Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
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Thursday Evening Posters 1021–1028<br />
stead of spoken digits, and (2) a constant level of difficulty but a manipulation<br />
of the relative monetary rewards for the visual versus auditory<br />
tasks. Accuracy on each task increased with higher rewards,<br />
and we observed performance tradeoffs indicating that central attention<br />
is used as storage.<br />
(1021)<br />
Context Maintenance and Working Memory Capacity. THOMAS<br />
REDICK & RANDALL W. ENGLE, Georgia Institute of Technology—<br />
Individual differences in working memory capacity (WMC) are important<br />
in a variety of memory, attention, and intelligence tasks. Engle<br />
and Kane (2004) proposed an account of WMC based upon the ability<br />
to maintain goals and resolve response competition. Interestingly,<br />
Braver, Barch, and Cohen (2002) have proposed a similar theory to<br />
explain cognitive impairments seen in schizophrenia, Alzheimer’s disease,<br />
and aging. We tested high and low spans on the AX-CPT in order<br />
to compare the controlled-attention view of WMC and the contextmaintenance<br />
view of schizophrenia and aging. <strong>The</strong> results were partially<br />
consistent with the idea that low spans suffer from impaired context<br />
representation, but performance differed in meaningful ways<br />
from what would be predicted from a strict context-maintenance view.<br />
<strong>The</strong> results are consistent with the notion that high and low spans differ<br />
in their ability to control attention, even on a task modified to reduce<br />
attentional demands.<br />
(1022)<br />
Individual Difference in Change Detection. SCOTT D. BROWN &<br />
MARK STEYVERS, University of California, Irvine (sponsored by<br />
Mark Steyvers)—We measure the ability of human observers to predict<br />
the next datum in a sequence that is generated by a simple statistical<br />
process undergoing change at random points in time. Accurate<br />
performance in this task requires the identification of changepoints.<br />
We assess individual differences between observers both empirically<br />
and using two kinds of models: a Bayesian approach for change detection<br />
and a family of cognitively plausible fast and frugal models.<br />
Some individuals detect too many changes and hence perform suboptimally<br />
because of excess variability. Other individuals do not detect<br />
enough changes, and perform suboptimally because they fail to<br />
notice short-term temporal trends.<br />
(1023)<br />
Controlled Attention as a Mechanism for Processing Inefficiency<br />
Among Math Anxious Individuals. J. RUDINE & DOUGLAS A.<br />
WARING, Appalachian State University—Cognitive deficits associated<br />
with math anxiety are often explained using processing efficiency theory,<br />
suggesting that working memory becomes inundated with worrisome<br />
thoughts impeding task performance. One drawback to this theory<br />
is the lack of a specific mechanism through which these deficits are<br />
produced. <strong>The</strong> controlled attention view of working memory may offer<br />
a solution to this problem. This view proposes that individuals with<br />
lower WM capacity have more difficulty inhibiting distracting cues and<br />
focusing on a task than do individuals with higher WM capacities. <strong>The</strong><br />
present study used the antisaccade task to assess math anxious individuals’<br />
ability to inhibit distracting information. Analysis of reaction<br />
times and accuracy rates indicated that high math anxiety individuals<br />
were slower and less accurate than low math anxiety individuals on trials<br />
requiring inhibition. Contrary to predictions, reflexive trials took<br />
longer than inhibition trials. Possible reasons for these counterintuitive<br />
results and implications for future research are discussed.<br />
(1024)<br />
Working Memory Capacity Predicts Attentional Blink. M. KATH-<br />
RYN BLECKLEY, ALLISON R. HOLLINGSWORTH, & WILLIAM<br />
S. MAKI, Texas Tech University—Working memory capacity (WMC)<br />
has predicted performance in a number of attention tasks (Kane,<br />
Bleckley, Conway, & Engle, 2001; Kane & Engle, 2002), and working<br />
memory has been suggested as the limiting mechanism in attentional<br />
blink (AB; Chun & Potter, 1995; Giesbrecht & Di Lollo, 1998;<br />
