Abstracts 2005 - The Psychonomic Society

Abstracts 2005 - The Psychonomic Society Abstracts 2005 - The Psychonomic Society

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Papers 69–76 Friday Afternoon SYMPOSIUM: The Effect of Emotion on Declarative Memory Grand Ballroom Centre, Friday Afternoon, 1:30–3:25 Chaired by Morris Moscovitch, University of Toronto 1:30–1:45 (69) The Effect of Emotion on Declarative Memory. MORRIS MOSCO- VITCH, ADAM K. ANDERSON, & DEBORAH TALMI, University of Toronto—In this symposium, speakers attempt to integrate the exciting work on the cognitive mechanisms and the neural substrate underlying the effect of emotion on declarative memory. Going beyond the fundamental claim that memory for emotional events is better than memory for neutral events, speakers discuss the phenomenological, cognitive, and neurobiological uniqueness of emotional memories. Cahill discusses the effect of sex differences and hemisphere laterality on the modulatory effects of emotion on memory consolidation. Kensinger discusses the effects of emotional content on the likelihood that individuals will remember particular details associated with an event. LaBar discusses how emotional intensity and valence alter the perceptual and cognitive properties of autobiographical memories. Anderson discusses the role that self-referential and meaning-based encoding processes have in the enhanced retention of emotional memories. Speakers draw on and integrate data from behavioral, neuroimaging, and animal research. 1:45–2:10 (70) Sex and Hemisphere Influences on Emotional Memory. LARRY CAHILL, University of California, Irvine—Extensive evidence from animal and human subject work supports the view that endogenous stress hormones and the amygdala interact to modulate memory storage processes for emotionally arousing events. In recent years, increasing evidence has documented influences of both subject sex and cerebral hemisphere on brain mechanisms of emotional memory. These influences will be the focus of this presentation. 2:10–2:35 (71) The Effects of Emotion on Memory Specificity. ELIZABETH KENSINGER, Boston College and Martinos Center for Biomedical Imaging—Emotion infuses many of life’s experiences. Numerous studies have demonstrated that the likelihood of remembering a particular experience can be affected by its emotional content, with emotional experiences more often remembered than neutral ones. In this talk, I will present recent evidence indicating that the emotional content of information also can increase the likelihood that individuals remember particular details associated with an event (e.g., whether an item was imagined or remembered; the specific visual details of a presented item). I also will discuss neuroimaging evidence suggesting that the engagement of limbic regions (particularly the amygdala and orbitofrontal cortex) during encoding and retrieval mediates these effects of emotional content on memory specificity. 2:35–3:00 (72) The Phenomenological Experience of Emotional Remembering. KEVIN LABAR, Duke University—Psychologists tend to define the memory-enhancing effect of emotion as the likelihood that an emotional event will be retrieved, relative to a neutral one. However, emotion influences not just the accessibility of memory traces but also subjective aspects of remembering. Behavioral data will be presented that considers how emotional intensity and valence alter the cognitive properties of autobiographical memories. Neuroimaging studies will be reviewed that identify components of the autobiographical memory network that are sensitive to variations in emotional intensity and the sense of reliving during recall. Finally, the role of the medial temporal lobe in the successful retrieval of remote emotional memories will be discussed, with an emphasis on dissociating structures that mediate recollection versus familiarity. This research characterizes the broad influence of emotional intensity on memory and reveals synergistic actions of the amygdala, hippocampus, and inferior pre- 12 frontal cortex that underlie the phenomenological experience of emotional remembering. 3:00–3:25 (73) Psychological and Neural Accounts of Emotional Enhancement of Episodic Memory. ADAM K. ANDERSON, University of Toronto— Emotional events are often highly personally relevant and may be associated with self-referential and meaning-based deep processing, resulting in their enhanced retention and phenomenological salience. Neurobiological approaches, however, suggest that such emotional enhancement critically depends upon enhanced memory consolidation mediated by the amygdala—an evolutionarily older neural structure not associated with higher order psychological processes. Neural accounts suggest that the greater psychological salience of emotional memories may simply reduce to the prerequisite of greater amygdala recruitment. Data will be presented in only partial support of this notion, showing that amygdala recruitment is necessary but insufficient to account for enhanced remembrance of emotional events. Task Switching Grand Ballroom East, Friday Afternoon, 1:30–3:50 Chaired by Erik M. Altmann, Michigan State University 1:30–1:45 (74) Switch Cost Confusion: Validity Problems in Task-Switching Research. ERIK M. ALTMANN, Michigan State University—A central construct in the study of cognitive control is switch cost, the effect on performance of switching, as opposed to repeating a task between trials. However, a little-discussed fact is that the most common paradigms for measuring switch cost, explicit cuing and alternating runs, measure it differently. Whereas explicit cuing compares trials after a switch cue with trials after a repeat cue, alternating runs compares the first trial of a run (also a switch trial) with the second trial of a run (also a repeat trial), which is a significant confounding, because both the position and the switching variables independently affect performance. Widespread discussion of these two switch cost measures as identical has likely contributed to the heterogeneity of the data on switch cost, and the confounded nature of the alternating-runs version suggests that even dramatic findings from that paradigm add little diagnostic value to theoretical debates over models of cognitive control. 1:50–2:05 (75) Decomposing Interference and Adaptation Costs in Task Switching. DANIEL GOPHER, VERED YEHENE, & OLGA CHUNTONAV, Technion–Israel Institute of Techology—Experiments were conducted to evaluate the relative contribution, to the costs of task switching, of adaptation and reconfiguration efforts, as compared with interference and inhibition factors. Theoretical accounts for performance costs in task switching vary in their emphasis on the influence of the two types of costs. We combined task switching with the task flankers paradigm, in an attempt to distinguish between these determinants of switching costs. Flankers on the sides of the imperative stimulus at each trial are distractors that need to be actively blocked. Results show that in task switching, flankers in one task become effective distractors in another task only when tasks are practiced in alternation, but not in uniform blocks. In task-switching blocks, their effects are comparable to flankers of the same task, both in repetition and in switching trials. The results are discussed in the framework of executive control models and the costs of task switching. 2:10–2:25 (76) Across-Trial Stimulus Similarity Affects Response Speed, But Not the Task-Switching Cost. ANDRÉ VANDIERENDONCK, BAPTIST LIEFOOGHE, & FREDERICK VERBRUGGEN, Ghent University— The possible influence of stimulus-to-task associations on the cost of switching between two tasks was investigated in a cued task-switching design. This was studied by means of across-trial distance priming of

