Publication: Transparency of CHI Research Artifacts: Results of a Self-Reported Survey
Transparency of CHI Research Artifacts: Results of a Self-Reported Survey
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Wacharamanotham, C., Eisenring, L., Haroz, S., & Echtler, F. (2020, April 30). Transparency of CHI Research Artifacts: Results of a Self-Reported Survey. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu. https://doi.org/10.1145/3313831.3376448
Abstract
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Several fields of science are experiencing a ""replication crisis"" that has negatively impacted their credibility. Assessing the validity of a contribution via replicability of its experimental evidence and reproducibility of its analyses requires access to relevant study materials, data, and code. Failing to share them limits the ability to scrutinize or build-upon the research, ultimately hindering scientific progress.Understanding how the diverse research artifacts in HCI impact sharing can help produce informed recommendations fo
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Creators (Authors)
- Eisenring, Lukas
- Haroz, Steve
- Echtler, Florian
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Citations
Wacharamanotham, C., Eisenring, L., Haroz, S., & Echtler, F. (2020, April 30). Transparency of CHI Research Artifacts: Results of a Self-Reported Survey. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu. https://doi.org/10.1145/3313831.3376448
