used for a variety of cognitive functions
• Categorization is the process by which things are placed into groups called categories
• Categories are all possible examples of a particular concept
Why Categories are Useful
• Help to understand individual cases not previously encountered • “Pointers to knowledge”
• Categories provide a wealth of general information about an item • Allow us to identify the special characteristics of a particular item
Caption: Knowing that something is in a category provides a great deal of information about it.
Definitional Approach to Categorization
• Determine category membership based on whether the object meets the definition of the category
• Does not work well
• Not all members of everyday categories have the same defining features
Caption: Different objects, all possible “chairs.”
Family resemblance
• Things in a category resemble one another in a number of ways The Prototype Approach
• Prototype = “typical”
• An abstract representation of the “typical” member of a category • Characteristic features that describe what members of that concept are like • An average of category members encountered in the past
• Contains the most salient features
• True of most instances of that category
Figure 9.3 Three real birds—a sparrow, a robin, and a blue jay—and a “prototype” bird that is the average representation of the category “birds.”
Caption: Results of Rosch’s (1975a) experiment, in which participants judged objects on a scale of 1 (good example of a category) to 7 (poor example): (a) ratings for birds; (b) ratings for furniture
• High prototypicality: a category member closely resembles the category prototype
• “Typical” member
• For category “bird” = robin
• Low prototypicality: a category member does not closely resemble the category prototype
• For category “bird” = penguin
• Strong positive relationship between prototypicality and family resemblance
• When items have a large amount of overlap with characteristics of other items in the category, the family resemblance of these items is high
• Low overlap = low family resemblance
• Typicality effect: prototypical objects are processed preferentially • Highly prototypical objects judged more rapidly
• Sentence verification technique
Caption: Results of E.E. Smith et
al.’s (1974) sentence verification
experiment. Reaction times were
faster for objects rated higher in
prototypicality
• Prototypical category
members are more affected by a priming stimulus
• Rosch (1975b)
• Hearing “green” primes a highly prototypical “green”
Prototype Approach: Rosch’s Priming
Caption: Procedure for Rosch’s (1975b) priming experiment. Results for the conditions when the test colors were the same are shown on the right. (a) The person’s “green” prototype matches the good green, but (b) is a poor match for the light green.
The Exemplar Approach
• Concept is represented by multiple examples
(rather than a single prototype)
• Examples are actual category members
(not abstract averages)
• To categorize, compare the new item to stored examples
• Explains typicality effect
• Easily takes into account atypical cases
• Easily deals with variable categories
Prototypes or Exemplars?
• May use both
• Exemplars may work best for small categories
• Prototypes may work best for larger categories
Hierarchical Organization
• To fully understand how people categorize objects, one must consider – Properties of objects
– Learning and experience of perceivers
Caption: Levels of categories for (a) furniture and (b) vehicles. Rosch provided evidence for the idea that the basic level is “psychologically privileged.”
Caption: Left column: category levels; middle column: examples of each level for furniture; right column: average number of common features, listed from Rosch, Mervis et al.’s (1976) experiment.
Evidence that Basic Level is Special
• People almost exclusively use basic-level names in free-naming tasks • Quicker to identify basic-level category member as a member of a category • Children learn basic-level concepts sooner than other levels
• Basic-level is much more common in adult discourse than names for superordinate categories
• Different cultures tend to use the same basic-level categories, at least for living things
Caption: Results of Tanaka and Taylor’s (1991)
“expert” experiment. Experts (left pair of bars)
used more specific categories to name birds,
whereas nonexperts (right pair of bars) used
more basic categories.
Semantic Networks
• Concepts are arranged in networks that represent the way concepts are organized in the mind
• Collins and Quillian (1969)
• Node = category/concept
• Concepts are linked
• Model for how concepts and properties are associated in the mind
Caption: Collins and Quillian’s (1969) semantic network. Specific concepts are indicated in blue. Properties of concepts are indicated at the nodes for each concept. Additional properties of a concept can be determined by moving up the network, along the lines connecting the concepts. For example, moving from “canary” up to “bird” indicates that canaries have feathers and wings and can fly.
• Cognitive economy: shared properties are only stored at higher-level nodes • Exceptions are stored at lower nodes
• Inheritance
• Lower-level items share properties of higher level items
Caption: The distance between concepts predicts how long it takes to retrieve information about concepts as measured by the sentence verification technique. Because it is necessary to travel on two links to get from canary to animal (left), but on only one to get from canary to bird (right) it should take longer to verify the statement “a canary is an animal.”
