Abstracts of the Psychonomic Society — Volume 14 — November ...
Abstracts of the Psychonomic Society — Volume 14 — November ...
Abstracts of the Psychonomic Society — Volume 14 — November ...
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Sunday Morning Papers 316–322<br />
Madison<strong>—</strong>Two primary methods have been used in studies <strong>of</strong> word reading:<br />
small-scale factorial studies and larger scale “megastudies” involving<br />
thousands <strong>of</strong> words. We conducted comparisons <strong>of</strong> <strong>the</strong> two, using<br />
<strong>the</strong> frequency 3 regularity interaction in word naming as a test case.<br />
Whereas <strong>the</strong> effect replicates across small-scale studies conducted in<br />
different labs with different materials, <strong>the</strong> same results were not obtained<br />
using item means from three megastudies. Correlations between <strong>the</strong> megastudies<br />
are also surprisingly low. The considerable error variance in<br />
<strong>the</strong> megastudies limits <strong>the</strong>ir use in creating mini (“virtual”) experiments.<br />
The megastudies yield small but more consistent results using multiple<br />
regression to examine factors such as frequency and length. We conclude<br />
that important phenomena would not have been discovered using only<br />
<strong>the</strong> megastudy methodology.<br />
10:40–10:55 (316)<br />
Parafoveal Preview Effects Within and Between Morphemes. DENIS<br />
DRIEGHE, Ghent University, ALEXANDER POLLATSEK, University<br />
<strong>of</strong> Massachusetts, Amherst, BARBARA J. JUHASZ, Wesleyan University,<br />
& KEITH RAYNER, University <strong>of</strong> California, San Diego<strong>—</strong>Much<br />
emphasis has been placed on how serial versus parallel models <strong>of</strong> lexical<br />
processing during eye fixations in reading can account for observations<br />
obtained in between-word boundary change experiments. We implemented<br />
a boundary change manipulation within a monomorphemic<br />
word (e.g., “fountaom,” as a preview for “fountain”), where, given adequate<br />
visual acuity, parallel processing is uncontested. Parafoveal preview<br />
was also examined within an unspaced compound (e.g., “bathroan,”<br />
as a preview for “bathroom”), where serial processing <strong>of</strong> <strong>the</strong> constituents<br />
is likely. There was larger preview benefit on monomorphemic words<br />
than on compounds. Also, differences occurred early in <strong>the</strong> word: There<br />
was no effect <strong>of</strong> <strong>the</strong> preview manipulation on <strong>the</strong> first constituent <strong>of</strong> <strong>the</strong><br />
compound, but <strong>the</strong>re was on <strong>the</strong> corresponding letters <strong>of</strong> <strong>the</strong> monomorphemic<br />
word. The massive preview benefit observed with monomorphemic<br />
words (225 msec) casts doubts on <strong>the</strong> amount <strong>of</strong> parallel processing<br />
typically taking place between words (effects <strong>of</strong> 20–40 msec).<br />
11:00–11:15 (317)<br />
Effects <strong>of</strong> Word Frequency and Repetition on <strong>the</strong> Coordination<br />
<strong>of</strong> Eye Fixations and Responses in Word Sequences. JENNIFER S.<br />
BURT, STEFANIE I. BECKER, MICHAEL CARROLL, & ROGER W.<br />
REMINGTON, University <strong>of</strong> Queensland<strong>—</strong>The coordination <strong>of</strong> <strong>the</strong> eyes<br />
and manual responses was examined in sequences <strong>of</strong> five 4-letter words<br />
and nonwords arrayed from <strong>the</strong> left to <strong>the</strong> right edge <strong>of</strong> a computer display.<br />
Readers fixated <strong>the</strong> items in turn and made a lexical decision to<br />
each. Replicating previous results with single letters, <strong>the</strong> eyes left each<br />
item approximately 250 msec prior to <strong>the</strong> execution <strong>of</strong> <strong>the</strong> manual response<br />
to <strong>the</strong> item. Reductions <strong>of</strong> lexical processing time brought about<br />
by repetition and high word frequency reduced both fixation durations<br />
and interresponse times for <strong>the</strong> relevant word. Frequency <strong>of</strong> <strong>the</strong> immediately<br />
preceding word affected fixation durations and <strong>the</strong> interval from<br />
<strong>the</strong> eyes leaving a word until a response to it, whereas repetition <strong>of</strong> <strong>the</strong><br />
prior word did not consistently affect fixations or responses to <strong>the</strong> current<br />
word. These results suggest different effects <strong>of</strong> word frequency and<br />
repetition on eye movement control and responses.<br />
11:20–11:35 (318)<br />
Reading Spaced and Unspaced Chinese Text: Evidence From Nonnative<br />
Chinese Speakers’ Eye Movements. SIMON P. LIVERSEDGE,<br />
University <strong>of</strong> Southampton, DELI SHEN, XUEJUN BAI, JIN TIAN, &<br />
GUOLI YAN, Tianjin Normal University, & KEITH RAYNER, University<br />
<strong>of</strong> California, San Diego<strong>—</strong>We examined spacing in relation to word<br />
segmentation for four groups <strong>of</strong> nonnative Chinese speakers (American,<br />
Korean, Japanese, and Thai) learning Chinese as a second language.<br />
We used Chinese sentences with four spacing formats: unspaced text,<br />
word-spaced text, character-spaced text, and nonword-spaced text. Native<br />
languages were spaced (English and Korean) or unspaced (Japanese<br />
and Thai), character based (Japanese and Korean), or alphabetic (English<br />
