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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. This initiative reflects our commitment to driving forward the development of open, user-centered automotive technologies and services, ensuring that knowledge and findings are shared openly to benefit the broader community. Therefore, we provide practical guidelines for authors on how to make their research open and transparent and provide a platform for authors to promote the research artifacts they have made available to the broader automotive user research community.

Why Open Science?

The pursuit of Open Science is essential for several reasons:

Toward Open Science

Every step toward greater transparency in research is valuable, contributing incrementally to the overall integrity and reproducibility of scientific work. It’s important to recognize and celebrate each step taken, even if complete openness is not immediately achieved. Here are three levels of engagement with open science practices:

Practical Tips for Authors

Following the guidelines we shared for the AutomotiveUI ‘24 conference, here are practical tips to incorporate Open Science into your research workflow:

Data Sharing and Management

There are many places where we can publish open access artifacts. It is good practice to keep your data on a FAIR platform/repository. Here are some examples (updated June 2024):

  1. ACM Digital Library (FAIR): AutoUI is an ACM conference, and the platform allows the sharing of (small) supplementary material with the publication.
  2. OSF (FAIR): Allows to make repos anonymous for review, which can be handy for the submission process. It is a ‘swiss knife’ for publishing artifacts in open access, and the platform allows a great level of flexibility. File versioning is straightforward, and OSF also allows you to pre-register your study. It is also easy to make your material anonymous for the review process.
  3. Zenodo (FAIR): Data is stored at CERN, which is reliable. It is becoming a common place to share data, which may make it user-friendly. They accept up to 50GB per dataset with an option to have multiple datasets.
  4. GitHub (not FAIR; Everyone knows how to navigate around a repo on GitHub, which can be an advantage for outreach. But it is not FAIR as no globally unique and persistent identifier is created. What can be practiced is to provide a link to the active project in the manuscript, and then still upload materials to a FAIR platform for reproducibility.
  5. 4TU.ResearchData (FAIR): Local storage for the technical universities of the Netherlands. They do quite a good job of making the management of datasets easy. Likely, there is a similar portal in your institution/country.

Open Access Publications

Transparency in Methodology

Openly Available Research Artifacts

Here, we provide a dynamically updated table of related works, categorized by the criteria datasets, simulation software and models to facilitate easy access to a wealth of resources that can support your research and inspire your Open Science endeavors.

We encourage authors of papers with openly available materials who want to link their work on this site to create a Pull Request on GitHub to add their work. Add your work here: Related Works CSV. The category must be one of [Dataset, Software, Model]. Please make sure your pull requests complies with the format. We will check the entry and approve it as soon as possible.

Dataset

Paper Title Author Year Resources
AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles Mark Colley and Sebastian Hartwig and Albin Zeqiri and Timo Ropinski and Enrico Rukzio 2024
Pedestrian planet: What YouTube driving from 233 countries and territories teaches us about the world Shadab Alam and Marieke Martens and Pavlo Bazilinskyy 2025
Enhancing cyclist safety in the EU: A study on lateral overtaking distance across seven scenarios using lab and crowdsourced methods Giovanni Sapienza and Pavlo Bazilinskyy 2025

Software

Paper Title Author Year Resources
PedSUMO: Simulacra of Automated Vehicle-Pedestrian Interaction Using SUMO To Study Large-Scale Effects Mark Colley and Julian Czymmeck and Mustafa Kücükkocak and Pascal Jansen and Enrico Rukzio 2024
AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles Mark Colley and Sebastian Hartwig and Albin Zeqiri and Timo Ropinski and Enrico Rukzio 2024
Portobello: Extending Driving Simulation from the Lab to the Road Fanjun Bu and Stacey Li and David Goedicke and Mark Colley and Gyanendra Sharma and Wendy Ju 2024
Hey What's Going On?: Conveying Traffic Information to People with Visual Impairments in Highly Automated Vehicles: Introducing OnBoard Luca-Maxim Meinhardt and Maximilian Rück Julian Zähnle and Maryam Elhaidary and Mark Colley and Michael Rietzler and Enrico Rukzio 2024
Introducing VAMPIRE – Using Kinaesthetic Feedback in Virtual Reality for Automated Driving Experiments Philipp Hock and Mark Colley and Ali Askari and Tobias Wagner and Martin Baumann and Enrico Rukzio 2022
Visualizing imperfect situation detection and prediction in automated vehicles: Understanding users' perceptions via user-chosen scenarios Pascal Jansen and Mark Colley and Tim Pfeifer and Enrico Rukzio 2024
Coupled simulator for research on the interaction between pedestrians and (automated) vehicles Pavlo Bazilinskyy and Lars Kooijman and Dimitra Dodou and Joost De Winter 2020

Model

Paper Title Author Year Resources
Example Model 1 that has a very very long title so that the table needs to be broken Author C 2023

Paper and Workshop

For more information on the current state of the art and the motivators and barriers to open science in the automotive user research community, see the paper or its materials published on OSF. If you find this information useful, please consider citing it:

@inproceedings{ebel2024changing,
  title={Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research},
  author={Ebel, Patrick and Bazilinskyy, Pavlo and Colley, Mark and Goodridge, Courtney and Hock, Philipp and Janssen, Christian P. and Sandhaus, Hauke and Srinivasan, Aravinda Ramakrishnan and Wintersberger, Philipp},
  booktitle={16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '24)},
  pages={17},
  year={2024},
  address={Stanford, California, USA},
  month={sep},
  publisher={ACM},
  location={New York, NY, USA},
  url = {https://doi.org/10.1145/3640792.3675730},
  doi = {10.1145/3640792.3675730},
  series = {AutomotiveUI '24}
}

Also, see the 2023 workshop website for more information.