Deadline for meta-data of paper: April 20, 2022
Submission deadline for full paper: April 27, 2022
Decision notification: June 17, 2022
Final formatted version: July 13, 2022
Paper sessions: September 18-20, 2022
All deadlines are AoE (anywhere on earth) on the date shown.
The deadlines are final; there will be no extensions.
AutomotiveUI papers are peer-reviewed, archival publications of original research. Authors are invited to submit papers formatted in accordance with the new single-column ACM SIGCHI format using the Precision Conference Submission system. All accepted papers will be included in the conference proceedings which will be archived in the ACM Digital Library. For accepted papers, at least one author is required to register for the conference and present the work.
In addition, full papers accepted in AutoUI 2022 are eligible for the special issue of the International Journal of Human-Computer Interaction (IJHCI, Online ISSN : 1532-7590).
See below for more details.
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.
We look forward to reviewing your work.
Seul Chan Lee, Kristina Stojmenova and Maryam FakhrHosseini
papers@auto-ui.org
All accepted full papers at AutoUI 2022 are eligible for the journal special issue. However, those who want to submit their paper to SI should check their willingness to opt in the journal special issue when submitting their paper to AutoUI 2022. The selected SI candidate papers should be expanded with around 50% of new content (e.g., re-analysis of the data, presentation of more data, that was not presented in the conference paper, more related work, modeling, possible fields of data/results application for further development or implementation of Future Mobility solutions or an additional study) and submitted to the IJHCI’s submission system (https://www.editorialmanager.com/ijhc/default1.aspx). The submitted manuscript will be re-evaluated based on their quality by the two international reviewers and the guest editor.
Thank you for considering to submit to the papers track of AutomotiveUI 2022.
The papers track is meant for your best, original scientific work that is not published elsewhere.
If you are new to the community, we encourage you to explore the AutomotiveUI proceedings (incl. papers track) and adjunct proceedings (incl. the other tracks) of previous conferences (see the top of the page). Note that formatting of papers has recently changed.
Intended contribution and topics: Continuing a tradition from AutomotiveUI 2020 and 2021, we ask authors to identify the main intended contribution of their work. AutomotiveUI spans a variety of topics. This year, we particularly welcome submissions about the following topics:
In addition, there are many other topics that are part of AutomotiveUI, which are listed below under “further details”.
Selection criterion is scientific excellence: Our reviewing process is designed to promote scientific excellence, explained in more detail below. Acceptance is highly competitive: regardless of area, all accepted papers will score highly on contribution, innovation, and quality of thought and writing. Submit your best work!
Paper length: This year, we have a different process for paper length. The length should be proportional to the contribution, with a maximum of 13 pages. More details are provided below under “further details”.
Desk-rejects and Quick Rejects: The volume of paper submissions is increasing each year. This growth increases the pressure on our Associate Chairs and reviewer pool to handle the review of all submissions. Similar to other ACM SIGCHI conferences, such as CHI, we therefore follow a process in which there is an opportunity for desk-rejects and quick rejects. The procedures are explained below under “further details”.
We look forward to your submissions!
Seul Chan Lee, Kristina Stojmenova and Maryam FakhrHosseini
Technical Program Chairs
papers@auto-ui.org
Intended contributions
Intended contributions are used to match each paper to an Associate Chair and reviewers who have expertise in that particular area. Each author is asked to select one main (and one optional second) intended contribution. We distinguish between the following categories:
Topics
Topics can be used to allocate your paper to an AC or reviewer with knowledge in that area.
At this years AutoUI we are particularly interested in submissions in these categories:
However, there is a wide variety of topics that fits the conference, which is outlined below. This list is not exhaustive.
SUSTAINABLE DEVELOPMENT
Proposals for sustainable mobility that are relevant for AutomotiveUI. Sustainable development can be interpreted as development that meets the needs of the present without compromising the ability of future generations to meet their own needs. This category includes both environmental and social aspects such as:
ACCESSIBILITY & VARIETY OF USERS
ETHICS, HUMAN AND HUMANE EXPERIENCES
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:
NOVEL INTERFACES AND ARTIFACTS
MODELING, SIMULATION, PREDICTION AND COMPUTATIONAL METHODS
RADICAL, ALTERNATIVE, THOUGHT-PROVOKING PERSPECTIVES*
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.
DEVICES & INTERFACES
AUTOMATION & INSTRUMENTATION
EVALUATION & BENCHMARKING
DRIVER PERFORMANCE, BEHAVIOR & EXPERIENCE
The papers track is meant for your best, original scientific work that is not published elsewhere. Please know that there are other tracks at AutomotiveUI if your work is
Authors are invited to submit papers that are formatted in accordance with the new single-column ACM SIGCHI format. Below are more details on paper format and length.
More details regarding the new ACM workflow for publications can be found here: https://www.acm.org/publications/taps/word-template-workflow
After you submit your paper, it will undergo a rigorous double-blind review process. Neither the reviewers will know the names of the authors, nor will the authors know the names of the reviewers. This process is coordinated by the Technical Program Chairs (TPCs). Submit your best work as the reviewing process is competitive. AutomotiveUI papers cover a variety of areas . However, regardless of area, all accepted papers score highly on contribution, innovation, and quality of thought and writing.
