TY - JOUR
T1 - Is more information better? How dismounted soldiers use video feed from unmanned vehicles
T2 - Attention allocation and information extraction considerations
AU - Ophir-Arbelle, Ronny
AU - Oron-Gilad, Tal
AU - Borowsky, Avinoam
AU - Parmet, Yisrael
N1 - Funding Information: We would like to acknowledge the support of Lt. Colonel Einav Kiperman and Major Yaniv Minkov from the Israeli Defense Force (IDF) and the entire IDF Battle Lab team. Funding Information: This work was supported by the U.S. Army Research Laboratory through the Micro-Analysis and Design CTA Grant DAAD19-01C0065, Task Order 113 (Michael Barnes, technical monitor). The views expressed in this work are those of the authors and do not reflect official army policy.
PY - 2013/3/1
Y1 - 2013/3/1
N2 - Operational tactics in urban areas are often aided by information from unmanned aerial vehicles (UAVs). A major challenge for dismounted soldiers, particularly in urban environments, is to understand the conflict area in general and particularly from the UAV feed. The UAV feed is usually used to enhance soldiers' situation awareness abilities but less for identifying specific elements. A possible way to further enhance soldiers' abilities is to provide them with multiple sources of information (e.g., aerial and ground views). This study examined the benefits of presenting video feed from UAVs and unmanned ground vehicles (UGVs) in a combined interface, relative to presenting aerial feed alone. Thirty former infantry soldiers with no experience in operating unmanned vehicles participated. Objective performance, subjective evaluations, and eyetracking patterns were examined in two scenarios. In Scenario 1, performance scores in both identification and orientation tasks were superior in the combined configuration. In Scenario 2, performance scores in the identification tasks were improved, and the addition of the UGV feed did not harm performance in the orientation task. Eye movement scanning patterns reinforced that both UAV and UGV feeds were used for the mission. The combined configuration generated consistent benefits with regard to the identification tasks, perceived mental demand, and reduction of false reports without having any apparent cost on participants. Ground views may provide additional support to dismounted soldiers.
AB - Operational tactics in urban areas are often aided by information from unmanned aerial vehicles (UAVs). A major challenge for dismounted soldiers, particularly in urban environments, is to understand the conflict area in general and particularly from the UAV feed. The UAV feed is usually used to enhance soldiers' situation awareness abilities but less for identifying specific elements. A possible way to further enhance soldiers' abilities is to provide them with multiple sources of information (e.g., aerial and ground views). This study examined the benefits of presenting video feed from UAVs and unmanned ground vehicles (UGVs) in a combined interface, relative to presenting aerial feed alone. Thirty former infantry soldiers with no experience in operating unmanned vehicles participated. Objective performance, subjective evaluations, and eyetracking patterns were examined in two scenarios. In Scenario 1, performance scores in both identification and orientation tasks were superior in the combined configuration. In Scenario 2, performance scores in the identification tasks were improved, and the addition of the UGV feed did not harm performance in the orientation task. Eye movement scanning patterns reinforced that both UAV and UGV feeds were used for the mission. The combined configuration generated consistent benefits with regard to the identification tasks, perceived mental demand, and reduction of false reports without having any apparent cost on participants. Ground views may provide additional support to dismounted soldiers.
KW - Attention allocation
KW - Dismounted soldiers
KW - MOUT
KW - Unmanned vehicles
KW - Video feed
UR - http://www.scopus.com/inward/record.url?scp=84883350942&partnerID=8YFLogxK
U2 - https://doi.org/10.1177/1555343412445054
DO - https://doi.org/10.1177/1555343412445054
M3 - Article
SN - 1555-3434
VL - 7
SP - 26
EP - 48
JO - Journal of Cognitive Engineering and Decision Making
JF - Journal of Cognitive Engineering and Decision Making
IS - 1
ER -