Semantic Networks
• Spreading activation
• Activation is the arousal level of a node
• When a node is activated, activity spreads out along all connected links
• Concepts that receive activation are primed and more easily accessed from memory
Figure 9.14 How activation can spread through a network as a person searches from “robin” to “bird” (blue arrow). The dashed lines indicate activation that is spreading from the activated bird node. Circled concepts, which have become primed, are easier to retrieve from memory because of the spreading activation.
• Lexical decision task
• Participants read stimuli and are asked to say as quickly as possible whether the item is a word or not
• Myer and Schvaneveldt (1971)
• Yes” if both strings are words; “no” if not
• Some pairs were closely associated
• Reaction time was faster for those pairs
• Spreading activation
• Criticism of Collins and Quillian
• Cannot explain typicality effects
• Cognitive economy?
• Some sentence-verification results are problematic for the model
• Collins and Loftus (1975) modifications
• Shorter links to connect closely related concepts
• Longer linkers for less closely related concepts
• No hierarchical structure; based on person’s experience
Caption: Semantic network
proposed by Collins and Loftus
(1975). (Reprinted from A.M.
Collins & E.F. Loftus, “A
Spreading-Activation Theory of
Semantic Processing.” From
Psychological Review, 82, pp.
407-428, Fig. 1. Copyright ©
1975 with permission from the American Psychological Association.
Assessment of Semantic Networks
• Is predictive and explanatory of some results, but not all
• Generated multiple experiments
• Lack of falsifiability
• No rules for determining link length or how long activation will spread • Therefore, there is no experiment that would “prove it wrong” • Circular reasoning
How are Concepts Represented in the Brain?
• Four Proposals:
• Sensory-Functional Hypothesis
• Multiple-Factor Approach
• Semantic Category Approach
• Embodied Approach
Sensory-Functional Hypothesis
• Different brain areas may be specialized to process information about different categories
– Double dissociation for categories “living things” and “nonliving things” (artifacts)
– Category-specific memory impairment
• Sensory-functional hypothesis:
– living things → sensory properties
– artifacts → functions
• Figure 9.21 Performance on a
naming task for patients K.C.
and E.W., both of whom had
category-specific memory
impairment. They were able to
correctly name pictures of
nonliving things (such as car
and table) and fruits and
vegetables (such as tomato
and pear) but performed poorly
when asked to name pictures of
animals.
The Semantic Category Approach
• Specific neural circuits for specific categories
• Figure 9.24 Results of the Huth et al. (2016) experiment in which participants listened to stories in a scanner. (a) Words that activated different places on the cortex. (b) Close-up of a smaller area of cortex. Note that a particular area usually responded to a number of different words, as indicated in Figure 9.25.
Multiple Factor Approach
• Distributed representation: how concepts are divided within a category – Animals → motion and color
– Artifacts → actions (using, interacting)
• Crowding: when different concepts within a category share many properties
– For example, “animals” all share “eyes,” “legs,” and “the ability to move”
The Embodied Approach
• Knowledge of concepts is based on reactivation of sensory and motor processes that occur when we interact with the object.
• Mirror neurons: fire when we do a task or we observe another doing that same task
• Semantic somatotopy: correspondence between words related to specific body parts and the location of brain activation
Figure 9.26 Hauk et al. (2004) results. Colored areas indicate the areas of the brain activated by (a) foot, finger, and tongue movements; (b) leg, arm, and face words.
CHAPTER 10 – Visual Imagery
Some Questions to Consider
• How do “pictures in your head” created by imagining an object compare to the experience you have when you see the actual object?
• How does damage to the brain affect the ability to form visual images? • How can we use visual imagery to improve memory?
• How do people differ in their ability to create visual images? What is Imagery
• Visual imagery: “seeing” in the absence of a visual stimulus
• Provides a way of thinking that adds another dimension to
purely verbal techniques
• Mental imagery: experiencing a sensory impression in the absence of sensory input
Early Ideas About Imagery
• Imageless thought debate
• Is thinking possible without images?
Imagery and the Cognitive Revolution
• Developed ways to measure behavior that could be used to infer cognitive processes
• Paired-associate learning
• Paivio (1963, 1965)
• Memory for words that evoke mental images is better than for those that do not
• Conceptual peg hypothesis
• Shepard and Metzler (1971)
• Mental chronometry
• Participants mentally rotated one object to see if it matched
another object
Figure 10.1 Stimuli for Shepard and Metzler’s
(1971) mental rotation experiment.
Imagery and Perception
• Spatial correspondence between imagery and perception
• Mental scanning
• Participants create mental images and then scan them in their minds
• Kosslyn (1973)
• Memorize picture and create an image of it
• In image, move from one part of the picture to the other
• It took longer for participants to mentally move long
distances than shorter distances.
