Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
Abstracts 2005 - The Psychonomic Society
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Papers 134–141 Saturday Morning<br />
Word Production<br />
Essex Room, Saturday Morning, 8:00–9:40<br />
Chaired by Jens Bölte, Westfälische Wilhelms-Universität, Münster<br />
8:00–8:15 (134)<br />
Categorical Inhibition and Associative Facilitation in Language<br />
Production. JENS BÖLTE, ANNETT JORSCHICK, & PIENIE ZWIT-<br />
SERLOOD, Westfälische Wilhelms-Universität, Münster—Associative<br />
effects are rarely investigated in word production research, which focuses<br />
on categorical and phonological effects. We investigated different<br />
types of associative relation (part–whole, location, and feature) in a<br />
picture–word interference experiment, which also included distractors<br />
that were categorically related to the pictures. <strong>The</strong> particular associations<br />
used were not due to collocations, as was shown in a lexical database<br />
analysis. <strong>The</strong> impact of associative and categorical distractors<br />
was assessed relative to a baseline with unrelated distractors. Associatively<br />
related distractors facilitated picture naming irrespective of<br />
the type of relation; categorically related distractors, however, produced<br />
inhibition. We explain the different direction and time course<br />
of effects in terms of the ways in which associative and semantic distractors<br />
are linked with the picture’s concept and lexical entry.<br />
8:20–8:35 (135)<br />
Are Age-of-Acquisition Effects in Object Naming Simply Due to Differences<br />
in Object Recognition? PATRICK BONIN, ALAIN MÉOT<br />
& MARYLÈNE CHALARD, Université Blaise Pascal, & CHRISTO-<br />
PHER BARRY, University of Essex—Levelt (2002) argued that effects<br />
of word frequency and age of acquisition (AoA) reported in recent<br />
picture-naming studies might be due to confounded effects operating<br />
at the level of object recognition, rather than being relevant to theories<br />
of lexical retrieval. In order to investigate this issue, AoA effects<br />
were examined in an object recognition memory task (Experiments 1<br />
and 2) and in a word–picture verification task (Experiment 3) and<br />
were compared with those found for naming the same pictures. Contrary<br />
to Levelt’s concerns, the results of the three experiments show<br />
that the AoA effect in picture naming has a lexical origin and does not<br />
simply result from a possible confound of object identification times.<br />
8:40–8:55 (136)<br />
Capacity Demands in Word Production. ANTJE S. MEYER & AMY<br />
FLAVELL, University of Birmingham—<strong>The</strong> received view in the speech<br />
production literature is that only conceptual planning, but not lexical<br />
retrieval processes, require processing capacity. However, using a<br />
dual-task paradigm (naming of pictures accompanied by related or unrelated<br />
distractor words + tone discrimination), Ferreira and Pashler<br />
(2002, JEP:LMC) showed that the retrieval of lexical–semantic units<br />
required processing capacity, whereas the retrieval of the corresponding<br />
phonological segments appeared to be an automatic process: Picturenaming<br />
and tone discrimination latencies were longer after semantically<br />
related than after unrelated distractors, but phonological relatedness<br />
affected only the picture-naming, but not the tone discrimination, latencies.<br />
In Experiment 1, we replicated these results. However, in Experiment<br />
2, we used distractor pictures instead of words and found<br />
phonological effects for the tone discrimination, as well as the picturenaming,<br />
latencies. <strong>The</strong> methodological and theoretical implications of<br />
these findings will be discussed.<br />
9:00–9:15 (137)<br />
<strong>The</strong> Fate of Nonproduced Picture Names. NIELS O. SCHILLER,<br />
Maastricht University, NINA GROTEN, University of Bonn, & INGRID<br />
K. CHRISTOFFELS, Maastricht University—A series of picture–word<br />
interference experiments is presented that investigate whether or not<br />
pictures are phonologically encoded even though their names are not<br />
pronounced. In an associate naming task, Dutch participants saw pictures<br />
(e.g., of a cow; “koe” in Dutch) and were asked to name an associate<br />