Friday Afternoon Papers 77–83 small numbers. In three experiments, participants performed magnitude and parity judgments of digits while across-trial distance between the digits systematically varied. The first experiment involved only parity judgments and showed that latencies of response repetitions increased with across-trial distance, whereas latencies of response alternations decreased with distance. The second and third experiments confirmed this pattern of results in switching from magnitude to parity with informative and uninformative cues, respectively. The relevance of the findings to current views on task switching is discussed. 2:30–2:45 (77) Conflict and Control: Conflict-Triggered Goal Shielding and Distractor Inhibition in Task Set Switching. THOMAS GOSCHKE, Dresden University of Technology—Organisms pursuing goal-directed behavior in a changing environment face two fundamental challenges: to maintain and shield goals from distraction, on the one hand, and to flexibly switch between goals and monitor the environment for potentially significant stimuli, on the other. Here, I show that response conflicts automatically trigger an enhanced shielding of the currently active goal by inhibiting distracting information. In a cued task-switching paradigm in which participants responded to either the shape or the color of stimuli, conflicts induced by response-incompatible stimuli produced increased switch costs and incompatibility effects on the subsequent trial, indicating enhanced persisting inhibition of distracting stimulus dimensions. In addition, response conflicts impaired detection of prospective memory cues signaling the requirement to switch to a different task. Results extend current theories of conflict monitoring and cognitive control in showing that response conflicts enhance distractor inhibition on the current trial of a task and impair background monitoring for potentially significant stimuli. 2:50–3:05 (78) On the Origins of the Task-Mixing Cost in the Cuing Task-Switching Paradigm. ORIT RUBIN & NACHSHON MEIRAN, Ben-Gurion University of the Negev (read by Nachshon Meiran)—Poorer performance in task switching, relative to single-task conditions, is called mixing cost (MC). In three experiments exploring the origins of MC, participants either switched between cued shape and color tasks or performed them as single tasks. Experiment 1 failed to support the hypothesis that MC reflects controlled mode of processing, by showing that a flanker interference effect was not affected by task mixing. Experiment 2 supported the hypothesis that mixed-task trials require the resolution of task ambiguity by showing that MC existed only with ambiguous stimuli that afforded both tasks and not with unambiguous stimuli affording only one task. Experiment 3 failed to support the hypothesis that holding multiple task sets in working memory (WM) generates mixing cost, by showing that systematic manipulation of the number of S–R rules in WM did not affect MC. The results emphasize the role of competition management between task sets during task control. 3:10–3:25 (79) Repetition Benefit in Task Switching. MYEONG-HO SOHN, George Washington University, JOHN R. ANDERSON, Carnegie Mellon University, & BRUCE C. PETERSON, George Washington University— Performing a new task is slower than performing a repeated task, and this difference has been attributed to the benefit of task repetition, as well as to the cost of engaging a new task. The present study examined whether task repetition benefits from carryover of the previous task or priming of an upcoming task. Participants performed two tasks (T1 and T2) on every trial, and the two tasks were either identical (task repetition) or different (task switch). T2 was preceded by an uninformative task cue, which was consistent with T2 (positive cue), inconsistent (negative cue), or neutral (neutral cue). In general, T2 latency was shorter in task repetition than in task switch. However, the