• Like perception, imagery is spatial.
• Figure 10.2 Stimulus for Kosslyn’s (1973) image-scanning
experiment.
• Lea (1975)
• More distractions when scanning longer distances may have increased the reaction time.
• Interesting things encountered during the mental scan are
responsible for these distractions.
• Kosslyn and coworkers (1978)
• Island with seven locations, 21 trips
• It took longer to scan between greater distances.
• Visual imagery is spatial.
Figure 10.4 (a) Island used in Kosslyn et al.’s (1978) image-scanning experiment. Participants mentally traveled between various locations on the island. (b) Results of the island experiment.
Is Imagery Spatial or Propositional?
• Pylyshyn (1973)
• Spatial representation is an epiphenomenon.
Accompanies real mechanism but is not actually a part of it
• Proposed that imagery is propositional.
Can be represented by abstract symbols
• Imagery debate
Propositional representation: symbols, language
Depictive representation: similar to realistic pictures
Figure 10.5 Propositional and spatial, or depictive, representations of “The cat is under the table.”
Comparing Imagery and Perception
• Relationship between viewing distance and ability to perceive details • Imagine small object next to large object
• Quicker to detect details on the larger object
Figure 10.7 Moving closer to an object, such as this car, has two effects: (1) The object fills more of your visual field, and (2) details are easier to see.
• Mental walk task
• Move closer to small animals than to large animals
• Images are spatial, like perception
Figure 10.8 These pictures represent images that Kosslyn’s (1978) participants created, which filled different portions of their visual field. (a) Imagine elephant and rabbit, so elephant fills the field. (b) Imagine rabbit and fly, so rabbit fills the field. Reaction times indicate how long it took participants to answer questions about the rabbit.
Interactions of Imagery and Perception
• Perky (1910)
• Mistake actual picture for a mental image
Figure 10.9 Participant in Perky’s (1910) experiment. Unbeknownst to the participants, Perky was projecting dim images onto the screen.
Figure 10.10 Procedure for Farah’s (1985) letter visualization experiment. (a) The participant visualizes H or T on the screen. (b) Then two squares flash, one after the other, on the same screen. As shown on the right, the target letter can be in the first square or in the second one. The participants’ task is to determine whether the test letter was flashed in the first square or in the second square. (c) Results showing that accuracy was higher when the letter in (b) was the same as the one that had been imagined in (a).
Imagery and the Brain
Imagery neurons respond to both perceiving and imagining an object • Overlap in brain activation
• Visual cortex
Figure 10.11 Responses of single neurons in a person’s medial temporal lobe that (a) respond to perception of a baseball but not of a face, and (b) respond to imagining a baseball but not to imagining a face
Le Bihan and coworkers (1993)
• Overlap in brain activation
• Visual cortex
Figure 10.12 Results of Le Bihan et al.’s (1993) study measuring brain activity using fMRI. Activity increases to presentation of a visual stimulus (shaded area marked “Stimulus on”) and also increases when participants are imagining the
stimulus (area marked “Imagined stimulus”). In contrast, activity is low when there is no actual or imagined stimulus.
Ganis and coworkers (2004)
• Complete overlap of activation by perception and imagery in front of the brain
• Differences near back of the brain
Figure 10.14 Procedure for Ganis et al.’s (2004) experiment. A trial begins with the name of an object that was previously studied, in this case “tree.” In the imagery condition, participants had their eyes closed and had to imagine the tree. In the perception condition, participants saw a faint picture of the object. Participants then heard instructions. The W in this example means they were to judge whether the object was “wider than tall.”
Amedi and coworkers (2005)
• Again, overlap
• Deactivation of nonvisual areas of brain
Hearing
Touch
• Mental images more fragile, less activation keeps other things from interfering
Brain activity in response to imagery
• May indicate something is happening
• May not cause imagery
Transcranial magnetic stimulation (TMS)
• Decreases brain functioning in a particular area of the brain for a short time
• If behavior is disrupted, the deactivated part of the brain is causing that behavior
Kosslyn and coworkers (1999)
• TMS to visual area of brain during perception and imagery task • Response time slower for both
• Brain activity in visual area of brain plays a causal role for both perception and imagery
Figure 10.18 Results of the mental walk task for patient M.G.S. Left: Before her operation, she could mentally “walk” to within 15 feet before the image of the horse overflowed her visual field. Right: After removal of the right occipital lobe, the size of the visual field was reduced, and she could mentally approach only to within 35 feet of the horse before it overflowed her visual field.