(e.g., “melk,” milk). Distractor words were semantically related<br />
(e.g., “ezel,” donkey), phonologically related (e.g., “koek,”<br />
22<br />
cookie), or unrelated to the picture name (e.g., “appel,” apple). Results<br />
showed shorter response latencies in both the semantic and the phonological<br />
conditions. <strong>The</strong>se results can be accounted for by interactive<br />
and serial models (via cohort activation—i.e., “koek” activates “koe”)<br />
of language production. In a second experiment, end-related phonological<br />
distractors (e.g., “taboe,” taboo) were used, and again phonological<br />
facilitation was obtained. This result makes an account in<br />
terms of cohort activation more unlikely and favors an interactive activation<br />
account.<br />
9:20–9:35 (138)<br />
Picture Naming: <strong>The</strong> Role of Target Learning. PATRIZIA TABOSSI,<br />
Università di Trieste, & SIMONA COLLINA, Università degli Studi<br />
Suor Orsola Benincasa—In the classic Stroop effect, naming the ink<br />
color of a written word (e.g., red) takes longer if the word refers to the<br />
same, rather than to a different, color (e.g., red vs. green). Similar effects<br />
obtain when the color of the Stroop stimulus is replaced by a picture.<br />
However, unlike the classic Stroop research, picture–word interference<br />
studies are typically preceded by a learning phase, during<br />
which participants learn the names of the pictures that they will have to<br />
produce during the experiment. <strong>The</strong> effects of this procedure on task<br />
performance are explored in a series of experiments. <strong>The</strong> implications<br />
of the results for current models of word production are discussed.<br />
Memory Processes I<br />
Grand Ballroom East, Saturday Morning, 8:00–9:40<br />
Chaired by Michael J. Kahana, University of Pennsylvania<br />
8:00–8:15 (139)<br />
Associative Processes in Episodic Memory. MICHAEL J. KAHANA,<br />
University of Pennsylvania—Although traditionally studied using<br />
paired associates, interitem associations can also help describe data<br />
on free recall and serial recall tasks. I present new data on the role of<br />
temporally defined associations in item recognition and in the pattern<br />
of errors (false memories) committed in free and cued recall tasks. I<br />
show how the interplay of temporal and semantic associations gives<br />
rise to subjective organization over the course of learning. Finally, I<br />
discuss these findings within the framework of a new version of the<br />
temporal context model (TCM).<br />
8:20–8:35 (140)<br />
<strong>The</strong> Mirror Effect and the Spacing Effect. BENNET MURDOCK,<br />
University of Toronto—<strong>The</strong> mirror and spacing effects are two rather<br />
surprising effects found in simple item-recognition–memory studies.<br />
<strong>The</strong>y illustrate a “leapfrog” effect where a weaker or older item jumps<br />
over a stronger or more recent item after a single presentation. I recently<br />
proposed a simple model based on a linear combination of excitatory,<br />
inhibitory, and context factors that was able to fit the data reasonably<br />
well with the same parameter values for both effects. I report<br />
the results of several experiments dealing with the spacing effect for<br />
low- and high-frequency words that were roughly consistent with the<br />
predictions of the model.<br />
8:40–8:55 (141)<br />
Are Frequency Effects Due to Frequency? ANGELA B. NELSON<br />
& RICHARD M. SHIFFRIN, Indiana University (read by Richard M.<br />
Shiffrin)—Word frequency effects are pervasive in explicit and implicit<br />
memory: In different tasks, higher frequency sometimes produces<br />
better performance and sometimes worse. However, words that<br />
differ in frequency differ in essentially every other word characteristic<br />
that can be measured (length, spelling, concreteness, and so on),<br />
making it hard to assess the role of past experience per se. We trained<br />
observers to search for Chinese characters in a visual search task, for<br />
12 sessions. Different characters were given different degrees of training.<br />
We demonstrated differential learning by a differential reduction<br />
in slope and intercept. In one transfer task, we tested episodic recognition,<br />
showing an advantage for low-frequency characters and a mir-