Effect Of Set Size Research Articles

The fluctuating-masker benefit for word identification with spectral or fine-structure distortions.

Normal-hearing (NH) listeners presented with speech processed to reduce spectral detail or remove temporal fine-structure (TFS) information show a reduced benefit from momentary dips in the level of a fluctuating masker. This has been interpreted as evidence that related deficits may underlie the reduced fluctuating-masker benefit (FMB) observed for the hearing impaired. However, the reduced FMB for processed stimuli could be attributable to the greater signal-to-noise ratio (SNR) required to yield performance levels equivalent to the unprocessed case for unmodulated noise (the reference condition). NH listeners were tested in the identification of isolated words presented in stationary-noise, interfering-talker, and speech-modulated noise maskers. Different response-set sizes were used to offset performance differences between processed and unprocessed conditions. A validation experiment showed no effect of set size on the FMB when compared at a common stationary-noise SNR. A second experiment compared the FMB for unprocessed, spectrally smeared, and noise vocoded speech. When compared at the same SNR and percent-correct level (but different set sizes), processed and unprocessed stimuli yielded similar FMB. This suggests that for the conditions tested here, spectral or TFS distortions do not directly impair the ability to listen in the gaps of a fluctuating masker. [Sponsored by the Oticon Foundation.]

Exploring the Perceptual Causes of Search Set-Size Effects in Complex Scenes

We explored search set-size effects in the context of scenes, where objects are difficult to delineate and define. Observers searched for a tank target in landscape scenes populated by boulder, shrub, and tree distractors, which varied in their color and size similarity to the target. Scenes contained either 75 or 125 distractors. In two experiments we found that adding boulder or shrub distractors that were similar to the target in color and in size produced a consistent set-size effect, but adding distractors that were similar to the target only in size did not. Tree distractors, which were larger than the target, also produced a set-size effect regardless of whether they had a target-similar color (experiment 1) or not (experiment 2). In a third experiment we varied target-tree color similarity and tree color heterogeneity and found no change in search efficiency. We interpret these data as evidence for two independent sources of set-size effects in scenes, one subject to target--distractor similarity relationships (shrubs/boulders) and the other reflecting overall visual clutter (trees), with these latter clutter effects definable by edge content.

Measuring search efficiency in complex visual search tasks: Global and local clutter.

Set size and crowding affect search efficiency by limiting attention for recognition and attention against competition; however, these factors can be difficult to quantify in complex search tasks. The current experiments use a quantitative measure of the amount and variability of visual information (i.e., clutter) in highly complex stimuli (i.e., digital aeronautical charts) to examine limits of attention in visual search. Undergraduates at a large southern university searched for a target among 4, 8, or 16 distractors in charts with high, medium, or low global clutter. The target was in a high or low local-clutter region of the chart. In Experiment 1, reaction time increased as global clutter increased, particularly when the target was in a high local-clutter region. However, there was no effect of distractor set size, supporting the notion that global clutter is a better measure of attention against competition in complex visual search tasks. As a control, Experiment 2 demonstrated that increasing the number of distractors leads to a typical set size effect when there is no additional clutter (i.e., no chart). In Experiment 3, the effects of global and local clutter were minimized when the target was highly salient. When the target was nonsalient, more fixations were observed in high global clutter charts, indicating that the number of elements competing with the target for attention was also high. The results suggest design techniques that could improve pilots' search performance in aeronautical charts.

Perceptual identification and the cross-race effect

The current research examined whether the cross-race effect (CRE) was evident in perceptual identification tasks and the extent to which certain boundary conditions moderated the effect. Across two experiments, a significant CRE was observed in measures of accuracy and response latency. As predicted, Experiment 1 showed that the CRE was exacerbated when encoding time was brief and test set size was increased. Experiment 2 replicated the effect of set size, but also showed that the CRE was more pronounced when the retention interval was lengthened. The theoretical and practical implications of the results are discussed.

