Breaking Barriers: Workshop on Open Data Practices in AutoUI Research

Patrick Ebel, Pavlo Bazilinskyy, Angel Hsing Chi Hwang, Wendy Ju, Hauke Sandhaus, Aravinda Ramakrishnan Srinivasan, Qian Yang, Philipp Wintersberger

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

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 recurring 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.

OriginalspracheEnglisch
Titel15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Adjunct Conference Proceedings
Herausgeber (Verlag)Association for Computing Machinery
Seiten227-230
Seitenumfang4
ISBN (elektronisch)9798400701122
DOIs
PublikationsstatusVeröffentlicht - 18 Sep. 2023
Veranstaltung15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Ingolstadt, Deutschland
Dauer: 18 Sep. 202321 Sep. 2023

Publikationsreihe

NameACM International Conference Proceeding Series

Konferenz

Konferenz15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023
Land/GebietDeutschland
OrtIngolstadt
Zeitraum18.09.202321.09.2023

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