Individual Differences in Describing Levels of Automation

Chase Wentzky, J. Summers
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Abstract

Level of automation (LoA) is increasingly recognized as an important principle in improving manufacturing strategies. However, many automation decisions are made without formally assessing LoA and can be made based on a host of organizational factors, like varied mental models used by managers in decision-making. In this study, respondents (N = 186) were asked to watch five different assembly tasks being completed in an automotive manufacturing environment, and then identify “how automated” or “how manual” they perceived the task to be. Responses were given using a visual analogue scale (VAS) and sliding scale, where possible responses ranged from 0 (totally manual) to 100 (totally automated). The activity explored how and when individuals recognized the automated technologies being employed in each task. The tasks of the videos varied primarily by whether the human played active or passive role in the process. Focus group comments collected as a part of the study show how rating patterns revealed functional systems-level thinking and a focus on cognitive automation in manufacturing. While the video ratings generally followed the LoA framework discussed, slight departures in the rating of each video were found.
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描述自动化水平的个体差异
自动化水平(LoA)越来越被认为是改进制造战略的一个重要原则。然而,许多自动化决策是在没有正式评估LoA的情况下做出的,并且可以基于许多组织因素做出决策,例如管理人员在决策中使用的各种心理模型。在这项研究中,受访者(N = 186)被要求观看在汽车制造环境中完成的五种不同的装配任务,然后确定他们认为任务的“自动化程度”或“手动程度”。使用视觉模拟量表(VAS)和滑动量表给出回答,其中可能的回答范围从0(完全手动)到100(完全自动)。该活动探讨了个人如何以及何时识别每个任务中使用的自动化技术。视频的任务主要取决于人类在这个过程中是主动还是被动。作为研究的一部分收集的焦点小组评论显示了评级模式如何揭示了功能性系统级思维和对制造业认知自动化的关注。虽然视频评级通常遵循所讨论的LoA框架,但发现每个视频的评级略有偏离。
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