word recognition in normal reading sara c. sereno collaborators: ras/pgs: paddy...

33
Word recognition in normal reading Sara C. Sereno Collaborators : RAs/PGs : Paddy O’Donnell Sébastien Miellet Hartmut Leuthold Graham

Upload: gilbert-lewis

Post on 11-Jan-2016

221 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Word recognitionin normal reading

Sara C. Sereno

Collaborators: RAs/PGs:

Paddy O’Donnell Sébastien Miellet

Hartmut Leuthold Graham Scott

Christopher Hand

Page 2: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Word Recognition

• What factors affect word recognition?

• How can word recognition processes be accurately measured?

• How can effects be interpreted?

Page 3: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

• Orthography of language– English vs. Hebrew or Japanese

• Intraword (sublexical) variables– word-initial bi/tri-grams clown vs. dwarf– spelling-to-sound regularity hint vs. pint– neighborhood consistency made vs.

gave– morphemes

• prefix vs. pseudo-prefix remind vs. relish• compound vs. pseudo-compound cowboy vs. carpet

What factors affect word recognition?

Page 4: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

What factors affect word recognition?

• Word (lexical) variables– word length duke vs. fisherman– word frequency student vs. steward– AoA rabbit vs. violin– expert vocabulary voxel– syntactic class open/closed-class; A,N,V– ambiguity bank (“money” “river”)– concreteness/imageability tree vs. idea– animacy dog vs. cup– affective tone love vs. farm vs. fire

Page 5: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

What factors affect word recognition?

• Extraword (supralexical) variables– Contextual predictability

Neutral He bought a large plant for his garden.

Biasing Terry went to the new gardening centre. He bought a large plant for his garden.

– Syntactic complexity

Trans. Mary took the book

VERB Mary knew the book

Intrans. Mary hoped the book

on the table.was good.

on the table.was good.

on the table.was good.

Page 6: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

• Extraword (supralexical) variables– Discourse factors

Focus The dog chased the cat today.

The cat was chased by the dog today.

What the dog chased was the cat today.

It was the cat that was chased by the dog today.

Elaborative inferences & anaphora

What factors affect word recognition?

… The mugger her with his weaponweapon…

He threw the knife into the bushes and ran away.

stabbedassaulted

Page 7: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

What factors affect word recognition?

• Language skill– beginning (novice) vs. skilled (expert) readers– normal vs. dyslexic vs. neuropsychological patient

How can word recognition processesbe accurately measured?

Page 8: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Measure Task Time Res.“electrical” imaging single word presentation ~80 – 500 ms (EEG, MEG) word-by-word reading (P1,N1,EPN,N400)

Eye movements in fixation time, location & ~250 ms normal reading sequence of EM’s

RT naming, lexical decision ~500 – 800 ms categorization tasks;

± priming, masking, lateralized presentation

“blood flow” imaging single word presentation seconds (PET, fMRI)

Page 9: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Thisisawordbywordpresentationofasentenceatafastreading-likerate.

Word-by-word reading: 200 ms per word

Page 10: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Thisisawordbywordpresentationofasentenceataslowratetypically usedinERPstudies.

Word-by-word reading: 600 ms per word

Page 11: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Normal Reading

Page 12: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 13: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 14: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 15: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 16: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 17: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 18: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.

*

Page 19: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.*

Page 20: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.*

Page 21: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

This is an approximation of normal reading

in real time.*

Page 22: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand
Page 23: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

The importance of making eye movements in normal reading

Cond1 There was a box of…

Cond2 There was an enormous box of…

Cond1 She saw a cat in the…

Cond2 She saw a cup in the…

Perception of text influences how EMs made.

AND

Location/duration of EMs affect perception.

Page 24: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

(1) Pick factors: stimulus quality, frequency, predictability

• Additive factors

How can effects be interpreted?

StimulusQuality

Context

Frequency

RTLo freq

Hi freq

+ – stim qual

RT

+ – context

– stim

+ stim

RT

+ – context

Lo freq

Hi freq

(3) Additive sequential Interactive overlapping

(2) Independently manipulate 2 factors at once:

Page 25: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

oculomotor-related factorslaunch distance to wordlocation of fixation within wordnumber of fixations on wordword lengthword frequencycontextual predictability

language-related factors

How can effects be interpreted?• Modelling

(1) Pick factors:

Page 26: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

oculomotor-related factorslaunch distance to wordlocation of fixation within wordnumber of fixations on wordword lengthword frequencycontextual predictability

language-related factors

How can effects be interpreted?• Modelling

(1) Pick factors:

(2) Perform repeated measures multiple regression analysis to determine which factors account for most variance.

Page 27: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Factors Measures Approachorthographybi-/tri-gramsregularityneighborhoodmorphologylengthfrequencyjargonword classambiguityimagabilityanimacyemotionalitypredictabilitysyntactic prefs.focusinferenceanaphoraskill

ERPs+

word-by-word(slow) presentation

Eye movements +

normal reading

EM-ERPco-registration?

Additive factors

Repeated measuresmultiple regression

Page 28: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Distributed hierarchical visual processing in primateslexical humans

higher-levelsemantics

syntax

meanings

word forms

letters

features

Page 29: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Conclusion

Precisely delineating the time course of different components of word recognition allows us to:

– determine when top-down effects modulate bottom-up processes;

– inform neuroimaging localisation studies in order to construct a temporally realistic neural circuitry of normal reading.

Page 30: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand
Page 31: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

Measurement

EMs = best on-line measure of visual word recognition in the context of normal reading

ERPs = best real-time measure of brain activity associated with the perceptual and cognitive processing of words

Page 32: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

(Sereno & Rayner, Trends in Cognitive Sciences, 2003)

Page 33: Word recognition in normal reading Sara C. Sereno Collaborators: RAs/PGs: Paddy O’DonnellSébastien Miellet Hartmut LeutholdGraham Scott Christopher Hand

(Sereno & Rayner, Trends in Cognitive Sciences, 2003)

Sereno, Rayner, & Posner (1998). NeuroReport.Sereno, Brewer, & O’Donnell (2003). Psych. Sci.