29.01.2013 Views

Abstracts 2005 - The Psychonomic Society

Abstracts 2005 - The Psychonomic Society

Abstracts 2005 - The Psychonomic Society

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Saturday Morning Papers 182–187<br />

mantically related lure probes were consistently mistaken as members<br />

of the memory set. Related lures took longer to correctly reject than<br />

did unrelated negative probes, suggesting interference due to the semantic<br />

relatedness of the lure. <strong>The</strong> false working memory effect on<br />

accuracy increased when a distractor task performed during the retention<br />

interval interfered with subvocal rehearsal. Our results demonstrate<br />

the existence of “false” working memories and suggest that the<br />

working memory system is highly susceptible to rapid distortion, presumably<br />

due to the effects of spreading semantic activation.<br />

11:20–11:35 (182)<br />

Proactive Interference Slows Retrieval in Recognition Memory by<br />

Eliminating Fast Assessments of Familiarity. BRIAN MCELREE &<br />

ILKE ÖZTEKIN, New York University—<strong>The</strong> response signal speed–<br />

accuracy tradeoff procedure was used to investigate how proactive interference<br />

(PI) affects retrieval from working memory. Participants<br />

were presented with six-item study lists, followed by a recognition<br />

probe. A classic release from PI procedure was used: All items in a<br />

list were from the same category (e.g., fruits), and the category was<br />

changed (e.g., tools) after three consecutive trials with the same category.<br />

Analysis of the retrieval functions demonstrated that PI decreased<br />

asymptotic accuracy and, crucially, also decreased the growth<br />

of accuracy over retrieval time, indicating that PI slowed retrieval<br />

speed. Analysis of false alarms to recent negatives (lures drawn from<br />

the previous study list) and distant negatives (lures not studied for<br />

168+ trials) demonstrated that PI slows retrieval by selectively eliminating<br />

fast assessments based on familiarity. <strong>The</strong>re was no evidence<br />

indicating that PI affects recollection.<br />

11:40–11:55 (183)<br />

Working Memory and Mathematical Computation: Does Problem<br />

Representation Shift With Increasing Expertise? SHAKTHI D.<br />

KUMAR, Michigan State University, SIAN L. BEILOCK, University<br />

of Chicago, & THOMAS H. CARR, Vanderbilt University (read by<br />

Thomas H. Carr)—<strong>The</strong> representation of mental arithmetic in working<br />

memory has been shown to vary as a function of a number of factors<br />

(e.g., presentation orientation, duration, modality). We investigated<br />

whether math skill level also affects working memory representation,<br />

using a selective interference paradigm. Participants solved complex<br />

mental arithmetic problems under three conditions: single-task baseline,<br />

dual-task performance with a verbal concurrent task requiring<br />

overt repetition of heard words, and dual-task performance with a visuospatial<br />

concurrent task requiring joystick movement in the directions<br />

indicated by visually presented arrows. Baseline math performance<br />

predicted patterns of selective interference. At lower levels of<br />

math skill, the relative amount of verbal dual-task interference was<br />

greater than visuospatial dual-task interference. At higher skill levels,<br />

this pattern was reversed. <strong>The</strong>se results demonstrate that problem representation<br />

varies not only as a function of the constraints imposed by<br />

the problems themselves, but also as a function of constraints imposed<br />

by the performers solving the problems.<br />

Metacognition<br />

Dominion Ballroom, Saturday Morning, 10:20–12:00<br />

Chaired by Christopher Hertzog, Georgia Institute of Technology<br />

10:20–10:35 (184)<br />

Metacognition and the Updating of Strategy Knowledge From Task<br />

Experience. CHRISTOPHER HERTZOG, AILIS BURPEE, & JODI<br />

PRICE, Georgia Institute of Technology, & JOHN DUNLOSKY, Kent<br />

State University—We studied learning about the differential effectiveness<br />

of two strategies (rote repetition and interactive imagery) for mediating<br />

paired-associate learning, using metacognitive judgments and<br />

questionnaire ratings to measure strategy knowledge acquisition for<br />

two recall trials. Do people learn that interactive imagery produces superior<br />

