Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
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Posters 3112–3119 Friday Evening<br />
(3112)<br />
Behavior Guiding Perception: <strong>The</strong> Visual, Verbal, and Haptic Reports<br />
of Trained and Untrained Observers. ELIZABETH A.<br />
CAMPBELL & DAVID L. CARPENTER, St. Bonaventure University—<br />
Glider pilots, at some point, learn how to judge glide slope, yet it is<br />
unclear exactly how this is learned. Research has shown different levels<br />
of accuracy for different response modes in judging slopes. This<br />
study attempted to determine which modality is the most accurate.<br />
Another contradiction this study examined was that previous research<br />
shows differing glide slopes at which individuals perform the most accurately.<br />
Finally, it has been theorized that behavior causes perception,<br />
rather than the reverse, which perceptual-matching tasks exemplify<br />
and this study attempted to test. This study compared the judgment of<br />
glide slope for untrained and trained observers, while also examining<br />
the difference between three modes for responding: haptic (touch)<br />
perceptual matching, visual perceptual matching, and verbal reports<br />
of visual judgments for five glide slopes (25:1, 20:1, 12.5:1, 10:1,<br />
5:1). It was determined that training has a significant effect on slope<br />
only within the verbal condition at the optimal slope, the 12.5:1 slope.<br />
(3113)<br />
Sampling and Choice Under Competition for Resources. RUSSELL<br />
C. BURNETT, YAAKOV KAREEV, & JUDITH AVRAHAMI, Hebrew<br />
University of Jerusalem—In such diverse contexts as stock trading and<br />
mate selection, choices are often made under competitive conditions<br />
where collecting more information about options incurs higher risk of<br />
losing desirable options to competitors. We examined how people approach<br />
this tradeoff between goodness of evidence and availability of<br />
options by having participants sample from urns containing different<br />
proportions of winning chips. <strong>The</strong> first to stop sampling and select an<br />
urn received payment based on the proportion of winning chips in that<br />
urn, leaving the other participant to receive payment based on a remaining<br />
urn. Preliminary findings include the following: (1) Competition<br />
for resources led people to make large sacrifices in goodness of<br />
evidence. (2) Nevertheless, people were not less confident in their decisions<br />
under competition. (3) People exhibited a tendency to sample<br />
from an urn that a competitor had not recently sampled from, apparently<br />
seeking out private knowledge.<br />
(3114)<br />
Understanding Randomness: Errors of Judgment in the Generation<br />
of Random Sequences. SUSAN F. BUTLER & RAYMOND S. NICK-<br />
ERSON, Tufts University (sponsored by Raymond S. Nickerson)—<strong>The</strong><br />
generation of random sequences has been used as a means of demonstrating<br />
participants’ misunderstandings of randomness. Critical criteria<br />
for comparison were generated from both computer simulations<br />
and actual flips of real coins. In either case, the sequences generated<br />
by participants were significantly different from the critical criteria<br />
for randomness generated by either the computer simulation or the<br />
coin tosses.<br />
(3115)<br />
Optimal Predictions in Everyday Cognition. THOMAS L. GRIF-<br />
FITHS, Brown University, & JOSHUA B. TENENBAUM, Massachusetts<br />
Institute of Technology (sponsored by Joshua B. Tenenbaum)—<br />
Human perception and memory are often explained as an optimal<br />
statistical inference, informed by accurate prior probabilities. In contrast,<br />
cognitive judgments are usually viewed as following error-prone<br />
heuristics, insensitive to priors. We examined the optimality of human<br />
cognition in a more realistic context than those in typical laboratory<br />
studies, asking people to make predictions about the duration or extent<br />
of everyday phenomena, such as human life spans, the box-office<br />
take of movies, or how long they might wait for a bus. Our results suggest<br />
that everyday cognitive judgments follow the same optimal statistical<br />
principles as perception and memory and reveal a close correspondence<br />
between people’s implicit probabilistic models and the<br />
