Laura MatzenSandia National Laboratories · Cognitive Science
Laura Matzen
About
43
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Introduction
Skills and Expertise
Publications
Publications (43)
Background:
International Atomic Energy Agency (IAEA) safeguards inspectors are faced with the difficult task of learning the layout of complex nuclear facilities while being escorted through the facilities. This study addresses a gap in the literature regarding how to best support the development of inspectors' spatial knowledge, given the constr...
International nuclear safeguards inspectors visit nuclear facilities to assess their compliance with international nonproliferation agreements. Inspectors note whether anything unusual is happening in the facility that might indicate the diversion or misuse of nuclear materials, or anything that changed since the last inspection. They must complete...
International nuclear safeguards inspectors are tasked with verifying that nuclear materials in facilities around the world are not misused or diverted from peaceful purposes. They must conduct detailed inspections in complex, information-rich environments, but there has been relatively little research into the cognitive aspects of their jobs. We p...
Objectives:
Older adults experience associative memory deficits relative to younger adults (Old & Naveh-Benjamin, 2008). The aim of this study was to test the effect of transcranial direct current stimulation (tDCS) on face-name associative memory in older and younger adults.
Method:
Experimenters applied active (1.5 mA) or sham (0.1 mA) stimula...
Prior work demonstrates that application of transcranial direct current stimulation (tDCS) improves memory. In this study, we investigated tDCS effects on face-name associative memory using both recall and recognition tests. Participants encoded face-name pairs under either active (1.5mA) or sham (0.1mA) stimulation applied to the scalp adjacent to...
Evaluating the effectiveness of data visualizations is a challenging undertaking and often relies on one-off studies that test a visualization in the context of one specific task. Researchers across the fields of data science, visualization, and human-computer interaction are calling for foundational tools and principles that could be applied to as...
Data visualizations are used to communicate information to people in a wide variety of contexts, but few tools are available to help visualization designers evaluate the effectiveness of their designs. Visual saliency maps that predict which regions of an image are likely to draw the viewer’s attention could be a useful evaluation tool, but existin...
Although working memory (WM) training programs consistently result in improvement on the trained task, benefit is typically short-lived and extends only to tasks very similar to the trained task (i.e., near transfer). It is possible that pairing repeated performance of a WM task with brain stimulation encourages plasticity in brain networks involve...
A critical challenge in data science is conveying the meaning of data to human decision makers. While working with visualizations, decision makers are engaged in a visual search for information to support their reasoning process. As sensors proliferate and high performance computing becomes increasingly accessible, the volume of data decision maker...
‘Big data’ is a phrase that has gained much traction recently. It has been defined as ‘a broad term for data sets so large or complex that traditional data processing applications are inadequate and there are challenges with analysis, searching and visualization’ [1]. Many domains struggle with providing experts accurate visualizations of massive d...
There is a great deal of debate concerning the benefits of working memory (WM) training and whether that training can transfer to other tasks. Although a consistent finding is that WM training programs elicit a short-term near-transfer effect (i.e., improvement in WM skills), results are inconsistent when considering persistence of such improvement...
From the seminal work of Yarbus [1967] on the relationship of eye movements to vision, scanpath analysis has been recognized as a window into the mind. Computationally, characterizing the scanpath, the sequential and spatial dependencies between eye positions, has been demanding. We sought a method that could extract scanpath trajectory information...
Background
Transcranial direct current stimulation (tDCS) is a potential tool for alleviating various forms of cognitive decline, including memory loss, in older adults. However, past effects of tDCS on cognitive ability have been mixed. One important potential moderator of tDCS effects is the baseline level of cognitive performance.
Methods
We te...
The potential for bias to affect the results of knowledge elicitation studies is well recognized. Researchers and knowledge engineers attempt to control for bias through careful selection of elicitation and analysis methods. Recently, the development of a wide range of physiological sensors, coupled with fast, portable and inexpensive computing pla...
Numerous domains, ranging from medical diagnostics to intelligence analysis, involve visual search tasks in which people must find and identify specific items within large sets of imagery. These tasks rely heavily on human judgment, making fully automated systems infeasible in many cases. Researchers have investigated methods for combining human ju...
There is a great need for creating cohesive, expert cybersecurity incident response teams and training them effectively. This paper discusses new methodologies for measuring and understanding expert and novice differences within a cybersecurity environment to bolster training, selection, and teaming. This methodology for baselining and characterizi...
Vision is one of the dominant human senses and most human-computer interfaces rely heavily on the capabilities of the human visual system. An enormous amount of effort is devoted to finding ways to visualize information so that humans can understand and make sense of it. By studying how professionals engage in these visual search tasks, we can deve...
