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Designing for Data Sensemaking Practices: A Complex Challenge

Published: 26 June 2024 Publication History
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References

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Rooksby, J., Rost, M., Morrison, A., and Chalmers, M. Personal tracking as lived informatics. Proc. of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, 2014, 1163--1172.
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Hollis, V., Pekurovsky, A., Wu, E., and Whittaker, S. On being told how we feel: How algorithmic sensor feedback influences emotion perception. Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 3 (2018), 1--31.
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Koesten, L., Gregory, K., Groth, P., and Simperl, E. Talking datasets---Under-standing data sensemaking behaviours. Intl. Journal of Human-Computer Studies 146 (Feb. 2021), 102562.
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Victorelli, E.Z., Dos Reis, J.C., Hornung, H., and Prado, A.B. Understanding human-data interaction: Literature review and recommendations for design. Intl. Journal of Human-Computer Studies 134 (Feb. 2020), 13--32
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Coşkun, A. and Karahanoğlu, A. Data sensemaking in self-tracking: Towards a new generation of self-tracking tools. Intl. Journal of Human-Computer Interaction 39, 12 (2023), 2339--2360

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Published In

cover image Interactions
Interactions  Volume 31, Issue 4
July - August 2024
52 pages
EISSN:1558-3449
DOI:10.1145/3675406
Issue’s Table of Contents
This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2024
Published in INTERACTIONS Volume 31, Issue 4

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