benefit of task repetition was observed only with positive or neutral cues but not with negative cues. These results suggest that task repetition may benefit from carryover of the recently performed task. 13 3:30–3:45 (80) Is There Volition in the Voluntary Switching Paradigm? ULRICH MAYR & THEODORE A. BELL, University of Oregon—The voluntary task-switching paradigm (Arrington & Logan, 2004) requires “random” selection between tasks and promises a window into executive task selection independently of exogenous influences present in standard task-switching situations (Arrington & Logan, 2004). We show here that the degree to which subjects perserverate the last trial’s task captures unique individual-differences variance, but also that the switch rate is under strong stimulus-driven control: “Voluntary” switches are much more frequent when the stimulus changes than when it stays the same. Most important, we show that individuals who selectively slow down on no-switch trials exhibit less perseveration and stimulus-driven effects (and thus more “voluntary” selection). We suggest that selective slowing indicates a strategy of treating trials as discrete events—possibly through inhibition of the preceding task. These results not only demonstrate massive “nonvoluntary” influences on voluntary selection, but also show how these influences can be counteracted through strategic adaptations. Attention II Grand Ballroom West, Friday Afternoon, 1:30–3:10 Chaired by Shaun P. Vecera, University of Iowa 1:30–1:45 (81) The Spatial Distribution of Object-Based Attention. SHAUN P. VE- CERA, ASHLEIGH M. RICHARD, & ANDREW HOLLINGWORTH, University of Iowa—The hallmark of object-based attention is that perceptual judgments are more efficient when a target appears in an attended object than when it appears in an unattended object. However, the manner in which attention is oriented to objects and distributed within objects is poorly understood. We investigated a core issue in object-based selection: the spatial distribution of attention within an object. We manipulated the within-object distance between a cue and a target. Spatial distance effects within objects would support grouped-array theories of object-based attention (Vecera, 1994). In accord with grouped-array theories, targets were detected more quickly near the attended end of an object than further from this attended end. Similar results were found in a masked discrimination task, which eliminated the possibility of shifts of spatial attention. Our results suggest that object-based effects arise because of the spatial profile of attention across an object, not because of shifts of attention between objects. 1:50–2:05 (82) Spatial Attention to a Partially Occluded Object. DESTINEE L. CHAMBERS, KYLE R. CAVE, & SIMON J. BUECHNER, University of Massachusetts, Amherst, & SHANNON BAILEY, University of Rochester (read by Kyle R. Cave)—Much of the evidence for objectbased attention comes from studies with overlapping objects, and understanding how one object can be selected when it is partly occluded is key to understanding visual attention. We used spatial probes to measure the allocation of attention to different parts of a target object and distractor object when one occluded a portion of the other. The results show that the region in which part of the target object is occluded by a distractor receives less attention than do the visible parts of the target. This result conflicts with findings from Haimson and Behrmann (2001) indicating that attention was equally allocated to unoccluded and occluded parts of the target. Comparing these results shows that under some conditions, spatial attention can be strategically allocated to only the visible parts of a target, while occluded parts are inhibited. 2:10–2:25 (83) Stimulus-Driven Attentional Capture by Objecthood. RUTH KIM- CHI, YAFFA YESHURUN, & ALIZA COHEN-SAVRANSKY, University of Haifa—Exogenous cues (e.g., peripheral flickers or abrupt

