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Abstracts 2005 - The Psychonomic Society

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Sunday Morning Papers 300–306<br />

Maggie Shiffrar)—Why do people demonstrate impressive visual sensitivity<br />

to human action? Visual expertise theories suggest that this<br />

sensitivity reflects a lifetime of experience watching other people<br />

move. Motor experience theories suggest the visual analysis of human<br />

movement selectively benefits from motor system contributions. To<br />

test these theories, naive observers performed a series of identity discrimination<br />

tasks. Observers viewed point-light displays of actions<br />

performed by themselves (with which they have the most motor experience),<br />

their friends (most visual experience), or matched strangers<br />

(baseline condition). On each trial, participants viewed two actions<br />

and reported whether the actions were performed by the same actor<br />

or two different actors. Across studies, participants demonstrated the<br />

greatest visual sensitivity to their own movements. Friends’ actions<br />

were discriminated at above-chance levels. Performance was viewpoint<br />

and action dependent. <strong>The</strong>se results suggest that both motor experience<br />

and visual experience define visual sensitivity to human<br />

movement.<br />

Emotion and Memory<br />

Grand Ballroom Centre, Sunday Morning, 10:20–12:00<br />

Chaired by Janet Metcalfe, Columbia University<br />

10:20–10:35 (300)<br />

Memory Under Stress: <strong>The</strong> Case of First-Time Parachute Jumping.<br />

JANET METCALFE & BRIDGID FINN, Columbia University—<strong>The</strong><br />

memorial effects of traumatic levels of stress are difficult to assess because<br />

of ethical considerations. However, the stress levels during firsttime<br />

parachute jumping approach those of trauma. A series of memory<br />

tests were, therefore, administered to first-time jumpers. <strong>The</strong><br />

results of these tests will be discussed in terms of the hot/cool framework<br />

of memory and emotion.<br />

10:40–10:55 (301)<br />

“Remembering” Emotional Words Is Based on Response Bias Not<br />

Recollection. SONYA DOUGAL, New York University, & CAREN M.<br />

ROTELLO, University of Massachusetts, Amherst (read by Caren M.<br />

Rotello)—Recent studies have demonstrated that emotion modulates<br />

recognition memory by increasing the proportion of remember judgments<br />

to emotional stimuli (Kensinger & Corkin, 2003; Ochsner,<br />

2000). This finding has led to the claim that recognition memory for<br />

emotional stimuli depends largely on a recollective process. We present<br />

ROC data from two experiments that challenge this conclusion. In<br />

both experiments, subjects studied and received a recognition test for<br />

neutral and emotional words. At test, subjects gave confidence ratings<br />

that each item had been studied. In Experiment 2, we also collected<br />

remember/know judgments. Three models were fit to individual subjects’<br />

data: a one-dimensional familiarity-based model (Donaldson,<br />

1996), the dual-process model (Yonelinas, 1994), and STREAK<br />

(Rotello et al., 2004). In accord with the literature, we find that emotion<br />

increases subjective reports of “remembering.” However, the effect<br />

is due to response bias differences rather than sensitivity change<br />

or use of a high-threshold recollection process.<br />

11:00–11:15 (302)<br />

<strong>The</strong> Effect of Mood on Implicit Motor Sequence Learning. JANET E.<br />

PALMER, GERALD L. CLORE, & DANIEL T. WILLINGHAM, University<br />

of Virginia (read by Daniel T. Willingham)—We used music<br />

to induce a happy or sad mood and observed the effect on implicit sequence<br />

learning using the serial response time task. During training,<br />

a sad mood led to overall faster performance, but a happy mood led<br />

to more robust implicit sequence learning. After training, participants<br />

listened to music designed to bring them back to a baseline mood and<br />

then completed a probe of their learning. Once the effect of mood was<br />

reversed, the difference in learning disappeared, which indicated that<br />

mood affected the expression of implicit learning, but not learning itself.<br />

