Abstract
Though error rate is a ubiquitous measure of human performance, as typically measured in terms of overall error rate or percentage, there are a number of predictive variables lost by summing or averaging the errors made. In this paper, we present a sequential analysis of error rate, where the pattern of errors is analyzed. By examining such concepts as the number of transitions from incorrect responses (I) to correct responses (C) or IC transitions as well a concept called I-length, which refers to the number of incorrect responses followed by a correct response, valid ordinal predictions of persistence in the face of continuous failure can be made. This paper develops this theoretical construct in the hopes that utilizing such data will facilitate the analysis and predictive quality of error rate data.
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Miller, R.M., Sauque, R.J. (2007). Sequential Analyses of Error Rate: A Theoretical View. In: Harris, D. (eds) Engineering Psychology and Cognitive Ergonomics. EPCE 2007. Lecture Notes in Computer Science(), vol 4562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73331-7_41
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DOI: https://doi.org/10.1007/978-3-540-73331-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73330-0
Online ISBN: 978-3-540-73331-7
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