Neuropsychological Case Studies
Unilateral neglect
• Patient ignores objects in one half of visual field in perception and imagery
Dissociations Between Imagery and Perception
Guariglia and coworkers (1993)
• Brain-damaged patient
• Patient’s perceptions intact, but mental images were impaired R.M.
• Damage to occipital and parietal lobes
• Could draw accurate pictures of objects in front of him
• Could not draw accurate pictures of objects from memory (using imagery)
C.K.
• Inability to name pictures of objects, even his own drawings, in front of him
• Could draw objects in great detail from memory (using imagery)
Making Sense of Neuropsychological Results
Evidence for a double dissociation between imagery and perception • Indicates separate mechanisms
Also evidence for shared mechanisms
Imagery and Perception
Differences in experience
• Perception is automatic and stable
• Imagery takes effort and is fragile
Chalmers and Reisberg (1985)
• Had participants create mental images of ambiguous figures
• Difficult to flip from one perception to another while holding a mental image of it
Figure 10.21 What is this, a rabbit (facing right) or a duck (facing left)? Using Imagery to Improve Memory
Placing images at locations
Method of loci
• Visualizing items to be remembered in different locations in a mental image of a spatial layout
Associating images with words
Pegword technique
• Associate items to be remembered with concrete words
• Pair each of these things with a pegword
• Create a vivid image of things to be remembered with the object represented by the word
CHAPTER 11 LANGUAGAGE
• How do we understand individual words, and how are words combined to create sentences?
• How can we understand sentences that have more than one meaning? • How do we understand stories?
• Does language affect the way a person perceives colors?
What Is Language?
• System of communication using sounds or symbols
• Express feelings, thoughts, ideas, and experiences
The Creativity of Human Language
• Hierarchical system
• Components that can be combined to form larger units
• Governed by rules
• Specific ways components can be arranged
The Universality of Language
• Deaf children invent sign language
• All cultures have a language
• Language development is similar across cultures
• Languages are “unique but the same”
• Different words, sounds, and rules
• All have nouns, verbs, negatives, questions, past/present tense Studying Language in Cognitive Psychology
• B.F. Skinner (1957) Verbal Behavior
• Language learned through reinforcement
• Noam Chomsky (1957) Syntactic Structures
• Human language coded in the genes
• Underlying basis of all language is similar
• Children produce sentences they have never heard and that have never been reinforced
• Psycholinguistics: discover psychological process by which humans acquire and process language
• Comprehension
• Speech production
• Representation
• Acquisition
Perceiving and Understanding Words
• Lexicon: all words a person understands
• Phoneme: shortest segment of speech that, if changed, changes the meaning of the word
• Morphemes: smallest unit of language that has meaning or grammatical function
Lexical semantics: the meaning of words
– Each word has one or more meanings
• Phonemic restoration effect
– “Fill in” missing phonemes based on context of sentence and portion of word presented
• Word frequency effect
– We respond faster to high-frequency words
– Rayner and Duffy (1986) fixation and gaze times
– Eye movements while reading
– Look at low-frequency words longer
• Variable word pronunciation
– “Didjoo?” “Gonna”
– Use context to understand words with unfamiliar pronunciations • Speech segmentation
– Perception of individual words even though there are no silences between spoken words
– Context
– Understanding of meaning
– Understanding of sound and syntactic rules
– Statistical learning
• Lexical ambiguity
– Words have more than one meaning
– Context clears up ambiguity after all meanings of a word have been briefly accessed
• Meaning dominance—some words are used more frequently than others
– Biased dominance
– When words have two or more meanings with different
dominance
– Balanced dominance
– When words have two or more meanings with about the same dominance
Meaning Dominance
Figure 11.3 Accessing the meaning of ambiguous words while reading a sentence is determined by the word’s dominance and the context created by the sentence. If there is no prior context: (a) competition between equally likely meanings of a word
with balanced dominance results in slow access; (b) activation of only the most frequent meaning of a word with biased dominance results in fast access. If there is context before a word with biased dominance: (c) activation of both the less frequent and most frequent meanings results in slow access; (d) activation of only the most frequent meaning results in fast access. See text for examples.
Understanding Sentences
• Semantics: meanings of words and sentences
• Syntax: rules for combining words into sentences
• Event-related potential and brain imaging studies have shown syntax and semantics are associated with different mechanisms
• Parsing: mental grouping of words in a sentence into phrases • Helps the listener create meaning
• Figure 11.4 Parsing is the process that occurs when a person hears or reads a string of words (Words in) and groups these words into phrases in their mind (Parsed sentence in mind). The way the words are grouped in this example indicates that the person has interpreted the sentence to mean that the musician played the piano and then left the stage.