<strong>The</strong> results are interpreted as supporting the mood-as-information<br />

hypothesis.<br />

47<br />

11:20–11:35 (303)<br />

Emotion-Linked von Restorff and Interference Effects in Immediate<br />

Memory: Arousal Versus Priority-Binding Mechanisms. DONALD<br />

G. MACKAY & CHRISTOPHER H. HADLEY, UCLA—Binding theory<br />

(MacKay et al., 2004) predicts three emotion-linked effects in immediate<br />

recall of taboo versus neutral words: (1) a von Restorff effect for<br />

taboo words presented slowly (2,000 msec/word) in mixed taboo-neutral<br />

lists—that is, better recall of taboo words and their immediately adjacent<br />

neutral words relative to position- and familiarity-matched neutral words<br />

in unmixed lists; (2) equivalent recall of taboo and neutral words in<br />

unmixed lists presented at fast or slow rates; (3) encoding interference<br />

that impairs recall of neutral words in comparison with taboo words<br />

in rapidly presented (200 msec/word) mixed lists—because emotion<br />

triggers binding mechanisms for encoding context of occurrence,<br />

taboo words impair the encoding of prior and subsequent neutral<br />

words in rapidly presented mixed lists as a result of emotion-linked<br />

capture of the mechanisms for binding list context. Our data supported<br />

all three predictions, suggesting that time-limited binding processes,<br />

rather than arousal or rehearsal processes triggered by taboo words,<br />

underlie our von Restorff effect.<br />

11:40–11:55 (304)<br />

Working Memory and Emotion: Ruminations on a <strong>The</strong>ory of Depression.<br />

ALAN D. BADDELEY, University of York—A number of<br />

theories of emotion implicate working memory as a link between physiologically<br />

based emotions and psychologically experienced feelings.<br />

<strong>The</strong> Baddeley and Hitch multicomponent model of working memory<br />

can account for the effects of fear and anxiety in terms of the distracting<br />

effects of worry. Depression presents a greater problem. A possible<br />

solution is proposed in terms of a hedonic detector system based on<br />

physiological, possibly visceral information that then feeds into a comparator<br />

when choices are required. <strong>The</strong> detector depends on a neutral<br />

point which may be influenced genetically, environmentally, or pharmacologically.<br />

Depression is assumed to reflect on inappropriate setting<br />

of this neutral point. Working memory is required for storage within the<br />

comparator and for the direction and control of the detection system.<br />

Methods of testing the model empirically will be discussed.<br />

Category Learning<br />

Grand Ballroom East, Sunday Morning, 10:20–12:00<br />

Chaired by Ben R. Newell, University of New South Wales<br />

10:20–10:35 (305)<br />

Challenging the Role of Implicit Processes in Probabilistic Category<br />

Learning. BEN R. NEWELL, University of New South Wales, & DAVID<br />

A. LAGNADO & DAVID R. SHANKS, University College London—<br />

Considerable interest in the hypothesis that different cognitive tasks<br />

recruit qualitatively distinct processing systems has led to the proposal<br />

of separate explicit (declarative) and implicit (procedural) systems. A<br />

popular probabilistic category learning task known as the “weather<br />

prediction task” is said to be ideally suited to examine this distinction<br />

because its two versions—“observation” and “feedback”—are claimed<br />

to recruit the declarative and procedural systems, respectively. In two<br />

experiments, we found results that were inconsistent with this interpretation.<br />

In Experiment 1, a concurrent memory task had a greater<br />

detrimental effect on the putatively implicitly mediated (feedback) version<br />

than on the explicit (observation) version. In Experiment 2, participants<br />

displayed comparable and accurate insight into the task and<br />

their judgment processes in both the feedback and observation versions.<br />

<strong>The</strong>se findings have important implications for the study of<br />

probabilistic category learning in both normal and patient populations.<br />

10:40–10:55 (306)<br />

Regulatory Focus and Flexibility in Classification. ARTHUR B.<br />

MARKMAN, GRANT C. BALDWIN, & W. TODD MADDOX, University<br />

of Texas, Austin—We explored the influence of regulatory fit<br />

on category learning. Regulatory focus theory suggests that people

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