Abstract
Sensor-based, mobile behavioral analytics have much potential for adaptive human-machine interactivity in team- and multiteam-based, live simulation training. This paper will explore a human-technology adaptive system where real-time data is generated from multiple sensor systems to inform multiteam-based training. Examples from first responder law enforcement training contexts will be discussed as well as the future potential of these sensor-based technologies to iteratively and adaptively inform both the smart technology system and the human system in a reciprocal learning cycle.
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References
Bannan, B., Dubrow, S., Dobbins, C., Zaccaro, S., Purohit, H., Rana, M.: Toward wearable devices for multiteam systems learning. In: Buchem, I., Klamma, R., Wild, F. (eds.) Perspectives on Wearable Enhanced Learning (WELL), pp. 79–95. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-64301-4_4
Bell, B., Sottilare, R.: Adaptation vectors for instructional agents. In: Sottilare, R.A., Schwarz, J. (eds.) HCII 2019. LNCS, vol. 11597, pp. 3–14. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22341-0_1
Bond, W.F., et al.: The use of simulation in emergency medicine: a research agenda. Acad. Emerg. Med. 14(4), 353–363 (2007). https://doi.org/10.1197/j.aem.2006.11.021
Buck, D.A., Trainor, J.E., Aguirre, B.E.: A critical evaluation of the incident command system and NIMS. J. Homel. Secur. Emerg. Manag. 3(3), 1–27 (2006). https://doi.org/10.2202/1547-7355.1252
Cohen, D., et al.: Tactical and operational response to major incidents: feasibility and reliability of skills assessment using novel virtual environments. Resuscitation 84, 992–998 (2012)
Feese, S., Arnrich, B., Troster, G., Burtscher, M., Meyer, B., Jonas, K.: CoenoFire: monitoring performance indicators of firefighters in real-world missions using smartphones. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 83–92. ACM (2013)
Kolb, D.A.: Experiential Learning Experience as the Source of Learning and Development. Prentice Hall, Upper Saddle River (1984)
Kolb, D.A., Boyatzis, R.E., Mainemelis, C., et al.: Experiential learning theory: previous research and new directions. Perspect. Thinking Learn. Cogn. Styles 1(8), 227–247 (2001)
Marks, M.A., DeChurch, L.A., Mathieu, J.E., Panzer, F.J., Alonso, A.: Teamwork in multiteam systems. J. Appl. Psychol. 90(5), 964–971 (2005). https://doi.org/10.1037/0021-9010.90.5.964
Mathieu, J.E., Marks, M.A., Zaccaro, S.J.: Multiteam systems. In: Anderson, N., Ones, D.S., Sinangil, H.K., Viswesvaran, C. (eds.) Organizational Psychology: Handbook of Industrial, Work and Organizational Psychology, London, 2nd edn, vol. 2, pp. 289–313 (2001)
Purohit, H., Dubrow, S., Bannan, B.: Designing a multimodal analytics system to improve emergency response training. In: Zaphiris, P., Ioannou, A. (eds.) HCII 2019. LNCS, vol. 11590, pp. 89–100. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21814-0_8
Salas, E., Burke, C.S.: Simulation for training is effective when…. BMJ Qual. Saf. 11(2), 119–120 (2002)
Sottilare, R.A., Schwarz, J.: HCII 2019. LNCS, vol. 11597. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22341-0
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This material is based upon work supported by the Center for Innovative Technology (CIT) and the Department of Homeland Security (DHS) Science and Technology Directorate. Any opinions, findings and conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the sponsors.
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Bannan, B., Torres, E.M., Purohit, H., Pandey, R., Cockroft, J.L. (2020). Sensor-Based Adaptive Instructional Systems in Live Simulation Training. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. HCII 2020. Lecture Notes in Computer Science(), vol 12214. Springer, Cham. https://doi.org/10.1007/978-3-030-50788-6_1
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DOI: https://doi.org/10.1007/978-3-030-50788-6_1
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