55<br />
Vogel & Luck, 2002). We present here a study that supports the contention<br />
that WMC is the limiting mechanism in AB.<br />
(1025)<br />
Eye Movements in the Reading Span Task. JOHANNA K. KAAKI-<br />
NEN, Florida State University, & JUKKA HYÖNÄ, University of<br />
Turku—<strong>The</strong> present study examined eye movement patterns during<br />
the reading span task (Daneman & Carpenter, 1980). <strong>The</strong> results<br />
showed that in low memory load conditions there were very few differences<br />
between low and high span groups. However, when we compared<br />
the different span groups at their maximum performance levels,<br />
we found that participants with lower spans tended to pause on the<br />
first word of the sentence, whereas participants with the highest spans<br />
did not spend extra time on the first word. Span groups did not differ<br />
in the time spent on the to-be-remembered word. In contrast to previous<br />
findings (Carpenter & Just, 1989; Engle, Cantor, & Carullo,<br />
1992), these results indicate that performance differences in the reading<br />
span task cannot be accounted for by the time spent on the to-beremembered<br />
information.<br />
(1026)<br />
<strong>The</strong> Relationships of Auditory Distraction and Measures of Working<br />
Memory. JILL A. SHELTON, EMILY M. ELLIOTT, SHARON D.<br />
LYNN, & THOMAS J. DOMANGUE, Louisiana State University—<br />
Recent research has examined the relationship between auditory distraction<br />
effects in serial recall and working memory (WM). <strong>The</strong> purposes<br />
of the present study were to expand upon this research by<br />
examining the effect of auditory distractions on the performance of one<br />
WM task and to assess the relationships among three WM tasks. Participants<br />
completed the operation–word span, size judgment span, and<br />
n-back tasks. In the control condition, participants completed all tasks<br />
without auditory distraction. In the treatment condition, a cell phone<br />
rang during one specific trial of the size judgment span task. Comparisons<br />
were made between this trial in the treatment condition and the<br />
same trial in the control condition, and the results revealed that the cell<br />
phone ring significantly disrupted performance on this trial in the treatment<br />
condition. In addition, correlational analyses demonstrated that<br />
performance on all three WM tasks was significantly correlated.<br />
(1027)<br />
<strong>The</strong> Word Length Effect and Stimulus Set Specificity. TAMRA J.<br />
BIRETA, IAN NEATH, & AIMÉE M. SURPRENANT, Purdue University—Lists<br />
of items that take less time to pronounce are recalled<br />
better than otherwise equivalent lists of items that take more time to<br />
pronounce, the so-called word length effect. Contrary to theories<br />
based on the phonological loop, Hulme et al. (2004) found that long<br />
items presented in a list with short items were recalled as well as were<br />
short items presented in a list of only short items. In contrast, Cowan<br />
et al. (2003) found that long items in mixed lists were recalled less<br />
well than short items in pure lists. <strong>The</strong> experiments reported here suggest<br />
that the different empirical findings are due to particular properties<br />
of the stimulus sets used: one stimulus set produces results that<br />
replicate the findings of Cowan et al., whereas all other sets so far<br />
tested yield results that replicate the findings of Hulme et al.<br />
(1028)<br />
Age-Related Differences in the Phonological Similarity Effect: <strong>The</strong><br />
Contribution of Sensory Acuity. AIMÉE M. SURPRENANT, LISA A.<br />
FARLEY, & IAN NEATH, Purdue University—<strong>The</strong> experiments reported<br />
here explore age-related differences in recall of phonologically<br />
similar and dissimilar items in pure and mixed lists. In addition to<br />
basic sensory acuity, movement, transposition, and confusion errors<br />
were examined in order to model the data from the two groups. Sensory<br />
acuity accounted for some, but not all, of the variance, particularly<br />
in the similar conditions. <strong>The</strong>se data suggest that multiple nonlinear<br />
interactions among factors underlie age-related differences in<br />
memory performance and reinforce the usefulness of simulation<br />
modeling in the area of cognitive aging.