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Event-related brain potentials reveal how multiple aspects of semantic processing unfold across parafoveal and foveal vision during sentence reading

Psychophysiology

Payne, Brennan R.; Stites, Mallory C.; Federmeier, Kara D.

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Effects of Note-Taking Method on Knowledge Transfer in Inspection Tasks

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

Stites, Mallory C.; Matzen, Laura E.; Smartt, Heidi A.; Gastelum, Zoe N.

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 inspections under restrictions imposed by their hosts, regarding both their use of technology or equipment and time allotted. Moreover, because inspections are sometimes completed by different teams months apart, it is crucial that their notes accurately facilitate change detection across a delay. The current study addressed these issues by investigating how note-taking methods (e.g., digital camera, hand-written notes, or their combination) impacted memory in a delayed recall test of a complex visual array. Participants studied four arrays of abstract shapes and industrial objects using a different note-taking method for each, then returned 48–72Â h later to complete a memory test using their notes to identify objects changed (e.g., location, material, orientation). Accuracy was highest for both conditions using a camera, followed by hand-written notes alone, and all were better than having no aid. Although the camera-only condition benefitted study times, this benefit was not observed at test, suggesting drawbacks to using just a camera to aid recall. Change type interacted with note-taking method; although certain changes were overall more difficult, the note-taking method used helped mitigate these deficits in performance. Finally, elaborative hand-written notes produced better performance than simple ones, suggesting strategies for individual note-takers to maximize their efficacy in the absence of a digital aid.

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The Impact of Information Presentation on Visual Inspection Performance in the International Nuclear Safeguards Domain

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

Matzen, Laura E.; Stites, Mallory C.; Smartt, Heidi A.; Gastelum, Zoe N.

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 posit that the speed and accuracy of the inspectors can be supported and improved by designing the materials they take into the field such that the information is optimized to meet their cognitive needs. Many in-field inspection activities involve comparing inventory or shipping records to other records or to physical items inside of a nuclear facility. The organization and presentation of the records that the inspectors bring into the field with them could have a substantial impact on the ease or difficulty of these comparison tasks. In this paper, we present a series of mock inspection activities in which we manipulated the formatting of the inspectors’ records. We used behavioral and eye tracking metrics to assess the impact of the different types of formatting on the participants’ performance on the inspection tasks. The results of these experiments show that matching the presentation of the records to the cognitive demands of the task led to substantially faster task completion.

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Creating an Interprocedural Analyst-Oriented Data Flow Representation for Binary Analysts (CIAO)

Leger, Michelle A.; Butler, Karin B.; Bueno, Denis B.; Crepeau, Matthew; Cueller, Christopher R.; Godwin, Alex; Haass, Michael J.; Loffredo, Timothy; Mangal, Ravi; Matzen, Laura E.; Nguyen, Vivian; Orso, Alessandro; Reedy, Geoffrey E.; Stasko, John T.; Stites, Mallory C.; Tuminaro, Julian T.; Wilson, Andrew T.

National security missions require understanding third-party software binaries, a key element of which is reasoning about how data flows through a program. However, vulnerability analysts protecting software lack adequate tools for understanding data flow in binaries. To reduce the human time burden for these analysts, we used human factors methods in a rolling discovery process to derive user-centric visual representation requirements. We encountered three main challenges: analysis projects span weeks, analysis goals significantly affect approaches and required knowledge, and analyst tools, techniques, conventions, and prioritization are based on personal preference. To address these challenges, we initially focused our human factors methods on an attack surface characterization task. We generalized our results using a two-stage modified sorting task, creating requirements for a data flow visualization. We implemented these requirements partially in manual static visualizations, which we informally evaluated, and partially in automatically generated interactive visualizations, which have yet to be integrated into workflows for evaluation. Our observations and results indicate that 1) this data flow visualization has the potential to enable novel code navigation, information presentation, and information sharing, and 2) it is an excellent time to pursue research applying human factors methods to binary analysis workflows.

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Modeling Economic Interdependence in Deterrence Using a Serious Game

Journal on Policy and Complex Systems

Epifanovskaya, Laura W.; Lakkaraju, Kiran L.; Letchford, Joshua L.; Stites, Mallory C.; Reinhardt, Jason C.; Whetzel, Jonathan H.

In order to understand the effect of economic interdependence on conflict and on deterrents to conflict, and to assess the viability of online games as experiments to perform research, an online serious game was used to gather data on economic, political, and military factors in the game setting. These data were operationalized in forms analogous to variables from the real-world Militarized Interstate Disputes (MIDs) dataset. A set of economic predictor variables was analyzed using linear mixed effects regression models in an attempt to discover relationships between the predictor variables and conflict outcomes. Differences between the online game results and results from the real world are discussed.

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Results 26–50 of 63
Results 26–50 of 63