Effect of automation transparency in the management of multiple unmanned vehicles

被引：18

作者：

Bhaskara, Adella ^{[1
,3
]}

Duong, Lain ^{[2
]}

Brooks, James ^{[1
]}

Li, Ryan ^{[2
]}

McInerney, Ronan ^{[1
]}

Skinner, Michael ^{[1
]}

Pongracic, Helen ^{[1
]}

Loft, Shayne ^{[2
]}

机构：

[1] Def Sci & Technol Grp, 506 Lorimer St, Fishermans Bend, Vic 3207, Australia

[2] Univ Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia

[3] Univ Adelaide, Adelaide, SA 5005, Australia

来源：

APPLIED ERGONOMICS | 2021年 / 90卷

基金：

澳大利亚研究理事会;

关键词：

Automation; Human-autonomy teaming; Unmanned vehicles; AGENT TRANSPARENCY; INTERFACE DESIGN; TRUST; IMPACT; RELIABILITY; PERFORMANCE; INFORMATION;

D O I：

10.1016/j.apergo.2020.103243

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Automated decision aids can undoubtedly benefit system performance, but have the potential to provide incorrect advice, creating the possibility for automation disuse or misuse. This paper examined the extent to which increased automation transparency could improve the accuracy of automation use in a simulation of unmanned vehicle control. Participants were required to assign the best unmanned vehicle to complete missions. An automated recommender system provided advice but was not always reliable. Three levels of automation transparency were manipulated between-participants. Providing transparency regarding the reasoning underlying automated recommendations improved the accuracy of automation use, with no cost to decision time or subjective workload. Higher transparency in the form of projected decision outcome visualizations led to faster decisions, but less accurate automation use and an automation bias. Implications for the design of transparent interfaces to improve human-autonomy teaming outcomes in time-pressured environments are discussed.

引用

页数：14

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