Human-Autonomy Teaming and Agent Transparency

被引：3

作者：

Chen, Jessie Y. C. ^{[1
]}

Selkowitz, Anthony R. ^{[1
]}

Stowers, Kimberly ^{[2
]}

Lakhmani, Shan G. ^{[2
]}

Barnes, Michael J. ^{[3
]}

机构：

[1] US Army Res Lab, 12423 Res Pkwy, Orlando, FL 32826 USA

[2] Univ Cent Florida, Inst Simulat & Training, Orlando, FL 32816 USA

[3] US Army Res Lab, 2520 Healy Ave,Blgd 51005, Ft Huachuca, AZ 85613 USA

来源：

COMPANION OF THE 2017 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'17) | 2017年

关键词：

D O I：

10.1145/3029798.3038339

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We developed the user interfaces for two HRI tasking environments based on the Situation awareness-based Agent Transparency (SAT) model: dismounted infantry interacting with a ground robot (Autonomous Squad Member) and human interacting with an intelligent agent to manage a team of heterogeneous robotic vehicles (IMPACT). User testing showed that as agent transparency increased, so did human operator performance and trust calibration effectiveness. The expanded SAT model, which includes Teamwork Transparency, is also briefly described.

引用

页码：91 / 92

页数：2

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