Misuse of automated decision aids: Complacency, automation bias and the impact of training experience

自动化 佣金 计算机科学 过程(计算) 决策辅助工具 风险分析(工程) 干预(咨询) 控制(管理) 订单(交换) 计算机安全 运筹学 人工智能 业务 医学 工程类 护理部 财务 操作系统 机械工程 替代医学 病理
作者
J. Elin Bahner,Anke-Dorothea Hüper,Dietrich Manzey
出处
期刊:International journal of human-computer studies [Elsevier BV]
卷期号:66 (9): 688-699 被引量:228
标识
DOI:10.1016/j.ijhcs.2008.06.001
摘要

The present study investigates automation misuse based on complacency and automation bias in interacting with a decision aid in a process control system. The effect of a preventive training intervention which includes exposing participants to rare automation failures is examined. Complacency is reflected in an inappropriate checking and monitoring of automated functions. In interaction with automated decision aids complacency might result in commission errors, i.e., following automatically generated recommendations even though they are false. Yet, empirical evidence proving this kind of relationship is still lacking. A laboratory experiment (N=24) was conducted using a process control simulation. An automated decision aid provided advice for fault diagnosis and management. Complacency was directly measured by the participants’ information sampling behavior, i.e., the amount of information sampled in order to verify the automated recommendations. Possible commission errors were assessed when the aid provided false recommendations. The results provide clear evidence for complacency, reflected in an insufficient verification of the automation, while commission errors were associated with high levels of complacency. Hence, commission errors seem to be a possible, albeit not an inevitable consequence of complacency. Furthermore, exposing operators to automation failures during training significantly decreased complacency and thus represents a suitable means to reduce this risk, even though it might not avoid it completely. Potential applications of this research include the design of training protocols in order to prevent automation misuse in interaction with automated decision aids.
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