Inhibition of return in static but not necessarily in dynamic search

If and when search involves the serial inspection of items by covert or overt attention, its efficiency would be enhanced by a mechanism that would discourage re-inspections of items or regions of the display that had already been examined. Klein (1988, 2000; Klein & Dukewich, 2006) proposed that inhibition of return (IOR) might be such a mechanism. The present experiments explored this proposal by combining a dynamic search task (Horowitz & Wolfe, 1998, 2003) with a probe-detection task. IOR was observed when search was most efficient (static and slower dynamic search). IOR was not observed when search performance was less efficient (fast dynamic search).These findings are consistent with the "foraging facilitator" proposal of IOR and are unpredicted by theories of search that assume parallel accumulation of information across the array (plus noise) as a general explanation for the effect of set size upon search performance.

Stimulus set size and statistical coverage of the grammar in artificial grammar learning

Adults and children acquire knowledge of the structure of their environment on the basis of repeated exposure to samples of structured stimuli. In the study of inductive learning, a straightforward issue is how much sample information is needed to learn the structure. The present study distinguishes between two measures for the amount of information in the sample: set size and the extent to which the set of exemplars statistically covers the underlying structure. In an artificial grammar learning experiment, learning was affected by the sample's statistical coverage of the grammar, but not by its mere size. Our result suggests an alternative explanation of the set size effects on learning found in previous studies (McAndrews & Moscovitch, 1985; Meulemans & Van der Linden, 1997), because, as we argue, set size was confounded with statistical coverage in these studies.

Visual search without attentional displacement

The time needed to search for an object in a complex environment increases with the number of distracting stimuli, a phenomenon known as the "set-size effect." This observation has led to the view that, during visual search, several attentional shifts are performed, suggesting that visual information is processed serially. In an attempt to find direct evidence for such attentional shifts, we implemented several dual tasks combining a covert visual search (CVS) task or a cued target detection task with a character reporting task which allowed us to determine, a posteriori, the attentional allocation. We found that, in the cueing task, subjects preferentially reported characters displayed at different locations, demonstrating that the attention spotlight actually shifted in this condition. In contrast, in both feature and conjunction CVS, subjects predominantly reported several characters flashed at the same location, whatever the delay between their presentations, indicating that, despite a clear "set-size effect," attention remained static. These results demonstrate that CVS can be performed without shifting attention and that the "set-size effect" does not necessarily attest that visual information is processed serially. The present study therefore supports the hypothesis that parallel mechanisms are involved in visual information processing during visual search, in agreement with previous theoretical studies.

Comment on Cohen et al: Neural Basis of the Set-Size Effect in Frontal Eye Field: Timing of Attention During Visual Search

to the editor: Distinguishing targets from distractors is crucial for goal-directed behavior and areas related to visual attention—including the lateral intraparietal area (LIP) and the frontal eye field (FEF)—have robust target-selective neural responses. The onset of significant target-

Reply to Balan and Gottlieb

REPLY: Several important questions are raised in the recent comparison by Balan and Gottlieb (2009) between the description by Balan et al. (2008) of lateral intraparietal (LIP) neuron activity in monkeys performing visual search with manual responses and our recent report of frontal eye field (FEF) neuron activity in monkeys performing visual search with saccade responses (Cohen et al. 2009). Both studies manipulated the number of distractors in the search display. Balan et al. 2008 reported decreased firing rate with increasing set size, but they reported no delay in the time at which activity for the target exceeded activity for the distractors, referred to as target selection time. Cohen and colleagues (2009) also reported decreased firing rate with increasing set size, but also observed delayed target selection time with increasing set size. How should we interpret the different observations across laboratories, effectors, cortical areas, and task designs? First, we emphasize that this is not a case of one observation being correct and the other incorrect. The results of both studies are valid within their respective contexts. However, the question remains: which difference between studies explains the different outcomes? We argue that task demands are the major factors. In other words, measured under the same task demands, we predict that the same pattern of results would be obtained across effector (manual response vs. saccade) and cortical area (LIP vs. FEF). The first step of the argument is to appreciate that categorical statements about the relationship between target selection time and response time are not possible because these times vary for at least three reasons. First, neuron type matters. Multiple

