Challenges in research generalizability: The need for standardization of performance metrics and methodology

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Abstract

The proliferation of psychological and psychophysiological metrics, data collection techniques, and data analysis strategies used throughout psychological research of operator performance presents cross-study synthesis complications. Currently, the lack of defined and established standardizations in psychological and psychophysiological research continues to present challenges to researchers studying an array of interrelated constructs. Without standardizations, differences in measurement implementation, data reduction techniques, and the interpretation of results make it difficult to directly compare studies and reach unequivocal conclusions while synthesizing literature and transfer laboratory findings to field-ready applications.

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Feltman, K. A., Bernhardt, K. A., & Kelley, A. M. (2017). Challenges in research generalizability: The need for standardization of performance metrics and methodology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10293 LNCS, pp. 78–89). Springer Verlag. https://doi.org/10.1007/978-3-319-58481-2_7

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