The reviewing process is structured as follows:
AutomotiveUI 2022 is the second year where quick rejects are used, in response to the growing number of submissions and the stress that other factors (e.g., COVID pandemic) put on the reviewing process. The TPC will apply these rejections conservatively.
All accepted papers will be included in the conference proceedings and will be published in the ACM digital library.
Full paper authors will be notified of (conditional) acceptance or rejection around the end of June, 2022. At a later time, authors of conditionally accepted submissions will receive instructions on how to prepare and submit the final formatted version and details on the presentation, live online discussion panel, and scheduling at the conference.
A member of the program committee and the publication chairs will check that your final output meets the requirements for publication and, if so, will finalize the acceptance. Authors are encouraged to submit their final revision earlier than the deadline, in case it is judged that the paper does not meet the committee requirements. If authors are unable to meet these requirements by the deadline, the program chairs will be notified and may be required to remove the paper from the program.
At least one author of accepted papers must register for the conference by the early registration deadline in order for the final version of the paper to be published in the conference proceedings.
Ignacio Alvarez | Intel Corporation, Intel Labs (US) |
Matthias Baldauf | Eastern Switzerland University of Applied Sciences (CH) |
Martin Baumann | Ulm University (DE) |
Gary Burnett | University of Nottingham (GB) |
Chia-Ming Chang | UTokyo (JP) |
Jing Chen | Old Dominion University (US) |
Kuan-Ting Chen | University at Buffalo (US) |
Lewis Chuang | Leibniz Institute for Working Environments and Human Factors; LMU Munich (DE) |
Mark Colley | Ulm University (DE) |
Joost de Winter | Delft University of Technology (NL) |
Debargha Dey | Eindhoven University of Technology (NL) |
Dmitrijs Dmitrenko | University of Sussex (GB) |
Birsen Donmez | University of Toronto (CA) |
Na Du | University of Michigan (US) |
S. Maryam FakhrHosseini | Massachusetts Institute of Technology (US) |
Fred Feng | University of Michigan (US) |
Jing Feng | North Carolina State University (US) |
Yannick Forster | BMW Group (DE) |
Thomas Franke | University of Lübeck (DE) |
Peter Fröhlich | AIT Austrian Institute of Technology (AT) |
Markus Funk | Cerence GmbH (DE) |
Wayne Giang | University of Florida (US) |
Paul Green | University of Michigan (US) |
Joanne Harbluk | Transportation Canda (CA) |
William Horrey | AAA Foundation for Traffic Safety (US) |
Jochen Huber | Furtwangen University (DE) |
Myounghoon Jeon | Virginia Tech (US) |
Yong Gu Ji | Yonsei University (KR) |
Jussi Jokinen | University of Helsinki (FI) |
Wendy Ju | Cornell Tech (US) |
Stas Krupenia | Scania CV AB (SE) |
Tuomo Kujala | University of Jyväskylä (FI) |
Alexander Kunze | Volkswagen AG (DE) |
Patrick Langdon | Edinburgh Napier University (GB) |
David R. Large | University of Nottingham (GB) |
John Lee | University of Wisconsin-Madison (US) |
Seul Chan Lee | Gyeongsang National University (KR) |
Andreas Löcken | Technische Hochschule Ingolstadt (DE) |
Andrii Matviienko | Technical University of Darmstadt (DE) |
Bruce Mehler | Massachusetts Institute of Technology (US) |
Alexander Meschtscherjakov | Paris Lodron University Salzburg (AT) |
Alexander Mirnig | Paris Lodron University Salzburg (AT) |
Brian Mok | BMW Group (US) |
Oscar Oviedo-Trespalacios | Queensland University of Technology (AU) |
William Payre | Coventry University (GB) |
Rashmi Payyanadan | Touchstone Evaluations, Inc. (US) |
Bastian Pfleging | Eindhoven University of Technology (NL / DE) |
Benjamin Poppinga | Audi (DE) |
Anuj Pradhan | University of Massachusetts Amherst (US) |
Benjamin Reaves | Mahnarc (US) |
Bryan Reimer | Massachusetts Institute of Technology (US) |
Andreas Riegler | University of Applied Sciences Upper Austria (AT) |
Andreas Riener | Technische Hochschule Ingolstadt (DE) |
Shannon Roberts | University of Massachusetts Amherst (US) |
Enrico Rukzio | Ulm University (DE) |
Briane Paul Samson | De La Salle University (PH) |
Clemens Schartmüller | Technische Hochschule Ingolstadt (DE) |
Lee Skrypchuk | Jaguar Land Rover (GB) |
Missie Smith | Facebook Reality Labs Research (US) |
Joseph Smyth | WMG, University of Warwick (GB) |
Joonwoo Son | Daegu Gyeongbuk Institute of Science & Technology (KR) |
Kristina Stojmenova | University of Ljubljana (SI) |
Christoph Strauch | Utrecht University (NL) |
Atiyeh Vaezipour | The University of Queensland (AU) |
Bruce Walker | Georgia Tech (US) |
Chao Wang | Honda Research Institute EU (DE) |
Jiayu Wu | Royal College of Art (GB) |
Fei Yan | Ulm University (DE) |
Yiqi Zhang | Pennsylvania State University, University Park (US) |
Winnie Chen | University of Buffalo (US) |