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Increasing Accuracy by Decreasing Presentation Quality in Transcription Tasks

机译:通过减少转录任务中的呈现质量来提高准确性

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Many tasks with interfaces require entering data accurately, for example, entering patient data in an electronic records system or programming infusion pumps. However, human error is inevitable. Paradoxically, results from cognitive psychology suggest that representing information in a poorer quality format increases the likelihood of memorising the information accurately. This is explained by the dual system account of cognition where slower, more effortful but more accurate thinking is invoked via the poorer quality representation. We present two studies where we transfer these results to the domain of data-entry and show that poorer quality format of to-be-copied information leads to increased accuracy in transcription tasks. Moreover, this is not a consequence of the typical speed-accuracy tradeoffs. The results of our novel approach have implications for the design of data-entry tasks in domains such as healthcare.
机译:具有接口的许多任务需要准确地输入数据,例如,在电子记录系统中输入患者数据或编程输液泵。但是,人为错误是不可避免的。矛盾的是,认知心理学的结果表明,代表较差的质量格式的信息增加了准确记忆信息的可能性。这是通过对认知的双重系统解释,通过较差的质量代表来调用更慢的,更加努力但更准确的思考。我们提出了两项​​研究,我们将这些结果转移到数据输入的领域,并表明要复制信息的较差的质量格式导致转录任务的准确性提高。此外,这不是典型的速度准确性权衡的结果。我们的新方法的结果对域中的域中的数据输入任务设计有影响,例如医疗保健。

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