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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-

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