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Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research

Ebel, P; Bazilinskyy, P; Colley, M; Goodridge, CM; Hock, P; Janssen, CP; Sandhaus, H; ... Wintersberger, P; + view all (2024) Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research. In: 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Main Proceedings. (pp. pp. 94-105). Association for Computing Machinery (ACM): Stanford, CA, USA. Green open access

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Abstract

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/

Type: Proceedings paper
Title: Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research
Event: AutomotiveUI '24: 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3640792.3675730
Publisher version: http://dx.doi.org/10.1145/3640792.3675730
Language: English
Additional information: Copyright © 2024 Owner/Author. This work is licensed under a Creative Commons Attribution International 4.0 License.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10200867
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