Friday Afternoon Papers 77–83<br />

small numbers. In three experiments, participants performed magnitude<br />

and parity judgments of digits while across-trial distance between<br />

the digits systematically varied. <strong>The</strong> first experiment involved only<br />

parity judgments and showed that latencies of response repetitions increased<br />

with across-trial distance, whereas latencies of response alternations<br />

decreased with distance. <strong>The</strong> second and third experiments<br />

confirmed this pattern of results in switching from magnitude to parity<br />

with informative and uninformative cues, respectively. <strong>The</strong> relevance<br />

of the findings to current views on task switching is discussed.<br />

2:30–2:45 (77)<br />

Conflict and Control: Conflict-Triggered Goal Shielding and Distractor<br />

Inhibition in Task Set Switching. THOMAS GOSCHKE,<br />

Dresden University of Technology—Organisms pursuing goal-directed<br />

behavior in a changing environment face two fundamental challenges:<br />

to maintain and shield goals from distraction, on the one hand, and to<br />

flexibly switch between goals and monitor the environment for potentially<br />

significant stimuli, on the other. Here, I show that response conflicts<br />

automatically trigger an enhanced shielding of the currently active<br />

goal by inhibiting distracting information. In a cued task-switching<br />

paradigm in which participants responded to either the shape or the<br />

color of stimuli, conflicts induced by response-incompatible stimuli<br />

produced increased switch costs and incompatibility effects on the<br />

subsequent trial, indicating enhanced persisting inhibition of distracting<br />

stimulus dimensions. In addition, response conflicts impaired<br />

detection of prospective memory cues signaling the requirement to<br />

switch to a different task. Results extend current theories of conflict<br />

monitoring and cognitive control in showing that response conflicts<br />

enhance distractor inhibition on the current trial of a task and impair<br />

background monitoring for potentially significant stimuli.<br />

2:50–3:05 (78)<br />

On the Origins of the Task-Mixing Cost in the Cuing Task-Switching<br />

Paradigm. ORIT RUBIN & NACHSHON MEIRAN, Ben-Gurion<br />

University of the Negev (read by Nachshon Meiran)—Poorer performance<br />

in task switching, relative to single-task conditions, is called<br />

mixing cost (MC). In three experiments exploring the origins of MC,<br />

participants either switched between cued shape and color tasks or<br />

performed them as single tasks. Experiment 1 failed to support the hypothesis<br />

that MC reflects controlled mode of processing, by showing<br />

that a flanker interference effect was not affected by task mixing. Experiment<br />

2 supported the hypothesis that mixed-task trials require the<br />

resolution of task ambiguity by showing that MC existed only with ambiguous<br />

stimuli that afforded both tasks and not with unambiguous stimuli<br />

affording only one task. Experiment 3 failed to support the hypothesis<br />

that holding multiple task sets in working memory (WM) generates<br />

mixing cost, by showing that systematic manipulation of the number<br />

of S–R rules in WM did not affect MC. <strong>The</strong> results emphasize the role<br />

of competition management between task sets during task control.<br />

3:10–3:25 (79)<br />

Repetition Benefit in Task Switching. MYEONG-HO SOHN, George<br />

Washington University, JOHN R. ANDERSON, Carnegie Mellon University,<br />

& BRUCE C. PETERSON, George Washington University—<br />

Performing a new task is slower than performing a repeated task, and<br />

this difference has been attributed to the benefit of task repetition, as<br />

well as to the cost of engaging a new task. <strong>The</strong> present study examined<br />

whether task repetition benefits from carryover of the previous<br />

task or priming of an upcoming task. Participants performed two tasks<br />

(T1 and T2) on every trial, and the two tasks were either identical (task<br />

repetition) or different (task switch). T2 was preceded by an uninformative<br />

task cue, which was consistent with T2 (positive cue), inconsistent<br />

(negative cue), or neutral (neutral cue). In general, T2 latency<br />

was shorter in task repetition than in task switch. However, the benefit<br />

of task repetition was observed only with positive or neutral cues<br />

but not with negative cues. <strong>The</strong>se results suggest that task repetition<br />

may benefit from carryover of the recently performed task.<br />

13<br />

3:30–3:45 (80)<br />

Is <strong>The</strong>re Volition in the Voluntary Switching Paradigm? ULRICH<br />

