自动化
校准
可靠性(半导体)
前提
背景(考古学)
计算机科学
任务(项目管理)
基线(sea)
可靠性工程
工程类
系统工程
统计
数学
政治学
古生物学
功率(物理)
哲学
法学
物理
生物
机械工程
量子力学
语言学
作者
Stephanie M. Merritt,Kelli Huber,Jennifer L. Unnerstall,Deborah Lee
摘要
Abstract : This report details three studies that have been conducted in order to explore user calibration of trust in automation. In the first, we discover that all-or-none thinking about automation reliability was associated with severe decreases in trust following an aid error, but high expectations for automation performance were not. In the second study, we examine predictors and outcomes of calibration of trust. We measured calibration in three different ways. We found that awareness of the aid's accuracy trajectory (whether it was getting more or less reliable over time) was a significant predictor of calibration. However, we found that none of the three measurements of calibration had strong associations with task performance or the ability to identify aid errors. We also describe the conceptual premise and design of our third and final study. This study examines the development, loss, and recovery of trust in a route planning aid in a military simulation context. The results of this study will be presented in our final report.
科研通智能强力驱动
Strongly Powered by AbleSci AI