The University of Western Australia, Australia.
The University of Western Australia, Australia.
Appl Ergon. 2023 Jul;110:104022. doi: 10.1016/j.apergo.2023.104022. Epub 2023 Apr 3.
Automated decision aids typically improve decision-making, but incorrect advice risks automation misuse or disuse. We examined the novel question of whether increased automation transparency improves the accuracy of automation use under conditions with/without concurrent (non-automated assisted) task demands. Participants completed an uninhabited vehicle (UV) management task whereby they assigned the best UV to complete missions. Automation advised the best UV but was not always correct. Concurrent non-automated task demands decreased the accuracy of automation use, and increased decision time and perceived workload. With no concurrent task demands, increased transparency which provided more information on how the automation made decisions, improved the accuracy of automation use. With concurrent task demands, increased transparency led to higher trust ratings, faster decisions, and a bias towards agreeing with automation. These outcomes indicate increased reliance on highly transparent automation under conditions with concurrent task demands and have potential implications for human-automation teaming design.
自动化决策辅助工具通常可以改善决策，但错误的建议可能会导致自动化的误用或弃用。我们研究了一个新问题，即在有/没有同时存在（非自动化辅助）任务需求的情况下，增加自动化透明度是否会提高自动化使用的准确性。参与者完成了一项无人车 (UV) 管理任务，他们需要根据任务分配最佳的 UV。自动化提供了最佳 UV 的建议，但并不总是正确的。同时存在非自动化任务需求会降低自动化使用的准确性，并增加决策时间和感知工作量。在没有同时存在任务需求的情况下，增加透明度提供了更多关于自动化决策过程的信息，从而提高了自动化使用的准确性。在存在同时存在任务需求的情况下，增加透明度会导致更高的信任评级、更快的决策速度，并倾向于同意自动化的建议。这些结果表明，在存在同时存在任务需求的情况下，人们会更加依赖高度透明的自动化，这对人机团队设计具有潜在影响。
