Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
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Papers 48–53 Friday Morning<br />
view that older adults’ reduced source memory causes their false<br />
memories. That is, we observed that even when older and younger<br />
adults showed equivalent source accuracy for all item types, older<br />
adults were still more than twice as likely as their younger counterparts<br />
to claim that they had witnessed events in a video that were only<br />
suggested in a questionnaire. Moreover, older adults were most likely<br />
to commit suggestibility errors when they were most confident about<br />
the correctness of their response, whereas their younger counterparts<br />
committed these errors only when they were uncertain about the accuracy<br />
of their response. <strong>The</strong>se results exactly fit the predictions of a<br />
vivid false recollection hypothesis about the effects of cognitive aging<br />
on episodic memory.<br />
Psycholinguistics<br />
Grand Ballroom West, Friday Morning, 10:20–12:00<br />
Chaired by Sam Glucksberg, Princeton University<br />
10:20–10:35 (48)<br />
Understanding Novel Metaphors: When Comparison Fails. SAM<br />
GLUCKSBERG & CATRINEL HAUGHT, Princeton University—<br />
Bowdle and Gentner recently argued that novel metaphors are invariably<br />
understood as comparisons, whereas conventional ones can be<br />
understood either as comparisons or as categorizations. We show that<br />
whether a metaphor is understood as a comparison or as a categorization<br />
depends on the relative aptness of the two forms. Using a<br />
novel adjectival modification paradigm, we show that novel metaphors,<br />
such as “billboards are advertising warts,” can be understood as categorizations<br />
but are anomalous as comparisons. We also show that<br />
some metaphors and their corresponding similes have distinctly different<br />
interpretations. <strong>The</strong>se findings lead to the conclusion that comparison<br />
theories of metaphor are fundamentally flawed.<br />
10:40–10:55 (49)<br />
<strong>The</strong> Processing of Novel Metaphors by the Two Cerebral Hemispheres.<br />
MIRIAM FAUST & NIRA MASHAL, Bar-Ilan University,<br />
TALMA HENDLER, Wohl Institute for Advanced Imaging, Sourasky<br />
Medical Center, Tel-Aviv, ABRAHAM GOLDSTEIN & YOSSI AR-<br />
ZOUAN, Bar-Ilan University, & MARK JUNG-BEEMAN, Northwestern<br />
University—Some research indicates that the right cerebral<br />
hemisphere (RH) plays a unique role in comprehending the figurative<br />
meaning of metaphors, whereas the results of other studies do not support<br />
the notion of a selective role for the RH in accessing metaphorical<br />
meanings. In the present research, participants were presented<br />
with four types of word pairs—literal, conventional metaphoric, novel<br />
metaphoric, and unrelated—and were asked to decide whether each<br />
expression was meaningful or not. <strong>The</strong> findings of behavioral and<br />
ERPs experiments suggest that the RH contributes significantly to the<br />
processing of novel metaphoric expressions. Furthermore, the results<br />
of an fMRI experiment show that a unique network, consisting of the<br />
right homologue of Wernicke’s area, the left and right premotor areas,<br />
the right and left insula, and Broca’s area, is recruited for the processing<br />
of novel metaphors, but not for the processing of conventional<br />
metaphors.<br />
11:00–11:15 (50)<br />
Determinants of Speed of Processing Effects on Spoken Idiom<br />
Comprehension. CRISTINA CACCIARI & ROBERTO PADOVANI,<br />
University of Modena—Using a cross-modal lexical decision paradigm,<br />
we investigated the extent to which individual speed of processing<br />
(SOP) affected spoken language comprehension in languageunimpaired<br />
participants when the sentence contained a semantically<br />
ambiguous Italian idiom (e.g., “break the ice”) embedded in an idiomrelated<br />
context. To differentiate among sensorimotor speed components,<br />
cognitive speed components, and personality-based components,<br />
we investigated the main factors that might account for the<br />
differences in idiom activation latencies between fast versus slow participants.<br />
<strong>The</strong> participants enrolled in the cross-modal study were pre-<br />