Researchers at Sandia National Laboratories are integrating qualitative and quantitative methods from anthropology, human factors and cognitive psychology in the study of military and civilian intelligence analyst workflows in the United States’ national security community. Researchers who study human work processes often use qualitative theory and...
Associative memory refers to remembering the association between two items, such as a face and a name. It is a crucial part of daily life, but it is also one of the first aspects of memory performance that is impacted by aging and by Alzheimer's disease. Evidence suggests that transcranial direct current stimulation (tDCS) can improve memory perfor...
Everyday problem solving requires the ability to go beyond experience by efficiently encoding and manipulating new information, i.e., fluid intelligence (Gf) [1]. Performance in tasks involving Gf, such as logical and abstract reasoning, has been shown to rely on distributed neural networks, with a crucial role played by prefrontal regions [2]. Syn...
A hallmark of adaptive cognition is the ability to modulate learning in response to the demands posed by different types of tests and different types of materials. Here we evaluate how older adults process out-of-context words and sentences differently by examining patterns of memory errors. In two experiments, we explored younger and older adults’...
Reports an error in "Tests of the DRYAD theory of the age-related deficit in memory for context: Not about context, and not about aging" by Aaron S. Benjamin, Michael Diaz, Laura E. Matzen and Benjamin Johnson (Psychology and Aging, 2012[Jun], Vol 27[2], 418-428). In the article, there was an error in the caption of Figure 2. The caption should hav...
Older adults exhibit a disproportionate deficit in their ability to recover contextual elements or source information about prior encounters with stimuli. A recent theoretical account, DRYAD, attributes this selective deficit to a global decrease in memory fidelity with age, moderated by weak representation of contextual information. The prediction...
Although there are many strategies and techniques that can improve memory, cognitive biases generally lead people to choose
suboptimal memory strategies. In this study, participants were asked to memorize words while their brain activity was recorded
using electroencephalography (EEG). The participants’ memory performance and EEG data revealed that...
Information visualization tools are being promoted to aid decision support. These tools assist in the analysis and comprehension
of ambiguous and conflicting data sets. Formal evaluations are necessary to demonstrate the effectiveness of visualization
tools, yet conducting these studies is difficult. Objective metrics that allow designers to compar...
Technologies that augment human cognition have the potential to enhance human performance in a wide variety of domains. However,
there are a number of individual differences in brain activity that must be taken into account during the development, validation,
and application of augmented cognition tools. A growing body of research in cultural neuro...
Effectively evaluating visualization techniques is a difficult task often assessed through feedback from user studies and expert evaluations. This work presents an alternative approach to visualization evaluation in which brain activity is passively recorded using electroencephalography (EEG). These measurements are used to compare different visual...
It has been suggested that both familiarity and recollection contribute to the recognition decision process. In this paper we leverage the form of false alarm rate functions--in which false alarm rates describe an inverted U-shaped function as the time between study and test increases--to assess how these processes support retention of semantic and...
Effectively evaluating visualization techniques is a difficult task often assessed through feedback from user studies and expert evaluations. This work presents an alternative approach to visualization evaluation in which brain activity is passively recorded using electroencephalography (EEG). These measurements are used to compare different visual...
Raven's Progressive Matrices is a widely used test for assessing intelligence and reasoning ability (Raven, Court, & Raven, 1998). Since the test is nonverbal, it can be applied to many different populations and has been used all over the world (Court & Raven, 1995). However, relatively few matrices are in the sets developed by Raven, which limits...
People falsely endorse semantic associates and morpheme rearrangements of studied words at high rates in recognition testing. The coexistence of these results is paradoxical: Models of reading that presume automatic extraction of meaning cannot account for elevated false memory for foils that are related to studied stimuli only by their visual form...
The current visual analytics literature highlights design and evaluation processes that are highly variable and situation dependent, which raises at least two broad challenges. First, lack of a standardized evaluation criterion leads to costly re-designs for each task and specific user community. Second, this inadequacy in criterion validation rais...
We have synthesized a variety of structurally diverse “Zn(OR)(Et)(solv)” and “Zn(OR)2(solv)2” where Et = CH2CH3 and solv = no bound solvent, pyridine (py), tetrahydrofuran (THF), or 1-methyl imidazole (MeIm). The ligand OR represents the following: neo-pentoxide (ONep = OCH2CMe3), tert-butoxide (OBut = OCMe3), cycloalkane-substituted methoxide n =...
Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under Contract DE -AC04-94AL85000. Approved for public release; further dissemination unlimited.