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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.

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