Search for multiple targets: remember the targets, forget the search

Models of visual search performance typically assume that search proceeds by sampling without replacement. This requires memory for each deployment of attention. We tested this assumption of memory-driven search using a multiple-target search paradigm. We held total set size constant, varied the number of targets in the display, and asked subjects to report whether or not there were at least n targets present, where n was varied by block. This allowed us to measure the time to find each subsequent target. Memory-driven search predicts that reaction time should be a linear function of n. The alternative memory-free search hypothesis predicts an accelerating function. The data falsify the memory-driven hypothesis. They were consistent with the memory-free search hypothesis but would also be consistent with memory for a small number of previously attended locations.     

Liberal bias mediates emotion recognition deficits in frontal traumatic brain injury

It is well-known that patients having sustained frontal-lobe traumatic brain injury (TBI) are severely impaired on tests of emotion recognition. Indeed, these patients have significant difficulty recognizing facial expressions of emotion, and such deficits are often associated with decreased social functioning and poor quality of life. As of yet, no studies have examined the response patterns which underlie facial emotion recognition impairment in TBI and which may lend clarity to the interpretation of deficits. Therefore, the present study aimed to characterize response patterns in facial emotion recognition in 14 patients with frontal TBI compared to 22 matched control subjects, using a task which required participants to rate the intensity of each emotion (happiness, sadness, anger, disgust, surprise and fear) of a series of photographs of emotional and neutral faces. Results first confirmed the presence of facial emotion recognition impairment in TBI, and further revealed that patients displayed a liberal bias when rating facial expressions, leading them to associate intense ratings of incorrect emotional labels to sad, disgusted, surprised and fearful facial expressions. These findings are generally in line with prior studies which also report important facial affect recognition deficits in TBI patients, particularly for negative emotions.     

Memory search for the first target modulates the magnitude of the attentional blink

The resolution of temporal attention is limited in a manner that makes it difficult to identify two targets in short succession. This limitation produces the phenomenon known as the attentional blink (AB), in which processing of a first target (T1) impairs identification of a second target (T2). In the AB literature, there is broad agreement that increasing the time it takes to process T1 leads to a larger AB. One might, therefore, predict that increasing the number of possible T1 identities, or target set, from 1 to 16 would lead to a larger AB. We were surprised to find that this manipulation of T1 difficulty had no influence on AB magnitude. In subsequent experiments, we found that AB magnitude interacts with T1 processing time only under certain circumstances. Specifically, when the T1 task was either well masked or had to be completed online, we found a reliable interaction between AB magnitude and the target set size. When neither of these conditions was fulfilled, there was no interaction between target set size and the AB. Previous research found that when the target set changes from trial to trial, trials with more possible targets elicited a larger AB. In the present study, the target set is held constant, reducing the demands on working memory. Nevertheless, AB magnitude still interacts with target set size, as long as the T1 task cannot be processed offline. Thus, the act of searching memory delays subsequent processing, even when the role of working memory has been minimized.     

The Influence of Rater Effects in Training Sets on the Psychometric Quality of Automated Scoring for Writing Assessments

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be “trained” using machine-learning techniques that incorporate human ratings. However, the quality of the human ratings used to train the AESEs is rarely examined. As a result, the impact of various rater effects (e.g., severity and centrality) on the quality of AESE-assigned scores is not known. In this study, we use data from a large-scale rater-mediated writing assessment to examine the impact of rater effects on the quality of AESE-assigned scores. Overall, the results suggest that if rater effects are present in the ratings used to train an AESE, the AESE scores may replicate these effects. Implications are discussed in terms of research and practice related to automated scoring.     

Hybrid value foraging: How the value of targets shapes human foraging behavior

In hybrid foraging, observers search visual displays for multiple instances of multiple target types. In previous hybrid foraging experiments, although there were multiple types of target, all instances of all targets had the same value. Under such conditions, behavior was well described by the marginal value theorem (MVT). Foragers left the current “patch” for the next patch when the instantaneous rate of collection dropped below their average rate of collection. An observer’s specific target selections were shaped by previous target selections. Observers were biased toward picking another instance of the same target. In the present work, observers forage for instances of four target types whose value and prevalence can vary. If value is kept constant and prevalence manipulated, participants consistently show a preference for the most common targets. Patch-leaving behavior follows MVT. When value is manipulated, observers favor more valuable targets, though individual foraging strategies become more diverse, with some observers favoring the most valuable target types very strongly, sometimes moving to the next patch without collecting any of the less valuable targets.

     

Cognitive technologies for gist processing

Cognitive technologies extend our cognitive abilities, yet they are currently deficient in many respects. According to fuzzy-trace theory, people are gist processors with a fuzzy-processing preference, and information is mentally represented along a fuzzy-to-verbatim continuum. An understanding of gist processing could form the basis of a new generation of more effective cognitive technologies. This suggests, first, the need for new tools to help Web page creators optimize gist representations of text. Such a system could provide feedback about the visitor’s gist and make recommendations about rewriting. It also suggests the need for new tools to help authors create more effective means of presenting quantitative data in visual form. The advocated approach capitalizes on the collective knowledge of communities of practice on the Web. Finally, it suggests the need for new tools for collecting input from users. The facial composite system EvoFIT is cited as an example.     

SCiP at 35: An idiosyncratic history of the Society for Computers in Psychology

SCiP history may be divided into three eras: the Paleozoic (1971–1982), the Mesozoic (1982–1994), and the Cenozoic (1994-present). Following a list of Secretary-Treasurers, a list of all SCiP Presidents is provided in Table 1. Next I present personal highlights, including the first symposium on psychology and the World-Wide Web; David Rumelhart’s mathematical explanation of connectionism; and Stevan Harnad’s discussion of “freeing” the journal literature. I observe that a small conference is becoming more intimate and that much of our mission involves figuring out how to conduct high-quality scientific research with consumer-grade electronics. I argue that we are an increasingly international organization, that graduate students are welcome, and that we should become more inclusive in the areas of gender and ethnicity and should make membership more meaningful. I conclude by looking ahead and attempting to predict the future.     

Military Influence Tactics: Lessons Learned in Iraq and Afghanistan

When deployed U.S. soldiers attempt to influence the attitudes, beliefs, or behaviors of civilians, success can save lives and failure can be deadly. Survey data from 228 military personnel with deployment experience to Iraq and Afghanistan revealed that in a challenging wartime environment, empathy, respect, prior relationships, and familiarity with influence targets predicted success in cross-cultural influence attempts. Influence techniques involving resources and positive feelings were used more commonly in relatively successful influence attempts; negative tactics were used more commonly in unsuccessful attempts.     

Standard Errors of Multivariate Range-Corrected Validities

The multivariate rather than the univariate range correction is used for estimating unrestricted applicant population validities in many military test validity studies but not uniformly. A Monte Carlo approach compared the standard errors of range-corrected validities under various experimental conditions adhering to the assumptions underlying correction accuracy. The multivariate corrected validities had smaller standard errors than both the univariate-corrected validities and the unrestricted validities. We conclude that using the univariate correction could fail to reveal the most valid selection instrument and that the multivariate correction should be used when scores for relevant predictors are available for the unrestricted population.