Unmanned Vehicle Onboard Autonomy for Adaptive Ocean Sampling
Balasuriya, A. Invited talk at Naval Research Lab, Stennis Space Center (December 2017) Charles River Analytics is developing a range of technologies to improve the onboard intelligence of unmanned vehicles. In this talk, I will present some of our products developed for marine unmanned systems improving their onboard intelligence. These autonomy modules are implemented on […]
Development of an Autonomous Mobile Marine Meteorological Station – SWIMS
Balasuriya, A., Pennington, T., Scudere, T., McCann, Thayer, R., and Wronski, R. Proceedings of IEEE OCEANS 2017, Anchorage, AK (September 2017). Currently, atmospheric data is collected at the air-sea boundary layer by releasing radiosondes from surface ships or by mounting sensors to aircraft. Sea surface data is measured by either remote sensing or by attaching sensors […]
Modeling Junctional Tourniquet Skills from Empirical Data
Bauchwitz, B.1, Kwan, C.2, Curley, T.3 Niehaus, J.1, Pugh, C.2, and Weyhrauch, P.1 Presented at the Military Health System Research Symposium (MHSRS), Kissimmee FL (August 2017) Background The control of junctional hemorrhage, a serious life-threatening issue facing combat personnel, has benefited from recent technological advances such as the development of the SAM® Junctional Tourniquet (SJT) and Abdominal […]
A System to Monitor, Extract, and Decode Indicators of Cognitive Workload (MEDIC) in Realistic, High-motion Environments
Bracken, B.1, Elkin-Frankston, S.1, Palmon, N.1, deB Frederick, B.2 Presented at the Military Health System Research Symposium, Kissimmee, FL (August 2017). Background Army medic training often includes high-fidelity simulations. Trainers currently infer competence by observation alone—a challenging task. We designed a system to continuously monitor physiological proxies for cognitive workload to augment performance observations. Assessing cognitive […]
A System to Monitor Cognitive Workload in Naturalistic, High-motion Environments
Bracken, B.1, Elkin-Frankston, S.1, Palmon, N1, Farry, M.1, and deB Frederick, B.2 Presented at the 1st International Symposium on Human Mental Workload: Models and Applications (H-WORKLOAD 2017), Dublin, Ireland (June 2017) Across many careers, individuals face alternating periods of high and low attention and cognitive workload can impair cognitive function and undermine job performance. We have […]
An Unobtrusive System to Measure, Assess, and Predict Cognitive Workload in Real-world Environments
Bracken, B., Palmon, N., Elkin-Frankston, S., Irvin, S., Jenkins, M., and Farry, M. Keynote presented at BIOSTEC 2017, the 10th International Joint Conference on Biomedical Engineering Systems and Technologies, Porto, Portugal (February 2017) Across many careers, individuals face alternating periods of high and low attention and cognitive workload, which can result in impaired cognitive functioning and […]
A Toolkit to Assist Researchers to More Efficiently Conduct Experiments Assessing Human State
Bracken, B., Palmon, N., Koelle, D., and Farry, M. Presented at the Human Factors and Ergonomics Society International Annual Meeting, Austin, TX (October 2017) For teams to perform effectively, individuals must focus on their own tasks, while simultaneously maintaining awareness of other team members. Researchers studying and attempting to optimize performance of teams as well as […]
Testing the Usability of a Decision-Support System for Increasing Environmental Awareness
Danczyk, J., Jacobs, P., Montgomery, O., Jenkins, M., and Farry, M. Presented at the 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), Savannah, GA (March 2017) Military facility managers must track repeated contaminant release that occurs from scheduled training exercises to mitigate the effects of those releases before negative effects occur. Training […]
Automatic Differentiation Equipped Variable Elimination for Sensitivity Analysis on Probabilistic Inference Queries
Druce, J.1, Ruttenberg, B.1, Blumstein, D.1, and Scofield, D.2 Presented at the Conference on Neural Information Processing Systems (NIPS), Long Beach, CA (December 2017) Probabilistic Models are a natural framework for describing the stochastic relationships between variables in a system to perform inference tasks, such as estimating the probability of a specific set of conditions or […]
Cognitive Assessment and Monitoring Platform For Integrative Research (CAMPFIRE)
Elkin-Frankston, S. Presented at the 2017 HealthMeasures User Conference, Chicago, IL (September 2017) Over 14.5 million individuals in the United States today either live with or have a history of cancer (American Cancer Society, 2016). Thanks to rapid advances in cancer treatments, including surgery, chemotherapy, radiation, and other targeted biological therapies, an estimated 19 million cancer […]
Strengthening Health and Improving Emotional Defenses (SHIELD)
Elkin-Frankston, S., Niehaus, J., and Wollocko, A. Presented at the Second Annual Global Brain Health and Performance Summit, Columbus, Ohio (April 2017) The psychological stress experienced by Marines has a profound impact on health and performance that reaches beyond the individual; it affects job performance, interactions with family and peers. The DoD has devoted substantial resources […]
Designing a Pragmatic Graphical Grammar
Eusebi, L., and Guarino, S. Presented at the 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), Savannah, GA (March 2017) Modern adversaries have become more proficient in conducting cyberattacks against our military’s command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of […]
Probabilistic Model-Based Programming Techniques for Prediction, Analysis, and Control (PROMPT)
Harrison, S., Takata, G., Wu, C., and Pfeffer, A. Presented at the 15th Annual Conference on Systems Engineering Research Disciplinary Convergence: Implications for Systems Engineering Research, Redondo Beach, CA (March 2017) Model-based systems engineering (MBSE) frameworks such as SysML provide declarative descriptions of the structure, processes, functions, and context of a system. However, these frameworks do not […]
Predicting Signatures of Future Malware Variants
