"An asymmetrical optimal viewing position (OVP) effect in isolated
word recognition has been wel... more "An asymmetrical optimal viewing position (OVP) effect in isolated
word recognition has been well documented, such that
recognition speed and accuracy are highest when the point
of fixation within the word is slightly to the left of center.
However, there remains disagreement as to the source of the
asymmetry in the OVP effect. One leading explanation is that
perceptual acuity in isolated word recognition is asymmetric,
falling off more rapidly to the left than to the right. An alternative
explanation is that of lexical constraint: perceptual acuity
may be symmetric, but that the distributional statistics of the
lexicon are such that the letters near the beginning of a word
are on average of greater value in discriminating word identity
than the letters near the end. On both these accounts, a
left-of-center fixation point optimizes the efficient accrual of
perceptual input from the word string, but for different reasons.
These accounts have been difficult to tease apart experimentally
due to the ubiquitous potential influence of lexical
constraint. Here we take a novel approach, constructing an
ideal-observer model of isolated word recognition which takes
into account word frequency information and thus intrinsically
accounts for the role of lexical constraint. Within this model,
the shape of the perceptual acuity curve is governed by free parameters
that can be estimated from purely behavioral response
data from word recognition experiments. Fitting our model to
the experimental data of (Stevens & Grainger, 2003), we find
that asymmetric version in which perceptual acuity can differ
to the left and to the right fits human behavioral responses significantly
better than symmetric versions in which the perceptual
acuity curve is constrained to be the same to the left and to
the right. Furthermore, in both parametric and nonparametric
versions of the asymmetric model, perceptual acuity falls off
more rapidly to the left than to the right. These results support
the position that the perceptual acuity curve in isolated word
recognition is indeed asymmetric."
This study aimed to explore the temporal dynamics of the consistency effect in reading Chinese ph... more This study aimed to explore the temporal dynamics of the consistency effect in reading Chinese phonograms. High-consistency and low-consistency characters were used in the homophone judgment task, and the event-related potentials were recorded. The data showed that low-consistency characters elicited greater N170 amplitude in the temporal-occipital region and greater P200 amplitude in the frontal region than high-consistency characters, whereas high-consistency characters showed greater amplitude of the N400 negativity than low-consistency characters. These findings can be interpreted as indicating that low-consistency characters produce a greater activation for the initial analysis of the orthographical and phonological representations, whereas high-consistency characters involve a greater lexical competition in the later stage.
"An asymmetrical optimal viewing position (OVP) effect in isolated
word recognition has been wel... more "An asymmetrical optimal viewing position (OVP) effect in isolated
word recognition has been well documented, such that
recognition speed and accuracy are highest when the point
of fixation within the word is slightly to the left of center.
However, there remains disagreement as to the source of the
asymmetry in the OVP effect. One leading explanation is that
perceptual acuity in isolated word recognition is asymmetric,
falling off more rapidly to the left than to the right. An alternative
explanation is that of lexical constraint: perceptual acuity
may be symmetric, but that the distributional statistics of the
lexicon are such that the letters near the beginning of a word
are on average of greater value in discriminating word identity
than the letters near the end. On both these accounts, a
left-of-center fixation point optimizes the efficient accrual of
perceptual input from the word string, but for different reasons.
These accounts have been difficult to tease apart experimentally
due to the ubiquitous potential influence of lexical
constraint. Here we take a novel approach, constructing an
ideal-observer model of isolated word recognition which takes
into account word frequency information and thus intrinsically
accounts for the role of lexical constraint. Within this model,
the shape of the perceptual acuity curve is governed by free parameters
that can be estimated from purely behavioral response
data from word recognition experiments. Fitting our model to
the experimental data of (Stevens & Grainger, 2003), we find
that asymmetric version in which perceptual acuity can differ
to the left and to the right fits human behavioral responses significantly
better than symmetric versions in which the perceptual
acuity curve is constrained to be the same to the left and to
the right. Furthermore, in both parametric and nonparametric
versions of the asymmetric model, perceptual acuity falls off
more rapidly to the left than to the right. These results support
the position that the perceptual acuity curve in isolated word
recognition is indeed asymmetric."
