利用全系统信任理论揭示模拟航空任务中自动化误报和误报对服从和信赖的传染效应

Kasha Geels-Blair, Stephen Rice, Jeremy D. Schwark
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引用次数: 55

摘要

全系统信任理论(Keller & Rice, 2010)表明,与多个独立量表相关的自动化辅助工具往往被视为一个系统。Meyer(2001,2004)的顺从-依赖模型表明,容易误报和容易漏报的自动化辅助设备对操作员行为的影响是不同的。本研究将全系统信任理论与Meyer的顺从-依赖模型相结合。参与者监测8个仪表,每个仪表都有一个自动辅助装置。辅助手段1的可靠性为100%或70%(要么是虚警,要么是漏报),而其他辅助手段则完全可靠。参与者通常采用全系统的信任策略,但与误报相比,误报的效果更强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using System-Wide Trust Theory to Reveal the Contagion Effects of Automation False Alarms and Misses on Compliance and Reliance in a Simulated Aviation Task
System-wide trust theory (Keller & Rice, 2010) suggests that automated aids associated with multiple independent gauges tend to be treated as one system. Meyer's (2001, 2004) compliance–reliance model indicates that false-alarm-prone and miss-prone automated aids affect operator behavior differently. This study integrates system-wide trust theory with Meyer's compliance–reliance model. Participants monitored 8 gauges, each augmented by an automated aid. Aid 1 was either 100% or 70% reliable (either false alarm- or miss-prone), whereas the other aids were perfectly reliable. Participants generally employed a system-wide trust strategy, but this effect was stronger for false alarms compared to misses.
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