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Abstracts of the Psychonomic Society — Volume 14 — November ...

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Friday Afternoon Papers 89–95<br />

better remembered faces in which <strong>the</strong> eyes were gazing directly at <strong>the</strong>m,<br />

compared with faces in which <strong>the</strong> eyes were averted. High-functioning<br />

children and adolescents with an ASD, and age- and IQ-matched typically<br />

developing controls were shown a series <strong>of</strong> faces. The gaze <strong>of</strong> <strong>the</strong><br />

eyes <strong>of</strong> <strong>the</strong> study faces was ei<strong>the</strong>r direct or averted. We tested memory<br />

for <strong>the</strong>se faces shown with <strong>the</strong>ir eyes closed in a recognition task. The<br />

typically developing group better remembered <strong>the</strong> direct-gaze faces,<br />

whereas <strong>the</strong> ASD participants showed <strong>the</strong> opposite effect. These results<br />

imply that <strong>the</strong>re may be an important link between gaze aversion in ASD<br />

and face recognition abilities.<br />

Working memory<br />

Back Bay Ballroom C, Friday Afternoon, 1:30–3:25<br />

Chaired by Klaus Oberauer, University <strong>of</strong> Zurich<br />

1:30–1:45 (89)<br />

No Evidence for Decay in Verbal Working memory. KLAUS OBER-<br />

AUER, University <strong>of</strong> Zurich, & STEPHAN LEWANDOWSKY, University<br />

<strong>of</strong> Western Australia<strong>—</strong>Why is working memory capacity limited?<br />

One idea is that representations in working memory quickly decay over<br />

time unless rehearsed. Support for this assumption comes from Portrat,<br />

Barrouillet, and Camos (2008, JEP:LMC), who varied <strong>the</strong> difficulty<br />

(and <strong>the</strong>reby duration) <strong>of</strong> a choice task inserted in between memoranda<br />

in a complex-span paradigm, holding <strong>the</strong> time for rehearsal between<br />

choice-task trials constant. They found better memory with easier choice<br />

tasks. We show through reanalysis <strong>of</strong> <strong>the</strong>ir data that <strong>the</strong> effect was not due<br />

to <strong>the</strong> duration <strong>of</strong> people’s choices but to <strong>the</strong>ir errors, which engendered<br />

posterror processing, thus reducing rehearsal time. We present two experiments<br />

using <strong>the</strong> same design as Portrat et al., but with a choice task<br />

that generates no posterror slowing. The manipulation <strong>of</strong> choice-task<br />

difficulty, despite having a substantial effect on processing duration, had<br />

no effect on memory. The results provide evidence against time-based<br />

decay in working memory.<br />

1:50–2:05 (90)<br />

After 50 years, <strong>the</strong> Fate <strong>of</strong> Attention and Working memory Theories.<br />

NELSON COWAN, University <strong>of</strong> Missouri, Columbia<strong>—</strong>Around <strong>the</strong><br />

start <strong>of</strong> <strong>the</strong> <strong>Psychonomic</strong> <strong>Society</strong>, George Miller, Donald Broadbent,<br />

and George Sperling pr<strong>of</strong>oundly inspired experimental psychologists.<br />

Where do <strong>the</strong>ir ideas stand now? I will review basic conclusions <strong>of</strong><br />

<strong>the</strong>ir works in light <strong>of</strong> subsequent research. Miller (1956) wrote <strong>of</strong> <strong>the</strong><br />

“magical number seven” in immediate memory and Miller, Galanter,<br />

and Pribram (1960) described a working memory faculty that maintains<br />

<strong>the</strong> goals <strong>of</strong> cognitive tasks. Broadbent (1958) proposed a simple model<br />

<strong>of</strong> information processing including automatic short-lived storage and<br />

limited-capacity attention, and Sperling (1960) provided stronger evidence<br />

<strong>of</strong> pre- and postattentional memory. I argue that <strong>the</strong>se researchers<br />

established principles that were fundamentally correct, but that <strong>the</strong>y<br />

missed several boundary conditions that must be met to observe three<br />

phenomena: (1) a fixed number <strong>of</strong> chunks in working memory, (2) loss<br />

<strong>of</strong> memory as a function <strong>of</strong> time, and (3) filtering out <strong>of</strong> irrelevant stimuli<br />

at an early stage <strong>of</strong> processing.<br />

2:10–2:25 (91)<br />

Strategic Elimination <strong>of</strong> objects From Visual Working memory.<br />

ASHLEIGH M. RICHARD & ANDREW HOLLINGWORTH, University<br />

<strong>of</strong> Iowa (read by Andrew Hollingworth)<strong>—</strong>The completion <strong>of</strong><br />

many real-world visual tasks requires control over <strong>the</strong> content <strong>of</strong> visual<br />

working memory (VWM). Previously, we reported that participants can<br />

strategically prioritize a task-relevant object in VWM, protecting it from<br />

interference caused by fixations on o<strong>the</strong>r objects. Here, we examined a<br />

second form <strong>of</strong> control: <strong>the</strong> elimination <strong>of</strong> no-longer-relevant items from<br />

VWM. Participants were cued to prioritize one object within a set <strong>of</strong><br />

objects presented serially in a natural scene. On some trials, a second cue<br />

indicated that <strong>the</strong> cued object should be deprioritized, because it would<br />

now be <strong>the</strong> object least likely to be tested. Memory for <strong>the</strong> deprioritized<br />

object was reduced to levels near floor, despite its active maintenance<br />

in VWM for multiple seconds between <strong>the</strong> first and second cue. These<br />

results demonstrate close top-down management <strong>of</strong> <strong>the</strong> content <strong>of</strong> VWM<br />

