Government Publications

Dennison Jr, M. and Trout, T. (2022, Aug). AuroraXR – Motivations and Objectives for Achieving an Interoperable Framework for Cross-Reality Applications. In US DEVCOM Army Research Lab Technical Reports. ARL-TR-9524.

Hawkins, T., Maness, M., Dennison, M., & Khooshabeh, P. (2022, Jan). Redefining Reality - Creating a Metaverse Model for Mission Planning. In Army ALT Magazine.

Dennison Jr, M. and Trout, T. (2020, Apr). The Accelerated User Reasoning for Operations, Research, and Analysis (AURORA) Cross-Reality Common Operating Picture. In US DEVCOM Army Research Lab Technical Reports. ARL-TR-8942.

Current Publications

Lee, M., Tweedell, A., Dennison Jr, M., Sabbagh, P., Conroy, J., Trout, T., ... & Lance, B. (2022, May). Modeling and analysis of motion data from dynamic soldier state estimation to enable situational understanding. In Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations III (Vol. 12125, pp. 140-146). SPIE.

Goecks, V.G., Waytowich, N., Asher, D.E., Jun Park, S., Mittrick, M., Richardson, J., Vindiola, M., Logie, A., Dennison, M., Trout, T. and Narayanan, P., 2022. On games and simulators as a platform for development of artificial intelligence for command and control. The Journal of Defense Modeling and Simulation, p.15485129221083278.

Sharma, P. K., Dennison, M., & Raglin, A. (2021). Iot solutions with multi-sensor fusion and signal-image encoding for secure data transfer and decision making. arXiv preprint arXiv:2106.01497.

Trout, T. T., Risinger, E., Raber, T., & Dennison Jr, M. (2021, May). An intelligent information mediation framework to enable decentralized decision-making in immersive environments. In Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations II (Vol. 11759, pp. 151-158). SPIE.

Stanney, K., Lawson, B. D., Rokers, B., Dennison, M., Fidopiastis, C., Stoffregen, T., ... & Fulvio, J. M. (2020). Identifying Causes of and Solutions for Cybersickness in Immersive Technology: Reformulation of a Research and Development Agenda. International Journal of Human–Computer Interaction, 36(19), 1783-1803.

Marlin, B. M., Abdelzaher, T., Ciocarlie, G., Cobb, A. D., Dennison, M., Jalaian, B., ... & Wigness, M. (2020, October). On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. In 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI) (pp. 82-91). IEEE.

Raber, T. R., Files, B. T., Pollard, K. A., Oiknine, A. H., & Dennison, M. S. (2020, July). Visualizing Quantitative Uncertainty: A Review of Common Approaches, Current Limitations, and Use Cases. In International Conference on Applied Human Factors and Ergonomics (pp. 56-62). Springer, Cham.

Raglin, A., Dennison, M., Metu, S., Trout, T., & James, D. (2020, April). Decision making with uncertainty in immersive systems. In Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations (Vol. 11426, p. 114260L). International Society for Optics and Photonics.

Dennison, M., Reardon, C., Gregory, J., Trout, T., & Rogers III, J. G. (2020, April). Creating a mixed reality common operating picture across C2 echelons for human-autonomy teams. In Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations (Vol. 11426, p. 114260M). International Society for Optics and Photonics.

Dennison, M. S., & Trout, T. T. (2020). The Accelerated User Reasoning for Operations, Research, and Analysis (AURORA) Cross-Reality Common Operating Picture. Combat Capabilities Development Command Adelphi.

Dennison, M., Mittrick, M., Richardson, J., Trout, T., Raglin, A., Heilman, E., & Hanratty, T. (2019, July). Evaluation of immersive interfaces for tactical decision support. In International Conference on Human-Computer Interaction (pp. 428-440). Springer, Cham.

Dennison Jr, M., D'Zmura, M., Harrison, A., Lee, M., & Raglin, A. (2019, May). Improving motion sickness severity classification through multi-modal data fusion. In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications (Vol. 11006, p. 110060T). International Society for Optics and Photonics.

