PUBLICATIONS
PUBLICATIONS
Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
Pfeffer, A., Harradon, M., Campolongo, J., and Cvijic, S. arXiv:2110.02325 (October 2021) We introduce Scruff, a new framework for developing AI systems using probabilistic programming. Scruff enables a variety of representations to be included, such as code with stochastic choices,
Demonstration of an Explainable AI System Performing Human-Machine Teaming in a Real-Time Strategy Game
Moody, V., Druce, J., and Niehaus, J. Educational Advances in Artificial Intelligence 2022 (EAAI-22) (February 2022) In this paper we demonstrate the use of an Explainable Artificial Intelligence (XAI) system that enables users to team effectively with Artificial Intelligence (AI)
Toward Intuitive Understanding of Complex Astrodynamics Using Distributed Augmented Reality
Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI (September 2021) Stouch, D., Balasuriya, U., Hyland, R., Bird, L., Jenkins, M., and Kingsley, C. Existing capabilities and future possibilities can help multiple users build an intuitive understanding of
Design and Development of a Prototype Heads-up Display that Supports Context-aware, Semi-automated, Hands-free Medical Documentation
McGeorge, N., Latiff, S., Muller, C., Dong, L., Chewning, C., Friedson-Trujillo, D., and Kane, S. International Symposium on Human Factors and Ergonomics in Health Care, HFES, 2021, Virtual Symposium. Military and civilian medical personnel across all echelons of medical care
HyWorM: An Experiment in Dynamic Improvement of Analytic Processes
Trewhitt, E.1, Whitaker, E.1, Veinott, E.2, Thomas, R.3, Riley, M.1, McDermott, A.4, Eusebi, L.4, Dougherty, M.5, Illingworth, D.5, Guarino, S.4 International Conference on Human-Computer Interaction (July 2021) HyWorM is an approach and implementation for guiding analytic sensemaking processes using the
Applying Adaptive Intelligent Tutoring Techniques to Physical Fitness Training Programs
Voge, J.1, Negri, A.1, Woodall, P.1, Thayer, D.1, Ruby, B.2, Hailes, W.2, Reinert, A.3, Niehaus, J.1, and Lynn, S.1 To appear in Proceedings of the 3rd International Conference on Adaptive Instructional Systems, held as part of the 23rd International Conference
Towards Incorporating Artificial Intelligence in the Mission Planning Process
Kane, S., Moody, V, and Harradon, M. HCI International, Washington, DC (June 2021) While there are numerous powerful tools to support Navy mission planning, the mission planning process still remains a hybrid planning activity across human operators and advanced tools.
Developing an Adaptive Framework to Support Intelligence Analysis
McDermott, A.1, Veinott, E.2, Eusebi, L.1, Whitaker, E.3, Trewhitt, E.3, Mueller, S.2, Illingworth, D.4, Thomas, R.3, Dougherty, M.4, Guarino, S.1 International Conference on Human-Computer Interaction 2021 An essential component to intelligence analysis is inferring an explanation for uncertain, contradictory, and
Can Situation Awareness Be Measured Physiologically?
Bracken, B.1, Tobyne, S.1, Winder, A.1, Shamsi, N.1, Endsley, M.2 Advances in Neuroergonomics and Cognitive Engineering (July 2021) To operate effectively across a variety of environments, personnel (e.g., air traffic controllers, pilots, truck drivers, emergency response crews) must develop and
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program
Druce, J.1, Niehaus, J.2, Moody, V.1, Jensen, D.2, Littman, M.3 arXiv:2106.05506v1 (June 2021) The advances in artificial intelligence enabled by deep learning architectures are undeniable. In several cases, deep neural network driven models have surpassed human level performance in benchmark
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Unifying AI Algorithms with Probabilistic Programming using Implicitly Defined Representations
Pfeffer, A., Harradon, M., Campolongo, J., and Cvijic, S. arXiv:2110.02325 (October 2021) We introduce Scruff, a new framework for developing AI systems using probabilistic programming. Scruff enables a variety of representations to be included, such as code with stochastic choices,
Demonstration of an Explainable AI System Performing Human-Machine Teaming in a Real-Time Strategy Game
Moody, V., Druce, J., and Niehaus, J. Educational Advances in Artificial Intelligence 2022 (EAAI-22) (February 2022) In this paper we demonstrate the use of an Explainable Artificial Intelligence (XAI) system that enables users to team effectively with Artificial Intelligence (AI)
Toward Intuitive Understanding of Complex Astrodynamics Using Distributed Augmented Reality
Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI (September 2021) Stouch, D., Balasuriya, U., Hyland, R., Bird, L., Jenkins, M., and Kingsley, C. Existing capabilities and future possibilities can help multiple users build an intuitive understanding of
Design and Development of a Prototype Heads-up Display that Supports Context-aware, Semi-automated, Hands-free Medical Documentation
McGeorge, N., Latiff, S., Muller, C., Dong, L., Chewning, C., Friedson-Trujillo, D., and Kane, S. International Symposium on Human Factors and Ergonomics in Health Care, HFES, 2021, Virtual Symposium. Military and civilian medical personnel across all echelons of medical care
HyWorM: An Experiment in Dynamic Improvement of Analytic Processes
Trewhitt, E.1, Whitaker, E.1, Veinott, E.2, Thomas, R.3, Riley, M.1, McDermott, A.4, Eusebi, L.4, Dougherty, M.5, Illingworth, D.5, Guarino, S.4 International Conference on Human-Computer Interaction (July 2021) HyWorM is an approach and implementation for guiding analytic sensemaking processes using the
Applying Adaptive Intelligent Tutoring Techniques to Physical Fitness Training Programs
Voge, J.1, Negri, A.1, Woodall, P.1, Thayer, D.1, Ruby, B.2, Hailes, W.2, Reinert, A.3, Niehaus, J.1, and Lynn, S.1 To appear in Proceedings of the 3rd International Conference on Adaptive Instructional Systems, held as part of the 23rd International Conference
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