TY - GEN
T1 - Changing Lanes Toward Open Science
T2 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024
AU - Ebel, Patrick
AU - Bazilinskyy, Pavlo
AU - Colley, Mark
AU - Goodridge, Courtney Michael
AU - Hock, Philipp
AU - Janssen, Christian P.
AU - Sandhaus, Hauke
AU - Srinivasan, Aravinda Ramakrishnan
AU - Wintersberger, Philipp
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/9/22
Y1 - 2024/9/22
N2 - We review the state of open science and the perspectives on open data sharing within the automotive user research community. Openness and transparency are critical not only for judging the quality of empirical research, but also for accelerating scientific progress and promoting an inclusive scientific community. However, there is little documentation of these aspects within the automotive user research community. To address this, we report two studies that identify (1) community perspectives on motivators and barriers to data sharing, and (2) how openness and transparency have changed in papers published at AutomotiveUI over the past 5 years. We show that while open science is valued by the community and openness and transparency have improved, overall compliance is low. The most common barriers are legal constraints and confidentiality concerns. Although research published at AutomotiveUI relies more on quantitative methods than research published at CHI, openness and transparency are not as well established. Based on our findings, we provide suggestions for improving openness and transparency, arguing that the motivators for open science must outweigh the barriers. All supporting materials are freely available at: https://osf.io/zdpek/
AB - We review the state of open science and the perspectives on open data sharing within the automotive user research community. Openness and transparency are critical not only for judging the quality of empirical research, but also for accelerating scientific progress and promoting an inclusive scientific community. However, there is little documentation of these aspects within the automotive user research community. To address this, we report two studies that identify (1) community perspectives on motivators and barriers to data sharing, and (2) how openness and transparency have changed in papers published at AutomotiveUI over the past 5 years. We show that while open science is valued by the community and openness and transparency have improved, overall compliance is low. The most common barriers are legal constraints and confidentiality concerns. Although research published at AutomotiveUI relies more on quantitative methods than research published at CHI, openness and transparency are not as well established. Based on our findings, we provide suggestions for improving openness and transparency, arguing that the motivators for open science must outweigh the barriers. All supporting materials are freely available at: https://osf.io/zdpek/
KW - AutomotiveUI
KW - open data
KW - open science
KW - openness
KW - reproducibility
KW - transparency
UR - https://www.scopus.com/pages/publications/85205827445
U2 - 10.1145/3640792.3675730
DO - 10.1145/3640792.3675730
M3 - Conference contribution
AN - SCOPUS:85205827445
T3 - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Main Proceedings
SP - 94
EP - 105
BT - 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Main Proceedings
PB - Association for Computing Machinery, Inc
Y2 - 22 September 2024 through 25 September 2024
ER -