Dennison, M. Mittrick, M., Richardson, J., Trout, T., Raglin, A., Heilman, E. and Hanratty, T. 2019. Evaluation of immersive interfaces for tactical decision support. HCI International 2019.

Dennison, M., D’Zmura, M., Harrison, A., Lee, M., and Raglin, A. 2019. Improving motion sickness severity classification through multi-modal data fusion. SPIE Defense and Commercial Sensing 2019.

Mittrick, M., Dennison, M., Richardson, J., Trout, T., Raglin, A., Heilman, E. and Hanratty, T. 2019. Investigating Immersive Collective Intelligence. SPIE Defense and Commercial Sensing 2019.

Dennison, M. and Krum, D. 2019. Unifying Research to Address Motion Sickness. WISP IEEE VR 2019.

Dennison, M. Thomas, J., Trout, T. and Rosenberg, E.S. 2018. Assessing the quantitative and qualitative effects of using mixed reality for operational decision making. 23rd ICCRTS Conference.

Dennison, M. and D'Zmura, M. Effects of unexpected visual motion on postural sway and motion sickness. Displays. DOI: 10.1016/j.apergo.2018.03.015.

Neubauer, C., Chollet, M., Mozgai, S., Dennison, M., Khooshabeh, P., Scherer, S. The relationship between task-induced stress, vocal changes, and physiological state during a dyadic team task. Proceedings of the 19th ACM International Conference on Multimodal Interaction. DOI: 10.1145/3136755.3136804.

Dennison, M., Neubauer, C., Passaro, T., Harrison, A. Scherer, S. & Khooshabeh, P. (2016). Using cardiovascular features to classify state changes during cooperation in a simulated bomb defusal task. Physiologically Aware Virtual Agents Workshop, International Conference on Intelligent Virtual Agents (IVA).

Norman, S., Dennison, M., Wolbrecht, E., Cramer, S., Srinivasan, R. & Reinkensmeyer, D. (2016). Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. DOI: 10.1109/TNSRE.2016.2528167.

Dennison, M. and D’Zmura, M. (2016). Cybersickness without the wobble: experimental results speak against cybersickness. Applied Ergonomics. DOI: 10.1016/j.apergo.2016.06.014.

Dennison, M., Wisti, Z., & D’Zmura, M. (2016). Use of physiological signals to predict cybersickness. Displays. DOI: 10.1016/j.displa.2016.07.002.

Invited Talks

Implications of motion sickness for military operations: from training to the battlefield. ACM SIGGRAPH Workshop on Cybersickness: Causes and Solutions. (July 2019).

Accelerating decision making using mixed reality. Association of the United States Army (AUSA) Global Force Symposium. (March 2018). 

Using cardiovascular features to classify state changes during cooperation in a simulated bomb defusal task. Physiologically Aware Virtual Agents Workshop, International Conference on Intelligent Virtual Agents (September 2016)

Cybersickness without the wobble. University of California, Irvine, Department of Cognitive Sciences Colloquium Series (November 2015)

Effects of parietal TMS on visual attention. University of California, Irvine, Undergraduate Research Opportunity Program Symposium (UROP) (June 2013)

Posters

Dennison, M. IoBT Visualization in Mixed Reality for C5ISR Decision-Making. Internet of Battlefield Things (IoBT) CRA Bootcamp, Georgetown University, DC. (2019)

Neubauer, C., Chollet, M., Mozgai, S., Dennison, M., Khooshabeh, P., Scherer, S. The Relationship
between Task-Induced Stress, Vocal Changes and Physiological State during a Dyadic Team Task. Proceedings
of 19th ACM International Conference on Multimodal Interaction.
Glasgow, Scotland. (2017).

Dennison, M. & Schneider, M. Association between frontal cortical activation and the Behavioral Activation System (BAS). UROP Symposium, University of California, Irvine. Irvine, CA. (2012).

Television

Featured on the Science Channel show Black Files Declassified. Season 2 - Episode 9, “Red Cell Secrets.”