<strong>14</strong><br />

and <strong>the</strong> ability to strategically eliminate information that is no longer<br />

task relevant.<br />

2:30–2:45 (92)<br />

To Bind or Not To Bind in Visual Short-Term memory: it Depends<br />

on <strong>the</strong> Question. SHRIRADHA SENGUPTA & PAUL VERHAE-<br />

GHEN, Georgia Institute <strong>of</strong> Technology (read by Paul Verhaeghen)<strong>—</strong><br />

We examined time–accuracy functions for encoding into visual shortterm<br />

memory (VSTM). Participants saw a memory set <strong>of</strong> three objects<br />

built from two features (shape and color) and indicated whe<strong>the</strong>r ei<strong>the</strong>r<br />

<strong>the</strong> color or <strong>the</strong> shape <strong>of</strong> a probe object, or <strong>the</strong> whole object itself, had<br />

been present in <strong>the</strong> memory set. In a disjunctive condition, in which <strong>the</strong><br />

negative targets were built from features absent in <strong>the</strong> memory set, all<br />

three time–accuracy functions were identical, showing no binding costs.<br />

Large binding costs were observed in a conjunctive condition, in which<br />

<strong>the</strong> negative targets consisted <strong>of</strong> recombined features from <strong>the</strong> display.<br />

VSTM might <strong>the</strong>n be flexible in how it stores elements<strong>—</strong>as features or as<br />

objects. This position is streng<strong>the</strong>ned by <strong>the</strong> results <strong>of</strong> a third (conjunction)<br />

experiment: The cumulative distribution for whole-object retrieval<br />

times fit <strong>the</strong> expectation for an independent race <strong>of</strong> features. (Data collection<br />

for <strong>the</strong> corresponding disjunction experiment is under way.)<br />

2:50–3:05 (93)<br />

update on <strong>the</strong> ToDAm Working memory model. BENNET B. MUR-<br />

DOCK, University <strong>of</strong> Toronto<strong>—</strong>The TODAM working memory model is<br />

a simulation version <strong>of</strong> <strong>the</strong> Lewandowsky and Murdock (1989) chaining<br />

model for serial-order effects in short-term memory. It deals with recall,<br />

probe tests, item recognition, and serial learning and has been applied to<br />

a variety <strong>of</strong> empirical effects. It uses <strong>the</strong> standard TODAM system architecture<br />

and a four-item working memory buffer in which <strong>the</strong> storage and<br />

retrieval operations (convolution and correlation) are carried out. After a<br />

brief review <strong>of</strong> <strong>the</strong> model, I will present some recent results.<br />

3:10–3:25 (94)<br />

Quantity Not Quality: The Relationship Between Working memory<br />

Capacity and Fluid intelligence. EDWARD AWH, KEISUKE<br />

FUKUDA, EDWARD VOGEL, & ULRICH MAYR, University <strong>of</strong><br />

Oregon<strong>—</strong>A central motivation for understanding capacity in working<br />

memory (WM) is its robust covariance with fluid intelligence (g). Motivated<br />

by recent evidence that <strong>the</strong> number and resolution <strong>of</strong> representations<br />

in WM represent distinct aspects <strong>of</strong> memory ability, we sought<br />

to determine which <strong>of</strong> <strong>the</strong>se factors mediate <strong>the</strong> link with g (measured<br />

using Raven’s and Culture Fair). We carried out an exploratory factor<br />

analysis that included multiple measures <strong>of</strong> number and resolution in<br />

visual WM (n = 79). Consistent with <strong>the</strong> two-factor model, two orthogonal<br />

factors (with no significant cross-loadings) emerged to account for<br />

individual differences in number and resolution. Moreover, although <strong>the</strong><br />

number <strong>of</strong> items stored showed a robust correlation with g (r = .66), no<br />

reliable relationship was observed between mnemonic resolution and<br />

g (r = 2.05). Thus, although both number and resolution are crucial<br />

aspects <strong>of</strong> WM capacity, only number mediates <strong>the</strong> link with standard<br />

measures <strong>of</strong> fluid intelligence.<br />

models <strong>of</strong> Decision making<br />

Back Bay Ballroom D, Friday Afternoon, 1:30–3:25<br />

Chaired by Douglas H. Wedell, University <strong>of</strong> South Carolina<br />

1:30–1:45 (95)<br />

modeling Contextual Dependence <strong>of</strong> Choice in individuals. DOUG-<br />

LAS H. WEDELL, University <strong>of</strong> South Carolina, & SYLVIA FITTING,<br />

Virginia Commonwealth University<strong>—</strong>Participants made 150 trinary<br />

choices in simulated grocery shopping, with each product described by<br />

price and quality rating. Each set included a decoy alternative designed<br />

to alter <strong>the</strong> preference relationship between <strong>the</strong> o<strong>the</strong>r two alternatives in<br />

<strong>the</strong> set. Each participant’s choices were fit by a series <strong>of</strong> models using a<br />

common response function and weighted additive integration <strong>of</strong> dimensional<br />

values along with contextual valuation parameters that captured<br />

(1) rank valuing, (2) dominance valuing, (3) tied dominance valuing,<br />

(4) loss valuing, and (5) compromise valuing. These value processes

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