statistics of the world.<br />
104<br />
(3116)<br />
<strong>The</strong> Influence of Pre- Versus Postdecisional Advice on Likelihood<br />
Estimates. DAVID G. SMITH, JOSEPH V. BARANSKI, MATTHEW J.<br />
DUNCAN & DAVID R. MANDEL, Defence R&D Canada—When<br />
making judgments in complex and ambiguous environments, people<br />
often have the option of consulting an advisor. We report an experiment<br />
examining how novices make judgments in a naval air threat assessment<br />
simulation. On each trial, the participant integrates a series<br />
of probabilistic cues in an attempt to determine the likelihood that an<br />
aircraft is hostile (as opposed to friendly). We manipulated whether<br />
advice is given before or after the participant’s initial judgment. Our<br />
results demonstrate that advice has a stronger impact on the final<br />
judgment if it is given after the participant’s initial judgment. We discuss<br />
hypotheses as to why the timing of advice has a strong effect and<br />
explore implications.<br />
(3117)<br />
<strong>The</strong> Comparison-to-the-Strongest Heuristic in the Frequency Format.<br />
KUNINORI NAKAMURA & KIMIHIKO YAMAGISHI, Tokyo<br />
Institute of Technology—Recent studies have revealed that probability<br />
judgment is often sensitive to variations in how alternative outcomes<br />
are distributed, even when such variation have no bearing on<br />
the objective probability of the focal outcome. Windschitl and Wells<br />
(1998) pointed out that people use the comparison-to-the-strongest<br />
heuristic in probability judgment. In a typical task in these studies,<br />
participants answered how they felt about their chances of winning the<br />
gamble by single-event likelihood. This study investigated whether<br />
people use the comparison-to-the-strongest heuristic when questions<br />
of probability judgments are provided by frequency format (“If you<br />
play this gamble 100 times, how often would you feel you win this<br />
gamble?”). Participants estimated their winning probabilities of the<br />
gamble, and the type of the question formats were manipulated (“If<br />
you play this gamble 1 time/10 times/100 times”). <strong>The</strong> results indicated<br />
that the use of frequency format reduced the use of the<br />
comparison-to-the-strongest heuristics.<br />
(3118)<br />
Unbending the Inverse S-Shape: Testing an Adaptive Explanation<br />
for Probability Weighting. JING QIAN & GORDON D. A. BROWN,<br />
University of Warwick (sponsored by Evan Heit)—<strong>The</strong> probability<br />
weighting function (PWF) in prospect theory (Kahneman & Tversky,<br />
1979) has received considerable empirical support but, arguably, lacks<br />
independent motivation. This paper offers an adaptive account for<br />
probability weighting, suggesting that the observed PWF may reflect<br />
the asymmetrical and bimodal distribution of probabilities encountered<br />
in typical experiments and in the natural world. On the basis of<br />
range frequency theory (Parducci, 1963, 1995), it is predicted that the<br />
extent of the over- and underweighting of probabilities directly reflects<br />
the density distribution of experienced contextual probabilities. In Experiment<br />
1, this hypothesis is confirmed by modeling rated everyday<br />
occurrence frequencies of 99 probabilities. In Experiment 2, we collected<br />
subjective probabilities derived from a simple gambling experiment,<br />
in which the probabilities were samples from a bimodal distribution<br />
in one condition and from a unimodal distribution in another.<br />
<strong>The</strong> results again support the hypothesis.<br />
(3119)<br />
Context-Specific Schemata Affect Judgments of Witness Credibility.<br />
PAULA J. WADDILL, RICHARD ARLEDGE, & SHANNON MC-<br />
BRIDE, Murray State University—Judgments of others’ emotional reactions<br />
are influenced by the gender of the person displaying the emotion<br />
and the context in which it is displayed. Women are expected to<br />
be more emotional in interpersonal contexts, and men to be more<br />
emotional in achievement contexts (Kelly & Hutson-Comeaux, 1999).<br />
Furthermore, emotional display may result in negative sanctions if the<br />
display is judged inappropriate in degree or form (the emotional doublebind;<br />
Kelly & Hutson-Comeaux, 2000). In a set of two experiments,