Howard, M., Pfeffer, A., Dalal, M., and Reposa, M. The 12th International Conference on Malicious and Unwanted Software (MALWARE 2017) One of the challenges of malware defense is that the attacker has the advantage over the defender. In many cases, an attack is successful and causes damage before the defender can even begin to prepare […]
Towards a Connected Bicycle to Communicate with Vehicles and Infrastructure
Jenkins, M., Duggan, D., and Negri, A. Presented at the 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), Savannah, GA (March 2017) The Connected Vehicles (CV) program is a multimodal US Department of Transportation (USDOT) initiative that enables safer, smarter, and greener surface transportation using dedicated wireless communication technology. Although significant efforts […]
A Multi-modal Interface for Natural Operator Teaming with Autonomous Robots (MINOTAUR)
Kane, S., McGurgan, K., Voshell, M., Monnier, C., German, S., and Ost, A. Presented at the 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, CA (July 2017) Dismounted squads face logistical problems, including the management of physical burdens in complex operating environments. Autonomous unmanned ground vehicles (UGVs) can help transport equipment […]
Scratchpad: Lightweight Data Capture Tools to Support Mission Planning
Kane, S., von Kelsch, E., Muller, C., and Hogan, C. Presented at the 19th International Conference on Human-Computer Interaction (HCII 2017), Vancouver, Canada (July 2017) Powerful tools are available to support the mission planning process. Although these tools provide support to multiple components, they do not support the dynamic nature of the process over time. Pilots […]
A Mission Library for Mission Plan Management
Kane, S., and von Kelsch, E. Presented at the 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, CA (July 2017) When Navy pilots create a new mission plan, they frequently build off of prior missions. Specifically, they duplicate a “master” mission plan that contains official settings, operational specifications, and other information […]
Long-Range Forecasting Using COMPASS Machine Learning
O’Connor, A.1, Bell, R.2, Kirtman, B.2, and Gorman, J.1 Presented at the 7th International Workshop of Climate Informatics hosted by the National Center for Atmospheric Research, Boulder, CO (September 2017) The Climatological Observations for Maritime Prediction and Analysis Support Service (COMPASS) uses machine learning to create long-range forecasts of the probability that future conditions will differ from […]
Probabilistic Modeling of Insider Threat Detection Systems
Ruttenberg, B.1, Blumstein, D.1, Druce, J.1, Howard, M.1, Reed, F.1, Wilfong, L.2, Lister, C.2, Gaskin, S.3, Foley, M.4, and Scofield, D.4 Presented at The Fourth International Workshop on Graphical Models for Security (GraMSec 2017), Santa Barbara, CA (August 2017) Due to the high consequences of poorly performing automated insider threat detection systems (ITDSs), it is advantageous […]
Combining Data-Driven and Theory-Driven Models for Causality Analysis in Sociocultural Systems
Sliva, A. Presented at the Current Challenges in Computing (CCubed) Conference, Napa, CA (September 2017) To better understand and describe sociocultural systems, it is critical that we can create, analyze, and validate social, political, and economic models that capture causal and predictive dynamics. Causality is, however, notoriously difficult to analyze, a challenge amplified by the complexity of […]
Hybrid Modeling of Cyber Adversary Behavior
Sliva, A., Guarino, S., Weyhrauch, P., Galvin, P., Mitchell, D., Campolongo, J., and Taylor, T. Presented at the International Conference on Social Computing, Behavioral Modeling, and Prediction, Washington, DC (July 2017). Cyber adversaries continue to become more proficient and sophisticated, increasing the vulnerability of the network systems that pervade all aspects of our lives. While there are […]
A Probabilistic Approach to Improve Offensive and Defensive Space Control Course of Action Effectiveness
Stouch, D., Gorman, J., and Ruttenberg, B. Air Force Research Laboratory Space Situational Awareness Conference, Kihei, HI (September 2017) Satellites are continually at risk of collision and subject to malicious activity. We must understand the nature (i.e., severity, location, source, timing) of these threats to protect our space assets and respond effectively. A rapid, comprehensive […]
Techniques for Managing Stale Mission Information through Card-Based Interfaces
von Kelsch, E., Kane, S., and Muller, C. Presented at the 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, CA (July 2017) Powerful tools exist to support mission planning with complex decision making demands. However, these tools are unable to update missions with updated data or provide support for data […]
Virtual Patient Simulation with Objective Metrics for Primary and Secondary Trauma Assessment
Weyhrauch, P.1, Niehaus, J.1, Bauchwitz, B.1, Broach, J.2, Lancette, P.J.2,3, and Ritter, F.E.4 Presented at the Military Health System Research Symposium (MHSRS), Kissimmee FL (August 2017) Background One commonly used approach to training trauma assessment and other emergency medicine skills is simulation-based training, allowing trainees to practice their skills with simulated patient scenarios. This approach often […]
Cognitive Control and Neuroeconomics
Winecoff, A. and Huettel, S. In T. Egner (Ed.), The Wiley Handbook of Cognitive Control. West Sussex: John Wiley & Sons, Ltd. (2017). The field of neuroeconomics aims to answer questions related to the neural mechanisms of reward function, decision making, risk and uncertainty processing in both social and non-social situations. Though neuroeconomics shares common […]
Objective Sensor-based Feedback Improves Performance of Skill in Applying Junctional Hemorrhage Control Devices
Bauchwitz, B.1, Kwan, C.2, Niehaus, J.1, Pugh, C.2, and Weyhrauch, P.1 Presented at the Military Health System Research Symposium (MHSRS), Kissimmee FL (August 2017) Background Junctional and inguinal bleeding from battlefield injuries is a significant and challenging problem. Inventors have developed new devices, such as the SAM® Junctional Tourniquet (SJT) to address these injuries. While several […]