• Syntactic ambiguity: more than one possible structure, more than one meaning
• Garden path sentences
• Sentences that begin by appearing to mean one thing, but then end up meaning something else
• Temporary ambiguity
• When the initial words are ambiguous, but the meaning is made clear by the end of the sentence
• Syntax-first approach to parsing
• Listeners use heuristics (rules) to group words into phrases
• Grammatical structure of sentence determines parsing
• Late closure: parser assumes new word is part of the current phrase • A.k.a. the Garden-path model
• Interactionist (constraint-based) approach to parsing
• Semantics influence processing as one reads a sentence, along with syntax
• Word meaning
• Story context
• Memory load
• Subject-relative and object-relative sentence construction
• Tannenhaus and coworkers (1995)
• Visual world paradigm, the context of a scene
• Eye movements change when information suggests revision of interpretation of sentence is necessary
• Syntactic and semantic information used simultaneously
• Understanding Sentences: Story Context
Figure 11.6 (a) One-apple scene similar to the one viewed by Tanenhaus et al.’s (1995) participants. (b) Eye movements made while comprehending the task. (c) Proportion of trials in which eye movements were made to the towel on the right for the ambiguous sentence. (Place the apple on the towel in the box) and the unambiguous sentence (Place the apple that’s on the towel in the box).
Figure 11.7 (a) Two-apple scene similar to the one viewed by Tanenhaus et al.’s (1995) subjects. (b) Eye movements while comprehending the task. (c) Proportion of trials in which eye movements were made to the towel on the right for the ambiguous sentence (Place the apple on the towel in the box) and the unambiguous sentence (Place the apple that’s on the towel in the box).
Understanding Text and Stories
• Coherence: representation of the text in one’s mind so that information from one part of the text can be related to information in another part of the text
• Between parts of text
• Also, between local parts of text and the overall topic of the story
• Inference: readers create information during reading not explicitly stated in the text
• Anaphoric: connecting objects/people
• Instrumental: tools or methods
• Causal: events in one clause caused by events in previous sentence • Situation model: mental representation of what a text is about • Represent events as if experiencing the situation
• Point of view of protagonist
• Figure 11.9 Stimuli similar to those used in (a) Stanfield and Zwaan’s (2001) “orientation” experiment and (b) Zwaan et al.’s (2002) “shape” experiment. Subjects heard sentences and were then asked to indicate whether the picture was the object mentioned in the sentence
Figure 11.10 Results of Stanfield
and Zwaan’s (2001) and Zwaan et
al.’s (2002) experiments. Subjects
responded “yes” more rapidly for the
orientation, in (a), and the shape, in
(b), that was more consistent with the
sentence.
• Physiology of simulations
• Approximately the same
areas of the cortex are
activated by actual
movements and by
reading related action
words
• The activation is more
extensive for actual
movements
Situation Models and Brain Activation
Hauk et al. (2004) results. Colored areas indicate the areas of the brain activated by (a) foot, finger, and tongue movements; (b) leg, arm, and face words.
Producing Language: Conversation
• Two or more people talking together
• Dynamic and rapid
• Semantic coordination
• Conversations go more smoothly if participants have shared knowledge Producing Speech: Conversations
• Given-new contract: speaker constructs sentences so they include • Given information
• New information
• New can then become given information
• Common ground
• Entrainment: synchronization between conversation partners • Syntactic coordination
• Using similar grammatical constructions
• Syntactic priming
• Production of a specific grammatical construction by one person increases chances other person will use that construction
• Reduces computational load in conversation
The Branigan et al. (2000) experiment. (a) The subject (right) picks, from the cards laid out on the table, a card with a picture that matches the statement read by the confederate (left). (b) The participant then takes a card from the pile of response cards and describes the picture on the response card to the confederate. This is the key part of the experiment, because the question is whether the participant on the right will match the syntactic construction used by the confederate on the left.
• Other skills are necessary for people to engage in effective conversations.
• Theory of mind: being able to understand what others feel, think, or believe
• Nonverbal communication: being able to interpret and react to the person’s gestures, facial expressions, tones of voice, and other cues to meaning
Culture, Language, & Cognition
• Sapir-Whorf hypothesis: language influences thought
• Roberson and coworkers (2000)
• Two cultures had differences in how participants assigned names to color chips
• Categorical perception
• Stimuli in same categories are more difficult to discriminate from one another than stimuli in two different categories
• Differences in the way names were assigned to colors affect the ability to tell the difference between colors
• Language can affect color perception
• Limits to the effects of language
• Regier and coworkers (2005)
• Different languages have similar choice for “best” color
examples