Abstract
Next Generation Combat Vehicles (NGCVs) are incorporating more advanced technology which will enable humans and intelligent artificial agents to team up on the battlefield. Effective system design and evaluation for these human–agent teams require an understanding of individual and team tasks in the context of larger-scale operations. Previous taxonomies of human–automation interaction and human–agent teaming have been proposed, however, there is a lack of work focused on team interactions in the military domain and the teamwork dynamics required for our purposes are not captured. Unstructured interviews with subject matter experts, manuals, and relevant literature were synthesized, and a task analysis was conducted to develop a novel interaction taxonomy approach consisting of three primary categories, each with multiple dimensions: task, team composition, and communication. This taxonomy may generalize into human–agent teaming within a variety of NGCV crews and serve as a model for characterizing human–agent team interactions in other domains.
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We thank our sponsor, the U.S. Army Research Laboratory, under the Cooperative Agreement No. W911-NF-18-2-0271. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. government.
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Johnson, C.J., Lematta, G.J., Huang, L., Holder, E., Bhatti, S., Cooke, N.J. (2021). An Interaction Taxonomy of Human–Agent Teaming in Next Generation Combat Vehicle Systems. In: Zallio, M. (eds) Advances in Human Factors in Robots, Drones and Unmanned Systems. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1210. Springer, Cham. https://doi.org/10.1007/978-3-030-51758-8_2
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DOI: https://doi.org/10.1007/978-3-030-51758-8_2
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