Breaking barriers: Workshop on open data practices in AutoUI research
Ebel, P., Bazilinskyy, P., Hwang, A., Ju, W., Sandhaus, H., Srinivasan, A., Yang, Q., Wintersberger, P.
Understaning why publishing open data research is not commonplace in automotive at AutomotiveUI (AutoUI), Ingolstadt, Germany (2023)
ABSTRACT While the benefits of open science and open data practices are well understood, experimental data sharing is still uncommon in the AutoUI community. The goal of this workshop is to address the current lack of data sharing practices and to promote a culture of openness. By discussing barriers to data sharing, defining best practices, and exploring open data formats, we aim to foster collaboration, improve data quality, and promote transparency. Special interest groups will be formed to identify parameter sets for recur- ring research topics, so that data collected in different individual studies can be used to generate insights beyond the results of the individual studies. Join us at this workshop to help democratize knowledge and advance research in the AutoUI community.Schedule
| Time | Activity |
|---|---|
| 14:00–14:30 | Introduction and presentation of the survey results. |
| 14:30–15:00 | Talks from the organizers on policy considerations surrounding the sharing of driving data, the Dutch Open Science Initiative, and an experience report on how to publish large datasets. |
| 15:00–15:30 | Group Work 1: How to merge, process and publish experimental Data: A hands-on session. |
| 15:30–16:00 | Coffee Break |
| 16:00–16:45 | Group Work 1: How to Merge, Process and Publish Experimental Data. A hands-on session. |
| 16:45–17:45 | Group Work 2: How to address the key barriers and motivators to open data sharing identified in the pre-survey? |
| 17:45–18:00 | Wrap-up and discussion of next steps. |
Organisers
Patrick Ebel
Patrick Ebel is a Junior Research Group Leader at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) at Leipzig University. He received his Ph.D. in Computer Science from the University of Cologne and his M.Sc. in Automotive Systems from the TU Berlin. His research focuses on the analysis of large naturalistic driving data and computational models for human-vehicle interaction.
Pavlo Bazilinskyy
Pavlo Bazilinskyy is an assistant professor at Eindhoven University of Technology focusing on AI-driven interaction between AVs and other road users. He finished his PhD at TU Delft in auditory feedback for automated driving as a Marie Curie Fellow, where he also worked as a postdoc. He was the head of data research at SD-Insights. Pavlo is a treasurer of the Marie Curie Alumni Association (MCAA).
Angel Hsing-Chi Hwang
Angel Hsing-Chi Hwang is a human-computer interaction (HCI) researcher and Ph.D. candidate at Cornell University. Her research explores the role of emerging technology in the future of (team)work, culture, and social interaction. All in all, she researches, designs, and build technology that can introduce greater creativity and inclusiveness to our future workplaces.
Wendy Ju
Wendy Ju is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech. Her work in the areas of human-robot interaction and automated vehicle interfaces highlights the ways that interactive systems can be designed to be safer, more predictable, and more socially appropriate.
Hauke Sandhaus
Hauke Sandhaus is a Ph.D. student in Information Science at Cornell University. Previously, he worked as a UX Design-Technologist at the Volkswagen Group Future Center, focusing on the user experience of fully autonomous vehicles. He holds a master’s degree in Human-Computer Interaction from Bauhaus University. His research integrates technology and policy design to address the ethical implications of AI-driven autonomous systems.
Aravinda Ramakrishnan Srinivasan
Aravinda Ramakrishnan Srinivasan is a research fellow at the Institute for Transport Studies, University of Leeds, UK. He received the B.Tech. degree in electronics and communication engineering from the SASTRA University, Tirumalaisamudram, Tamil Nadu, India, and the M.S. and Ph.D. degrees in mechatronics and mechanical engineering from the University of Tennessee, Knoxville, TN, USA. He was a postdoctoral research fellow at the Lincoln Centre for Autonomous Systems, University of Lincoln, UK before his current tenure at Leeds. His research interests include machine-learning, artificial intelligence, autonomous vehicles, and robotics applications in everyday life.
Qian Yang
Qian Yang is an Assistant Professor in Information Science at Cornell University who received her Ph.D. from Carnegie Mellon University. Her main research goal is to better understand how to bring human-centered thinking to bear on evermore complex AI systems and create interactive tools that make such AI more accessible for human-centered design innovation.
Philipp Wintersberger
Philipp Wintersberger is a Professor of Interactive Systems at the University of Applied Sciences Upper Austria (Hagenberg) and lecturer at TU Wien. He received his Ph.D. in Human-Computer Interaction from Johannes Kepler University Linz. His research focuses on the effects of safety-critical AI-controlled automated systems on user behaviour.