8<br />
sented with a battery of tests assessing (1) the SOP in nonlinguistic<br />
tasks, (2) the ability to inhibit irrelevant information, (3) the role of<br />
verbal working memory components, (4) word recognition, lexical access,<br />
and reading abilities, (5) nonverbal intelligence, and (6) personality<br />
structure and anxiety level. <strong>The</strong> speed with which idiomatic<br />
meanings were activated was modulated by phonological, semantic,<br />
memory-based, and personality components.<br />
11:20–11:35 (51)<br />
Laughter in Bill Clinton’s My Life (2004) Interviews. DANIEL C.<br />
O’CONNELL, Georgetown University, & SABINE KOWAL, Technical<br />
University of Berlin—Two types of laughter of Bill Clinton and his<br />
interviewers—as an overlay of words spoken laughingly and as laughter<br />
of the ha-ha sort—were investigated in 13 media interviews given<br />
after the publication of his memoirs. His laughter was found to be predominantly<br />
an overlay of words spoken laughingly, whereas Hillary<br />
Clinton’s had been found to be largely of the ha-ha type (O’Connell<br />
& Kowal, 2004). <strong>The</strong> presence of interviewers’ laughter disallowed<br />
neutralism on their part. Ha-ha laughter occurred as interruption or<br />
back channeling 30% of the time and, hence, did not necessarily punctuate<br />
speech during pauses at the end of phrases and sentences (Provine,<br />
1993). Laughter did not follow upon “banal comments” (Provine, 2004,<br />
p. 215) nor reflect either “nonseriousness” (Chafe, 2003a, 2003b) or<br />
uncensored spontaneity (Provine, 2004, p. 216). Instead, laughter reflected<br />
the perspective of interviewer and/or interviewee and was used<br />
as a deliberate, sophisticated, and rhetorical device.<br />
11:40–11:55 (52)<br />
Comprehending Stuttered Speech in Different Referential Contexts.<br />
MICHELLE F. LEVINE & MICHAEL F. SCHOBER, New School for<br />
Social Research (read by Michael F. Schober)—How do listeners comprehend<br />
stuttered speech? In an experiment, listeners selected one of<br />
two squares on a computer screen on the basis of recorded instructions<br />
produced by a person who stuttered. <strong>The</strong> instructions consisted of naturally<br />
occurring stutters with repeated initial phonemes (“Pick the<br />
g-g-g-green square”), the same stimuli with stutters excised (“Pick the<br />
green square”) or replaced by pauses of equal length (“Pick the . . .<br />
green square”), and matched fluent instructions by the same speaker.<br />
In general, stutters did not hurt and sometimes speeded comprehension<br />
of the target word, measured from the word’s onset. When the<br />
squares’ colors started with different phonemes (green vs. black), listeners<br />
selected the target more quickly when they heard the stuttered<br />
instruction, as compared with any other version. When colors started<br />
with the same phonemes (green vs. gray), the benefit decreased. As<br />
with some other disfluencies, stutters can actually be informative<br />
about speakers’ intentions, speeding comprehension without loss of<br />
accuracy.<br />
Models of Reasoning<br />
Dominion Ballroom, Friday Morning, 10:20–12:00<br />
Chaired by David J. Bryant, Defence R&D Canada<br />
10:20–10:35 (53)<br />
Heuristic and Bayesian Models for Classification With Uncertain<br />
Cues. DAVID J. BRYANT, Defence R&D Canada—Fast and frugal<br />
heuristics provide potential models for human judgment in a range of<br />
tasks. <strong>The</strong> present research explored whether a fast and frugal heuristic<br />
could successfully model participants’ decision behavior in a simulated<br />
air threat classification task. Participants learned to classify<br />
simulated aircraft, using four probabilistic cues, and then classified<br />
test sets designed to contrast predictions of several heuristics, including<br />
the take-the-best-for-classification (TTB-C) and pros rule, developed<br />
specifically for threat classification. When cues were presented<br />
textually, most participants appeared to use TTB-C or pros rule, but<br />
no participant was observed to respond as predicted by a Bayesian<br />
strategy. In contrast, items presented pictorially resulted in a large proportion<br />
of participants conforming to predictions of the Bayesian