This study aimed to explore the temporal dynamics of the consistency effect in reading Chinese ph... more This study aimed to explore the temporal dynamics of the consistency effect in reading Chinese phonograms. High-consistency and low-consistency characters were used in the homophone judgment task, and the event-related potentials were recorded. The data showed that low-consistency characters elicited greater N170 amplitude in the temporal-occipital region and greater P200 amplitude in the frontal region than high-consistency characters, whereas high-consistency characters showed greater amplitude of the N400 negativity than low-consistency characters. These findings can be interpreted as indicating that low-consistency characters produce a greater activation for the initial analysis of the orthographical and phonological representations, whereas high-consistency characters involve a greater lexical competition in the later stage.
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Papers by wen-hsuan chan
word recognition has been well documented, such that
recognition speed and accuracy are highest when the point
of fixation within the word is slightly to the left of center.
However, there remains disagreement as to the source of the
asymmetry in the OVP effect. One leading explanation is that
perceptual acuity in isolated word recognition is asymmetric,
falling off more rapidly to the left than to the right. An alternative
explanation is that of lexical constraint: perceptual acuity
may be symmetric, but that the distributional statistics of the
lexicon are such that the letters near the beginning of a word
are on average of greater value in discriminating word identity
than the letters near the end. On both these accounts, a
left-of-center fixation point optimizes the efficient accrual of
perceptual input from the word string, but for different reasons.
These accounts have been difficult to tease apart experimentally
due to the ubiquitous potential influence of lexical
constraint. Here we take a novel approach, constructing an
ideal-observer model of isolated word recognition which takes
into account word frequency information and thus intrinsically
accounts for the role of lexical constraint. Within this model,
the shape of the perceptual acuity curve is governed by free parameters
that can be estimated from purely behavioral response
data from word recognition experiments. Fitting our model to
the experimental data of (Stevens & Grainger, 2003), we find
that asymmetric version in which perceptual acuity can differ
to the left and to the right fits human behavioral responses significantly
better than symmetric versions in which the perceptual
acuity curve is constrained to be the same to the left and to
the right. Furthermore, in both parametric and nonparametric
versions of the asymmetric model, perceptual acuity falls off
more rapidly to the left than to the right. These results support
the position that the perceptual acuity curve in isolated word
recognition is indeed asymmetric."
Conference Presentations by wen-hsuan chan
word recognition has been well documented, such that
recognition speed and accuracy are highest when the point
of fixation within the word is slightly to the left of center.
However, there remains disagreement as to the source of the
asymmetry in the OVP effect. One leading explanation is that
perceptual acuity in isolated word recognition is asymmetric,
falling off more rapidly to the left than to the right. An alternative
explanation is that of lexical constraint: perceptual acuity
may be symmetric, but that the distributional statistics of the
lexicon are such that the letters near the beginning of a word
are on average of greater value in discriminating word identity
than the letters near the end. On both these accounts, a
left-of-center fixation point optimizes the efficient accrual of
perceptual input from the word string, but for different reasons.
These accounts have been difficult to tease apart experimentally
due to the ubiquitous potential influence of lexical
constraint. Here we take a novel approach, constructing an
ideal-observer model of isolated word recognition which takes
into account word frequency information and thus intrinsically
accounts for the role of lexical constraint. Within this model,
the shape of the perceptual acuity curve is governed by free parameters
that can be estimated from purely behavioral response
data from word recognition experiments. Fitting our model to
the experimental data of (Stevens & Grainger, 2003), we find
that asymmetric version in which perceptual acuity can differ
to the left and to the right fits human behavioral responses significantly
better than symmetric versions in which the perceptual
acuity curve is constrained to be the same to the left and to
the right. Furthermore, in both parametric and nonparametric
versions of the asymmetric model, perceptual acuity falls off
more rapidly to the left than to the right. These results support
the position that the perceptual acuity curve in isolated word
recognition is indeed asymmetric."