Effect of set-size and storage temperature on bolting, bulbing and seed yield in two onion cultivars

The effects of three set-sizes (12.5, 17.5 and 22.5 mm in diameter) and seven storage temperatures (0, 5, 10, 15, 20, 25 and 30 °C) on bolting, bulbing and seed yield in two onion ( Allium cepa L.) cultivars ‘Hygro’ and ‘Delta’ were investigated. The incidence of bolting increased linearly with set-size and curvi-linearly with decreasing storage temperature. Time to inflorescence emergence and floret opening showed a curvi-linear response to storage temperature with the earliest inflorescence emergence and floret opening occurring at 5 °C and the latest at 30 °C for ‘Hygro’ and at 25 °C for ‘Delta’. Seed yield per umbel also showed a curvi-linear response to storage temperature with the lowest seed yield occurring at 30 °C for ‘Hygro’ and at 25 °C for ‘Delta’ and the highest seed yield at 5 °C. For a seed crop, storage of large sets (22.5 mm) of these cultivars at 5 °C for 120 days appeared to be optimum with 5–12% higher seed yield per umbel than that of 90 days storage. Bulb yield showed a curvi-linear response to storage temperature with the highest bulb yield occurring at 25 °C and the lowest at 5 °C.

Factor-Analysis Methods for Higher-Performance Neural Prostheses

Neural prostheses aim to provide treatment options for individuals with nervous-system disease or injury. It is necessary, however, to increase the performance of such systems before they can be clinically viable for patients with motor dysfunction. One performance limitation is the presence of correlated trial-to-trial variability that can cause neural responses to wax and wane in concert as the subject is, for example, more attentive or more fatigued. If a system does not properly account for this variability, it may mistakenly interpret such variability as an entirely different intention by the subject. We report here the design and characterization of factor-analysis (FA)-based decoding algorithms that can contend with this confound. We characterize the decoders (classifiers) on experimental data where monkeys performed both a real reach task and a prosthetic cursor task while we recorded from 96 electrodes implanted in dorsal premotor cortex. The decoder attempts to infer the underlying factors that comodulate the neurons' responses and can use this information to substantially lower error rates (one of eight reach endpoint predictions) by <or=75% (e.g., approximately 20% total prediction error using traditional independent Poisson models reduced to approximately 5%). We also examine additional key aspects of these new algorithms: the effect of neural integration window length on performance, an extension of the algorithms to use Poisson statistics, and the effect of training set size on the decoding accuracy of test data. We found that FA-based methods are most effective for integration windows >150 ms, although still advantageous at shorter timescales, that Gaussian-based algorithms performed better than the analogous Poisson-based algorithms and that the FA algorithm is robust even with a limited amount of training data. We propose that FA-based methods are effective in modeling correlated trial-to-trial neural variability and can be used to substantially increase overall prosthetic system performance.

The effect of semantic set size on word learning by preschool children.

The purpose was to determine whether semantic set size, a measure of the number of semantic neighbors, influenced word learning, and whether the influence of semantic set size was broad, showing effects on multiple measures both during and after learning. Thirty-six preschool children were exposed to 10 nonobjects, varying in semantic set size, paired with 10 nonwords, controlling phonotactic probability and neighborhood density. Nonobject-nonword pairs were presented in a game format. Learning was measured in naming and referent identification tasks administered before, during, and 1 week after training. Results showed no differences in naming or identifying the referents of the nonobject-nonword pairs with small versus large semantic set sizes before and during training. However, 1 week after training, children named and identified the referents of nonobject-nonword pairs with small set sizes more accurately than those with large set sizes. Similarity to known representations appears to influence word learning, regardless of whether the similarity involves lexical or semantic representations. However, the direction of the effect of similarity to known representations on word learning varies depending on the specific type of representation involved. Specifically, lexical similarity speeds learning, whereas semantic similarity slows learning.

