AutomotiveUI (AutoUI), the International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, is the premier forum for UI research in the automotive domain. The conference brings together over 200 researchers and practitioners interested in both the technical and the human aspects of in-vehicle user interfaces and applications. Consistent with prior conferences, AutomotiveUI 2022 will address novel in-vehicle services, models of and concepts for enhancing the driver experience, driver performance and behavior, development of (semi-) autonomous driving, and the needs of different user groups. AutomotiveUI 2022 conference invites you to submit original work in different formats.
All attendees are encouraged to present their research face-to-face and discuss it in person. However, we expect that some researchers will not be allowed to travel by then or under difficult circumstances to come to the conference physically. Those will be allowed to present their work virtually. The details will be discussed further and announced by the online experience chairs when it’s approaching.
Full Papers Abstract: April 20, 2022
Full Papers: April 27, 2022
Work in Progress: June 29, 2022
Workshops & tutorials: June 29, 2022 (Extended)
Videos: June 29, 2022 (Extended)
Interactive Demos: June 29, 2022 (Extended)
Doctoral Colloquium: July 6, 2022
All deadlines are AoE (anywhere on earth) on the date shown.
AutomotiveUI Papers are archival publications of original research. Authors are invited to submit papers formatted in accordance with the new single-column ACM SIGCHI format. All accepted papers will be included in the conference proceedings which will be archived in the ACM digital library.
A workshop is a meeting to address a topic or method of common interest to a selective group of AutomotiveUI attendees. Typically, there is a focus on contemporary challenges. For example, previous workshops have addressed natural user interfaces, situational awareness, trust in automated driving, and the use of virtual and augmented reality in vehicle studies.
Interactive Demos are presentations / demonstrations that highlight and foster discussion of current research and development in the area of automotive user interfaces and interactive vehicular applications. We see demos as catalysts for innovation and collaboration and we encourage submissions from both industry and academia. We accept both Academic Demos and Industry Showcases under the Interactive Demo category.
A Work in Progress (WiP) is a concise report of late-breaking findings or other types of innovative or thought-provoking work relevant for the AutomotiveUI community. It represents work that either has not reached a level of completion expected of a conference paper or for which a conference paper is not the most effective communication method. That said, appropriate submissions should make a contribution to the body of AutomotiveUI knowledge, whether realized or promised.
Video Demo submissions are short motion presentations that showcase examples best communicated in this format or provide supplementary content to another submission (e.g. a paper). Video demos can, but are not restricted to present your study design, data collection design, progress over time, study results, research projects, design concepts and visions of the future.
The DC brings together PhD students working on topics related to automotive user interfaces and interactive vehicular applications, providing them with an opportunity to present and discuss their research with their peers and senior faculty. It will further provide opportunities for PhD students to network and facilitate professional development by sharing research interests.
The following provides a non-exhaustive list of conference topics.
AutomotiveUI technologies and interventions, and automated technology can change experience in various ways. This broad category captures aspects such as the relationship between AutomotiveUI and:
We encourage submissions that take a radically different (“out of the box”) perspective compared to previous AutomotiveUI publications, provided that this perspective is relevant for the AutomotiveUI community and shows scientific rigour and clarity. For example, papers that apply different methods, or that test an idea that goes against popular opinion. This category is not meant to cover what CHI calls “Alt-CHI” (as in: work that is hard to get into CHI). Rather, it encourages different perspectives that are scientifically valid and grounded, but that are in a substantial way different from the “typical” AutomotiveUI paper.