and Thai). We investigated whe<strong>the</strong>r spacing effects in <strong>the</strong> second language<br />
were modulated by characteristics <strong>of</strong> <strong>the</strong> native language. Reading<br />
measures all showed least disruption for word-spaced text and more for<br />
unspaced, spaced, and nonword-spaced text, respectively. Effects were<br />
48<br />
uninfluenced by native language (though Chinese reading experience did<br />
produce differences). Demarcation <strong>of</strong> word boundaries through spacing<br />
speeds lexical identification during nonnative reading. The data suggest<br />
that <strong>the</strong> word, not <strong>the</strong> character, is <strong>the</strong> primary unit <strong>of</strong> information in<br />
Chinese reading.<br />
11:40–11:55 (319)<br />
Words Are Spatially Indexed During Reading. ALBRECHT W.<br />
INHOFF, SEYMOUR BRADLEY, & JASON FLEISCHER, Binghamton<br />
University, & RALPH RADACH, Florida State University<strong>—</strong>Our<br />
work examined <strong>the</strong> spatial addressability <strong>of</strong> recognized visual words during<br />
reading. Participants read text with a target word near <strong>the</strong> left (close<br />
to sentence onset) or right margin. This was followed by a recognition<br />
memory task in which participants were asked to determine whe<strong>the</strong>r<br />
a word (target/old or filler/new) had appeared in <strong>the</strong> previously read<br />
sentence. Word onset was accompanied by a 50-msec left- or right-side<br />
visual cue that matched or mismatched <strong>the</strong> target’s original sentence<br />
location or occupied a randomly selected right/left location on filler trials.<br />
No cues were present in a baseline condition. Left-cue and no-cue<br />
trials yielded faster RTs for left- than for right-side targets. Right-side<br />
cues resulted in relatively long RTs for left-side targets and short RTs for<br />
right-side targets. Spatial cuing thus facilitated lexical retrieval when <strong>the</strong><br />
word was not close to sentence onset.<br />
Categories and Concepts III<br />
Back Bay Ballroom C, Sunday Morning, 10:20–11:55<br />
Chaired by John Paul Minda, University <strong>of</strong> Western Ontario<br />
10:20–10:35 (320)<br />
Visual Working Memory: Its Effects on Learning Rule-Defined and<br />
Non-Rule-Defined Categories. JOHN PAUL MINDA & SARAH J.<br />
MILES, University <strong>of</strong> Western Ontario<strong>—</strong>It is intuitive that category<br />
learning involves contributions from both visual and verbal systems,<br />
and considerable research suggests that <strong>the</strong> learning <strong>of</strong> rule-defined categories<br />
depends on working memory. However, most existing research<br />
has focused on verbal working memory, so <strong>the</strong> role <strong>of</strong> visual working<br />
memory in categorization is unclear. We describe several experiments<br />
that investigated <strong>the</strong> roles <strong>of</strong> visual and verbal memory in category<br />
learning. In one experiment, both a visual and a verbal working memory<br />
task interfered with <strong>the</strong> learning <strong>of</strong> rule-defined categories, but only <strong>the</strong><br />
visual working memory task seemed to interfere with <strong>the</strong> learning <strong>of</strong><br />
non-rule-defined categories. In ano<strong>the</strong>r experiment, a visual task that<br />
did not rely much on working memory disrupted <strong>the</strong> learning <strong>of</strong> nonrule-defined<br />
categories, but did not disrupt <strong>the</strong> learning <strong>of</strong> rule-defined<br />
categories. We discuss <strong>the</strong>se results within a multiple systems <strong>the</strong>ory <strong>of</strong><br />
category learning.<br />
10:40–10:55 (321)<br />
The Development <strong>of</strong> Categorization: Category Structure, Selective<br />
Attention, and Inhibitory Control. VLADIMIR M. SLOUTSKY, Ohio<br />
State University<strong>—</strong>The ability to learn categories appears early in development.<br />
Some aspects <strong>of</strong> category learning (e.g., <strong>the</strong> ability to learn statistically<br />
dense or similarity-based categories) exhibit relative phylogenetic<br />
and ontogenetic universality and can be found across a wide range <strong>of</strong> species<br />
and age groups. O<strong>the</strong>r aspects <strong>of</strong> category learning are less universal,<br />
and <strong>the</strong>y emerge relatively late in development. For example, human<br />
adults (but not human infants) can learn statistically sparse, similarity-free<br />
categories. What changes in <strong>the</strong> course <strong>of</strong> development? We propose that,<br />
whereas learning <strong>of</strong> dense categories could be subserved by <strong>the</strong> striatum,<br />
learning <strong>of</strong> sparse categories requires <strong>the</strong> involvement <strong>of</strong> <strong>the</strong> prefrontal<br />
cortex. If this is <strong>the</strong> case, <strong>the</strong> development <strong>of</strong> categorization is linked to<br />
<strong>the</strong> development <strong>of</strong> prefrontal functions, such as selectivity and inhibitory<br />
control. We present evidence indicating that infants and young children<br />
learn complex categories when selectivity is not required, whereas learning<br />
fails when selectivity or inhibitory control is required.<br />
11:00–11:15 (322)<br />
Categorization and Perception <strong>of</strong> Similarity in Pigeons. OLGA F.<br />
LAZAREVA, Drake University<strong>—</strong>The ability to categorize objects and