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. 2024 Apr 18;3:e47194. doi: 10.2196/47194

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©Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, Sheldon Cohen, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab. Originally published in JMIR AI (https://ai.jmir.org), 18.04.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR AI, is properly cited. The complete bibliographic information, a link to the original publication on https://www.ai.jmir.org/, as well as this copyright and license information must be included.

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The heat map displays the correlation between sensor features and productivity by week. The left side shows the 10 sensor features with the highest aggregated correlation over all 3 weeks, and the right side shows the 10 sensor features with the highest aggregated significance score over all 3 weeks. The blank cells shown in the figure mean that the relationship is not significant. (A) Average of correlation (C-SF); (B) Significance score of correlation (S-SF). C: correlation coefficients; S: significance score; SF: sensor feature.