Insights into Human-Agent Teaming: Intelligent Agent Transparency and Uncertainty

被引：17

作者：

Stowers, Kimberly ^{[1
]}

Kasdaglis, Nicholas ^{[1
]}

Rupp, Michael ^{[1
]}

Chen, Jessie ^{[2
]}

Barber, Daniel ^{[1
]}

Barnes, Michael ^{[3
]}

机构：

[1] Insitute Simulat & Training, 3100 Technol Pkwy, Orlando, FL 32826 USA

[2] US Army, Res Lab, Orlando, FL USA

[3] US Army, Res Lab, Ft Huachuca, AZ 85613 USA

来源：

ADVANCES IN HUMAN FACTORS IN ROBOTS AND UNMANNED SYSTEMS | 2017年 / 499卷

关键词：

Transparency; Human factors; Human-Machine interaction; Systems engineering; Supervisory control; Unmanned vehicles; SITUATION AWARENESS; AUTOMATION; RELIANCE; TRUST;

D O I：

10.1007/978-3-319-41959-6_13

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper discusses two studies testing the effects of agent transparency in joint cognitive systems involving supervisory control and decision-making. Specifically, we examine the impact of agent transparency on operator performance (decision accuracy), response time, perceived workload, perceived usability of the agent, and operator trust in the agent. Transparency has a positive impact on operator performance, usability, and trust, yet the depiction of uncertainty has potentially negative effects on usability and trust. Guidelines and considerations for displaying transparency in joint cognitive systems are discussed.

引用

页码：149 / 160

页数：12

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