@inproceedings{1b24a7f587d84afcbead92adfcb30f97,
title = "Training and Verbal Communications in Human-Autonomy Teaming under Degraded Conditions",
abstract = "Verbal communication is important for coordination and performance in many team settings. However, the inclusion of autonomous artificial agents presents challenges to teamwork. This study sought to examine the effects of three different training approaches on team communication behaviors in human-autonomy teams (HATs) under normal and degraded conditions. Teams were split into three conditions prior to execution of missions in a remotely piloted aircraft system task environment: coordination training, calibration training, and control training. Analysis of text communications indicated that teams that received coordination training push information more frequently compared to teams that received control or calibration training, though this effect appeared to diminish over time. Teams in all three conditions pulled information equally, with a reduction in frequency over time. It was also found that teams that received coordination training were more likely to overcome failures attributed to the autonomous agent's cognitive capacities. This research suggests that coordination training in HATs may be effective at influencing team verbal behaviors, however the extent of this effect requires further examination. ",
keywords = "communication, coordination, human autonomy teaming, remotely piloted aircraft systems, team training",
author = "Johnson, {Craig J.} and Mustafa Demir and Zabala, {Garrett M.} and Hongbei He and Grimm, {David A.} and Cody Radigan and Wolff, {Alexandra T.} and Cooke, {Nancy J.} and McNeese, {Nathan J.} and Gorman, {Jamie C.}",
note = "Funding Information: This research is supported by ONR Award N000141712382 (Program Managers: Marc Steinberg, Micah Clark). We also acknowledge the assistance of Steven M. Shope from Sandia Research Corporation who developed the synthetic teammate testbed for the current experiment, and Tanvi Tendoklar who assisted with data collection. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020 ; Conference date: 24-08-2020 Through 28-08-2020",
year = "2020",
month = aug,
doi = "10.1109/CogSIMA49017.2020.9216061",
language = "English (US)",
series = "Proceedings - 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "53--58",
editor = "Galina Rogova and Nicolette McGeorge and Alicia Ruvinsky and Scott Fouse and Mary Freiman",
booktitle = "Proceedings - 2020 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2020",
}