Effect of automation transparency in the management of multiple unmanned vehicles.

Publisher: Butterworth-Heinemann Country of Publication: England NLM ID: 0261412 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-9126 (Electronic) Linking ISSN: 00036870 NLM ISO Abbreviation: Appl Ergon Subsets: MEDLINE

Publication: Oxford : Butterworth-Heinemann
Original Publication: London.

Man-Machine Systems* ; Task Performance and Analysis*; Automation ; Computer Simulation ; Humans ; Workload

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.
(Copyright © 2020 Elsevier Ltd. All rights reserved.)

Keywords: Automation; Human-autonomy teaming; Unmanned vehicles

Date Created: 20200912 Date Completed: 20210818 Latest Revision: 20210818

20240829

10.1016/j.apergo.2020.103243

32919121