Aging and choice: Applications to Medicare Part D

AbstractWe examined choice behavior in younger versus older adults using a medical decision-making task similar to Medicare Part D. The study was designed to assess age differences in choice processes in general and specifically designed to examine the effect of choice set size on performance. Data are drawn from a larger study on choice and aging, in which ninety-six younger adults (ages 18–64) and 96 older adults (ages 65–91) selected a prescription drug plan from either 6 or 24 different options. As hypothesized, choice set size was a significant predictor of individuals’ ability to choose the best plan. Participants who were presented with 24 plans were less likely to choose the correct prescription drug plan. Age did not have a negative effect on decision performance; however numeracy and speed of processing significantly affected performance across groups. Older adults were more likely to be characterized as satisficers on a decision personality measure, but this categorization did not predict performance on the choice task.

A feature-weighting account of priming in conjunction search

Previous research on the priming effect in conjunction search has shown that repeating the target and distractor features across displays speeds mean response times but does not improve search efficiency: Repetitions do not reduce the set size effect-that is, the effect of the number of distractor items-but only modulate the intercept of the search function. In the present study, we investigated whether priming modulates search efficiency when a conjunctively defined target randomly changes between red and green. The results from an eyetracking experiment show that repeating the target across trials reduced the set size effect and, thus, did enhance search efficiency. Moreover, the probability of selecting the target as the first item in the display was higher when the target-distractor displays were repeated across trials than when they changed. Finally, red distractors were selected more frequently than green distractors when the previous target had been red (and vice versa). Taken together, these results indicate that priming in conjunction search modulates processes concerned with guiding attention to the target, by assigning more attentional weight to features sharing the previous target's color.

Neural Basis of the Set-Size Effect in Frontal Eye Field: Timing of Attention During Visual Search

Visual search for a target object among distractors often takes longer when more distractors are present. To understand the neural basis of this capacity limitation, we recorded activity from visually responsive neurons in the frontal eye field (FEF) of macaque monkeys searching for a target among distractors defined by form (randomly oriented T or L). To test the hypothesis that the delay of response time with increasing number of distractors originates in the delay of attention allocation by FEF neurons, we manipulated the number of distractors presented with the search target. When monkeys were presented with more distractors, visual target selection was delayed and neuronal activity was reduced in proportion to longer response time. These findings indicate that the time taken by FEF neurons to select the target contributes to the variation in visual search efficiency.

Coherent oscillatory networks supporting short-term memory retention

Accumulating evidence suggests that top-down processes, reflected by frontal-midline theta-band (4–8 Hz) electroencephalogram (EEG) oscillations, strengthen the activation of a memory set during short-term memory (STM) retention. In addition, the amplitude of posterior alpha-band (8–13 Hz) oscillations during STM retention is thought to reflect a mechanism that protects fragile STM activations from interference by gating bottom-up sensory inputs. The present study addressed two important questions about these phenomena. First, why have previous studies not consistently found memory set-size effects on frontal-midline theta? Second, how does posterior alpha participate in STM retention? To answer these questions, large-scale network connectivity during STM retention was examined by computing EEG wavelet coherence during the retention period of a modified Sternberg task using visually-presented letters as stimuli. The results showed (a) increasing theta-band coherence between frontal-midline and left temporal-parietal sites with increasing memory load, and (b) increasing alpha-band coherence between midline parietal and left temporal/parietal sites with increasing memory load. These findings support the view that theta-band coherence, rather than amplitude, is the key factor in selective top-down strengthening of the memory set and demonstrate that posterior alpha-band oscillations associated with sensory gating are involved in STM retention by participating in the STM network.

