%0 Conference Paper %1 feger2019reproducible %A Feger, Sebastian S. %A Dallmeier-Tiessen, Sünje %A Woźniak, Paweł W. %A Schmidt, Albrecht %B Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems %C New York, NY, USA %D 2019 %I Association for Computing Machinery %K HCI reproducibility %P 1–6 %R 10.1145/3290607.3312905 %T The Role of HCI in Reproducible Science: Understanding, Supporting and Motivating Core Practices %U https://doi.org/10.1145/3290607.3312905 %X The reproducibility crisis refers to the inability to reproduce scientific experiments and is one of science's great challenges. Alarming reports and growing public attention are leading to the development of services and tools that aim to support key reproducible practices. In the face of this rapid evolution, we envision the unique opportunity for Human-Computer Interaction to impact scientific practice through the systematic study of requirements and moderating effects of technology on research reproducibility. In this paper, we report on the current state of technological and human factors in reproducible science and present challenges and opportunities for both HCI researchers and practitioners to understand, support and motivate core practices. %@ 9781450359719

@inproceedings{feger2019reproducible, abstract = {The reproducibility crisis refers to the inability to reproduce scientific experiments and is one of science's great challenges. Alarming reports and growing public attention are leading to the development of services and tools that aim to support key reproducible practices. In the face of this rapid evolution, we envision the unique opportunity for Human-Computer Interaction to impact scientific practice through the systematic study of requirements and moderating effects of technology on research reproducibility. In this paper, we report on the current state of technological and human factors in reproducible science and present challenges and opportunities for both HCI researchers and practitioners to understand, support and motivate core practices.}, added-at = {2022-11-22T16:16:51.000+0100}, address = {New York, NY, USA}, author = {Feger, Sebastian S. and Dallmeier-Tiessen, S\"{u}nje and Wo\'{z}niak, Pawe\l{} W. and Schmidt, Albrecht}, biburl = {https://www.bibsonomy.org/bibtex/20fc5bb770d6194ea7dfa7278af5c6d07/abernstetter}, booktitle = {Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3290607.3312905}, interhash = {d163bbe35121783fd15a4f884caee09e}, intrahash = {0fc5bb770d6194ea7dfa7278af5c6d07}, isbn = {9781450359719}, keywords = {HCI reproducibility}, location = {Glasgow, Scotland Uk}, numpages = {6}, pages = {1–6}, publisher = {Association for Computing Machinery}, series = {CHI EA '19}, timestamp = {2022-11-22T16:16:51.000+0100}, title = {The Role of HCI in Reproducible Science: Understanding, Supporting and Motivating Core Practices}, url = {https://doi.org/10.1145/3290607.3312905}, year = 2019 }