Publications

Results 126–150 of 153

Search results

Jump to search filters

Measuring expert and novice performance within computer security incident response teams

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Silva, Austin R.; Avina, Glory E.; Mcclain, Jonathan T.; Matzen, Laura E.; Forsythe, James C.

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 characterizing individuals and teams relies on relating eye tracking gaze patterns to psychological assessments, human-machine transaction monitoring, and electroencephalography data that are collected during participation in the game-based training platform Tracer FIRE. We discuss preliminary findings from two pilot studies using novice and professional teams.

More Details

Effects of non-invasive brain stimulation on associative memory

Brain Research

Matzen, Laura E.; Trumbo, Michael C.S.; Leach, Ryan C.; Leshikar, Eric D.

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 performance, but few tDCS studies have investigated its impact on associative memory. In addition, no prior study of the effects of tDCS on memory performance has systematically evaluated the impact of tDCS on different types of memory assessments, such as recognition and recall tests. In this study, we measured the effects of tDCS on associative memory performance in healthy adults, using both recognition and recall tests. Participants studied face-name pairs while receiving either active (30 min, 2 mA) or sham (30 min, 0.1 mA) stimulation with the anode placed at F9 and the cathode placed on the contralateral upper arm. Participants in the active stimulation group performed significantly better on the recall test than participants in the sham group, recalling 50% more names, on average, and making fewer recall errors. However, the two groups did not differ significantly in terms of their performance on the recognition memory test. This investigation provides evidence that stimulation at the time of study improves associative memory encoding, but that this memory benefit is evident only under certain retrieval conditions.

More Details

Effects of Transcranial Direct Current Stimulation (tDCS) on Human Memory

Matzen, Laura E.; Trumbo, Michael C.S.

Training a person in a new knowledge base or skill set is extremely time consuming and costly, particularly in highly specialized domains such as the military and the intelligence community. Recent research in cognitive neuroscience has suggested that a technique called transcranial direct current stimulation (tDCS) has the potential to revolutionize training by enabling learners to acquire new skills faster, more efficiently, and more robustly (Bullard et al., 2011). In this project, we tested the effects of tDCS on two types of memory performance that are critical for learning new skills: associative memory and working memory. Associative memory is memory for the relationship between two items or events. It forms the foundation of all episodic memories, so enhancing associative memory could provide substantial benefits to the speed and robustness of learning new information. We tested the effects of tDCS on associative memory, using a real-world associative memory task: remembering the links between faces and names. Working memory refers to the amount of information that can be held in mind and processed at one time, and it forms the basis for all higher-level cognitive processing. We investigated the degree of transfer between various working memory tasks (the N-back task as a measure of verbal working memory, the rotation-span task as a measure of visuospatial working memory, and Raven's progressive matrices as a measure of fluid intelligence) in order to determine if tDCS-induced facilitation of performance is task-specific or general.

More Details

Frequency-Dependent Enhancement of Fluid Intelligence Induced by Transcranial Oscillatory Potentials

Current Biology

Matzen, Laura E.

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]. Synchronization of neuronal activity in the gamma band is a ubiquitous phenomenon within the brain; however, no evidence of its causal involvement in cognition exists to date [3]. Here, we show an enhancement of Gf ability in a cognitive task induced by exogenous rhythmic stimulation within the gamma band. Imperceptible alternating current [4] delivered through the scalp over the left middle frontal gyrus resulted in a frequency-specific shortening of the time required to find the correct solution in a visuospatial abstract reasoning task classically employed to measure Gf abilities (i.e., Raven’s matrices) [5]. Crucially, gamma-band stimulation (γ-tACS) selectively enhanced performance only on more complex trials involving conditional/logical reasoning. The finding presented here supports a direct involvement of gamma oscillatory activity in the mechanisms underlying higher-order human cognition.

More Details

Evaluating information visualizations with working memory metrics

Communications in Computer and Information Science

Bandlow, Alisa; Matzen, Laura E.; Cole, Kerstan; Dornburg, Courtney C.; Geiseler, Charles J.; Mcnamara, Laura A.; Adams, Susan S.

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 compare the amount of work required for users to operate a particular interface are lacking. This in turn makes it difficult to compare workload across different interfaces, which is problematic for complicated information visualization and visual analytics packages. We believe that measures of working memory load can provide a more objective and consistent way of assessing visualizations and user interfaces across a range of applications. We present initial findings from a study using measures of working memory load to compare the usability of two graph representations. © 2011 Springer-Verlag.

More Details

Using computational modeling to assess use of cognitive strategies

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Haass, Michael J.; Matzen, Laura E.

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 a self-testing (retrieval practice) strategy could improve memory. The majority of the participants did not use self-testing, but computational modeling revealed that a subset of the participants had brain activity that was consistent with this optimal strategy. We developed a model that characterized the brain activity associated with passive study and with explicit memory testing. We used that model to predict which participants adopted a self-testing strategy, and then evaluated the behavioral performance of those participants. This analysis revealed that, as predicted, the participants whose brain activity was consistent with a self-testing strategy had better memory performance at test. © 2011 Springer-Verlag.

More Details

Cultural neuroscience and individual differences: Implications for augmented cognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Matzen, Laura E.

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 neuroscience has shown that there are substantial differences in how people from different cultural backgrounds approach various cognitive tasks. In addition, there are many other types of individual differences and even changes in a single individual over time that have implications for augmented cognition research and development. The aim of this session is to highlight a few of those differences and to discuss how they might impact augmented cognition technologies. © 2011 Springer-Verlag.

More Details
Results 126–150 of 153
Results 126–150 of 153