Are spatial responses to visuospatial stimuli and spoken responses to auditory letters ideomotor-compatible tasks? Examination of set-size effects on dual-task interference

Previous studies have paired a visual–manual Task 1 with an auditory–vocal Task 2 to evaluate whether the psychological refractory period (PRP) effect is eliminated with two ideomotor-compatible tasks (for which stimuli resemble the response feedback). The present study varied the number of stimulus-response alternatives for Task 1 in three experiments to determine whether set-size and PRP effects were absent, as would be expected if the tasks bypass limited-capacity response-selection processes. In Experiments 1 and 2, the visual–manual task was used as Task 1, with lever-movement and keypress responses, respectively. In Experiment 3, the auditory–vocal task was used as Task 1 and the visual–manual task as Task 2. A significant lengthening of reaction time for 4 vs. 2 alternatives was found for the visual–manual Task 1 and the Task 2 PRP effect in Experiments 1 and 2, suggesting that the visual–manual task is not ideomotor compatible. Neither effect of set size was significant for the auditory–vocal Task 1 in Experiment 3, but there was still a Task 2 PRP effect. Our results imply that neither version of the visual–manual task is ideomotor compatible; other considerations suggest that the auditory–vocal task may also still require response selection.

Changes in the functional visual field during search with and without eye movements

The size of the functional visual field (FVF) is dynamic, changing with the context and attentive demand that each fixation brings as we move our eyes and head to explore the visual scene. Using performance measures of the FVF we show that during search conditions with eye movements, the FVF is small compared to the size of the FVF measured during search without eye movements. In all cases the size of the FVF is constrained by the density of distracting items. During search without eye movements the FVF expands with time; subjects have idiosyncratic spatial biases suggesting covert shifts of attention. For search within the constraints imposed by item density, the rate of item inspection is the same across all search conditions. Array set size effects are not apparent once stimulus density is taken into account, a result that is consistent with a spatial constraint for the FVF based on the cortical separation hypothesis.

Neuronal Correlates of the Set-Size Effect in Monkey Lateral Intraparietal Area

It has long been known that the brain is limited in the amount of sensory information that it can process at any given time. A well-known form of capacity limitation in vision is the set-size effect, whereby the time needed to find a target increases in the presence of distractors. The set-size effect implies that inputs from multiple objects interfere with each other, but the loci and mechanisms of this interference are unknown. Here we show that the set-size effect has a neural correlate in competitive visuo-visual interactions in the lateral intraparietal area, an area related to spatial attention and eye movements. Monkeys performed a covert visual search task in which they discriminated the orientation of a visual target surrounded by distractors. Neurons encoded target location, but responses associated with both target and distractors declined as a function of distractor number (set size). Firing rates associated with the target in the receptive field correlated with reaction time both within and across set sizes. The findings suggest that competitive visuo-visual interactions in areas related to spatial attention contribute to capacity limitations in visual searches.

Learning and liking an artificial musical system: Effects of set size and repeated exposure.

We report an investigation of humans' musical learning ability using a novel musical system. We designed an artificial musical system based on the Bohlen-Pierce scale, a scale very different from Western music. Melodies were composed from chord progressions in the new scale by applying the rules of a finite-state grammar. After exposing participants to sets of melodies, we conducted listening tests to assess learning, including recognition tests, generalization tests, and subjective preference ratings. In Experiment 1, participants were presented with 15 melodies 27 times each. Forced choice results showed that participants were able to recognize previously encountered melodies and generalize their knowledge to new melodies, suggesting internalization of the musical grammar.Preference ratings showed no differentiation among familiar, new, and ungrammatical melodies. In Experiment 2, participants were given 10 melodies 40 times each. Results showed superior recognition but unsuccessful generalization. Additionally, preference ratings were significantly higher for familiar melodies. Results from the two experiments suggest that humans can internalize the grammatical structure of a new musical system following exposure to a sufficiently large set size of melodies, but musical preference results from repeated exposure to a small number of items. This dissociation between grammar learning and preference will be further discussed.