MAYR & THEODORE A. BELL, University of Oregon—<strong>The</strong> voluntary<br />

task-switching paradigm (Arrington & Logan, 2004) requires<br />

“random” selection between tasks and promises a window into executive<br />

task selection independently of exogenous influences present in<br />

standard task-switching situations (Arrington & Logan, 2004). We<br />

show here that the degree to which subjects perserverate the last trial’s<br />

task captures unique individual-differences variance, but also that<br />

the switch rate is under strong stimulus-driven control: “Voluntary”<br />

switches are much more frequent when the stimulus changes than<br />

when it stays the same. Most important, we show that individuals who<br />

selectively slow down on no-switch trials exhibit less perseveration<br />

and stimulus-driven effects (and thus more “voluntary” selection). We<br />

suggest that selective slowing indicates a strategy of treating trials as<br />

discrete events—possibly through inhibition of the preceding task.<br />

<strong>The</strong>se results not only demonstrate massive “nonvoluntary” influences<br />

on voluntary selection, but also show how these influences can<br />

be counteracted through strategic adaptations.<br />

Attention II<br />

Grand Ballroom West, Friday Afternoon, 1:30–3:10<br />

Chaired by Shaun P. Vecera, University of Iowa<br />

1:30–1:45 (81)<br />

<strong>The</strong> Spatial Distribution of Object-Based Attention. SHAUN P. VE-<br />

CERA, ASHLEIGH M. RICHARD, & ANDREW HOLLINGWORTH,<br />

University of Iowa—<strong>The</strong> hallmark of object-based attention is that<br />

perceptual judgments are more efficient when a target appears in an<br />

attended object than when it appears in an unattended object. However,<br />

the manner in which attention is oriented to objects and distributed<br />

within objects is poorly understood. We investigated a core issue<br />

in object-based selection: the spatial distribution of attention within<br />

an object. We manipulated the within-object distance between a cue<br />

and a target. Spatial distance effects within objects would support<br />

grouped-array theories of object-based attention (Vecera, 1994). In<br />

accord with grouped-array theories, targets were detected more quickly<br />

near the attended end of an object than further from this attended end.<br />

Similar results were found in a masked discrimination task, which eliminated<br />

the possibility of shifts of spatial attention. Our results suggest<br />

that object-based effects arise because of the spatial profile of attention<br />

across an object, not because of shifts of attention between objects.<br />

1:50–2:05 (82)<br />

Spatial Attention to a Partially Occluded Object. DESTINEE L.<br />

CHAMBERS, KYLE R. CAVE, & SIMON J. BUECHNER, University<br />

of Massachusetts, Amherst, & SHANNON BAILEY, University<br />

of Rochester (read by Kyle R. Cave)—Much of the evidence for objectbased<br />

attention comes from studies with overlapping objects, and understanding<br />

how one object can be selected when it is partly occluded<br />

is key to understanding visual attention. We used spatial probes to<br />

measure the allocation of attention to different parts of a target object<br />

and distractor object when one occluded a portion of the other. <strong>The</strong><br />

results show that the region in which part of the target object is occluded<br />

by a distractor receives less attention than do the visible parts<br />

of the target. This result conflicts with findings from Haimson and<br />

Behrmann (2001) indicating that attention was equally allocated to<br />

unoccluded and occluded parts of the target. Comparing these results<br />

shows that under some conditions, spatial attention can be strategically<br />

allocated to only the visible parts of a target, while occluded<br />

parts are inhibited.<br />

2:10–2:25 (83)<br />

Stimulus-Driven Attentional Capture by Objecthood. RUTH KIM-<br />

CHI, YAFFA YESHURUN, & ALIZA COHEN-SAVRANSKY, University<br />

of Haifa—Exogenous cues (e.g., peripheral flickers or abrupt

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