Abstract : 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.
https://hal.inria.fr/hal-01501757
Contributeur : Hal Ifip
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Dernière modification le : samedi 11 novembre 2017 - 19:04:02
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Frank Soboczenski, Paul Cairns, Anna Cox. Increasing Accuracy by Decreasing Presentation Quality in Transcription Tasks. Paula Kotzé; Gary Marsden; Gitte Lindgaard; Janet Wesson; Marco Winckler. 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. Springer, Lecture Notes in Computer Science, LNCS-8118 (Part II), pp.380-394, 2013, Human-Computer Interaction – INTERACT 2013. 〈10.1007/978-3-642-40480-1_25〉. 〈hal-01501757〉