recall? Task goal (control, goal intention, or goal implementation)<br />

instructions and recall presentation type (random vs. blocked)<br />

29<br />

were manipulated to see whether explicitly instructing participants to<br />

learn about the strategies or providing strategy-homogeneous blocks<br />

of PA recall would result in improved absolute accuracy of participants’<br />

monitoring. <strong>The</strong> joint manipulation of goal intention instructions<br />

and blocked testing resulted in the best absolute accuracy for<br />

participants’ global predictions. Blocked testing improved the absolute<br />

accuracy of performance monitoring (global postdictions). Participants’<br />

judgments of learning were unaffected and showed limited<br />

knowledge updating. Ratings of strategy effectiveness before and after<br />

task experience yielded substantial knowledge updating effects not<br />

fully reflected in metacognitive judgments.<br />

10:40–10:55 (185)<br />

<strong>The</strong> Strategic Regulation of Memory Reporting: Monitoring and<br />

Control of Informativeness. MORRIS GOLDSMITH, ASHER KO-<br />

RIAT, RAKEFET ACKERMAN, & AINAT PANSKY, University of<br />

Haifa—Rememberers do not report all items of information that come<br />

to mind. Rather, they use metacognitive monitoring and control<br />

processes to decide whether to report the item (report option) and, if<br />

so, at what level of precision–coarseness (grain size). Previous work<br />

on control of grain size (Goldsmith et al., 2002, <strong>2005</strong>) supported a<br />

“satisficing” model, in which people trade informativeness for accuracy,<br />

coarsening their answers until subjective probability-correct<br />

passes a preset accuracy criterion. What happens, however, when satisfying<br />

the accuracy criterion requires a ridiculously coarse, uninformative<br />

answer? New results suggest that an “informativeness criterion”<br />

must also be satisfied: When the quality of memory is<br />

insufficient to simultaneously satisfy both criteria, the accuracy criterion<br />

may be violated, or, given report option, a “don’t-know” response<br />

may be preferred. <strong>The</strong> results point to a unified model of report<br />

option and grain regulation that includes monitoring and control<br />

of informativeness in accordance with social-pragmatic norms.<br />

11:00–11:15 (186)<br />

Metacognitive Processes Underlying the Inflation of Conditional<br />

Predictions. ASHER KORIAT, University of Haifa, KLAUS FIEDLER,<br />

University of Heidelberg, & ROBERT A. BJORK, UCLA—Several experiments<br />

will be reported that indicate that conditional predictions—<br />

the assessed probability that a certain specified outcome will occur,<br />

given a certain specific condition—tend to be markedly inflated. <strong>The</strong><br />

results suggest that prediction inflation derives, in part, from a backward<br />

activation process in which the specified outcome highlights aspects<br />

of the condition that support the likelihood of occurrence of that<br />

outcome. One consequence is that alternative outcomes do not compete<br />

as fully as they should. Another is that the inflation of conditional<br />

predictions is resistant to manipulations that induce participants to<br />

consider alternatives to the target outcome. <strong>The</strong> results illustrate the<br />

contributions of a posteriori associations to metacognitive biases—<br />

especially foresight bias (Koriat & Bjork, <strong>2005</strong>)—which act to induce<br />

overconfidence in monitoring one’s knowledge during study.<br />

11:20–11:35 (187)<br />

Separating Bias and Sensitivity in Judgments of Associative Memory.<br />

WILLIAM S. MAKI, Texas Tech University—Human subjects overestimate<br />

the associative strength binding a pair of words. We have<br />

found that a linear function relates numerical estimates (JAM) to associative<br />

strength obtained from free association norms (FSG);<br />

roughly, JAM = 50 + 0.4 FSG. This JAM function is characterized by<br />

a high intercept (overestimation bias) and a shallow slope (diminished<br />

sensitivity to associative differences). In Experiment 1, subjects were<br />

trained with error-correcting feedback on many pairs of words. No effects<br />

on the slope were found, but lower intercepts were shown by<br />

those groups who received training and feedback instructions. In Experiment<br />

2, subjects simultaneously rated four associates of each cue<br />

word, but ratings were constrained to add to 100%. Despite the<br />

(forced) reduction in bias, the slope remained shallow. <strong>The</strong> invariance<br />

of the slope is the basis for concluding that low sensitivity is not<br />

merely a ceiling effect caused by the bias.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!