PAPERS

Important Dates

Deadline for meta-data of paper: May 7, 2021
Submission deadline for full paper: May 14, 2021 (NO EXTENSIONS!)
Decision notification: June 29, 2021
Final formatted version: t.b.d. (most likely: mid-July)
Virtual paper sessions: September 9, 10, 13, 14,  2021

All deadlines are AoE (anywhere on earth) on the date shown.

AT A GLANCE

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. 

We look forward to reviewing your work.

Christian P. Janssen, Ronald Schroeter, and Philipp Wintersberger
Technical Program Co-Chairs
papers@auto-ui.org

MESSAGE FROM THE AUTOMOTIVEUI TECHNICAL PROGRAM CHAIRS

Thank you for considering to submit to the papers track of AutomotiveUI 2021. 

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 2019 and 2020, 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:

  • Sustainable Development
  • Accessibility & Variety of Users
  • Novel Interfaces and Artifacts

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”.

Online format and recording: As the conference is virtual, presentations will be online. To cater to diverse timezones, all presentations of accepted papers will be recorded or pre-recorded. Authors who submit their paper should be aware that a recorded version of their presentation will be made available to the delegates. 

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. We anticipate that the COVID pandemic worsens this further as it reduces the availability of reviewers and chairs this year. 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!

Christian P. Janssen, Ronald Schroeter, and Philipp Wintersberger
Technical Program Chairs
papers@auto-ui.org

Further details


INTENDED CONTRIBUTIONS AND TOPICS

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:

  • Quantitative user study and human factors. Contribution focusing on a quantitative (e.g., statistical) analysis of user behavior and experience. For example, description and evaluation of an experiment.
  • Qualitative user study and / or human factors. Contribution in which qualitative, contextual insight about user behavior and experience is central. For example, focus groups, interviews, or ethnographic studies.
  • Design and artifact prototyping. Contribution in which the design or refinement of an interaction concept is central. For example, design fiction or naturalistic user enactment.
  • Software, technology, and engineering. Contribution in which the technical development of a system is central. For example, studies that provide insight in fundamental (engineering) properties of touch- or audio-based interfaces in such a way that they provide an essential contribution for human-vehicle interaction as well as  future mobility studies more broadly.
  • Research method. Contribution in which a novel research method or refinement of a research method is central. For example, development and validation of a new questionnaire or other critical instrument for measuring or analyzing human-vehicle interaction.
  • Simulation and modeling. Contribution in which simulation or modeling of the human, the environment, or the world is central. For example, cognitive models of human attention, statistical models of likelihood of an accident, or simulations of automated driving scenarios.
  • Theory. Contribution in which theoretical refinement is central, typically based on a systematic review. Such a theoretical contribution should be more than a summary of existing literature. For example, a review of literature on a specific topic to inform novel insights and perspectives or unknown knowledge gaps in the literature.
  • Other. This category that can be used by researchers that think their work is not captured by any of the above contribution types. Please note: If your study fits two or more, we advise you to NOT pick “other”, but rather set the main contribution and the most important second contribution. For example, a paper could introduce a design concept that is also studied using a user study that has a quantitative and qualitative component. 

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:

  • Sustainable Development 
  • Accessibility & Variety of Users
  • Novel Interfaces and Artifacts

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:

    • (User interaction with or user interfaces for) green cars
    • (User interaction with or user interfaces for) car sharing
    • User perception, acceptance and trust in technologies related to sustainability, environmental impact
    • User interfaces for behavior change towards sustainable mobility
    • The “second life” of a car: what happens to car after the first owner sells it to another owner (potentially: from another country, context)
    • Environmental impact of technologies related to AutomotiveUI
    • Prosocial traffic behavior
    • The effect of driving automation on employment

ACCESSIBILITY & VARIETY OF USERS

    • Accessibility of AutomotiveUI related technology, settings, and contexts
    • Under-represented groups and their experiences
    • Technologies that accommodate more than “the average” user
    • Experience in and perspective on AutomotiveUI for the Global South

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:

    • Ethics (related to AutomotiveUI)
    • Human and humane experiences (related to AutomotiveUI)
    • Trust (related to AutomotiveUI)
    • Ethical and social dilemma’s (related to AutomotiveUI)
    • Philosophical perspectives (related to AutomotiveUI)

NOVEL INTERFACES AND ARTIFACTS

    • Design and validation of novel interfaces and artifacts
    • Novel methods, insights from engaging in or with the design of interactive systems and artefacts.

MODELING, SIMULATION, PREDICTION AND COMPUTATIONAL METHODS

    • Areas where the field of “computational interaction” (see subcommittee description for CHI) intersects with AutomotiveUI
    • For example: use of signal detection theory, statistics, control theory, natural language processing, machine learning, deep learning, cognitive architectures, simulation to gain insight into AutomotiveUI
    • Computational cognitive or social models to predict human behavior for future interfaces
    • Models or simulations to integrate insights about driving (e.g. in cognitive architectures) 

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

    • Different input modalities, such as multi-modal, speech, audio, gestural, thermal, touch, natural input/output
    • Different output modalities, such as multi-modal, audio, gestural, thermal, touch, natural input/output
    • In-car gaming, entertainment and social experiences
    • Interfaces for navigation
    • Text input and output while driving
    • Applications and user-interfaces for inter-vehicle communication
    • Sensors and context for interactive experiences in the car
    • Biometrics and physiological sensors as a user interface component
    • Electric vehicle interfaces
    • Affective intelligent interfaces
    • Future interfaces and technology for the automotive domain

AUTOMATION & INSTRUMENTATION

    • Automated driving and interfaces for (semi) autonomous driving
    • Head-Up Displays (HUDs) and Augmented Reality (AR) concepts
    • Cooperative Driving/Connected Vehicles
    • Assistive technology in the vehicular context
    • Information access (search, browsing, etc.)
    • Vehicle-based apps, web/cloud enabled connectivity
    • Entertainment and play (semi) autonomous driving
    • Ethics

EVALUATION & BENCHMARKING

    • Methods and tools for automotive user-interface research, including simulation
    • Automotive user-interface frameworks and toolkits
    • Naturalistic/field studies of automotive user interfaces
    • Automotive user-interface standards
    • Modeling techniques for cognitive workload and visual demand estimation

DRIVER PERFORMANCE, BEHAVIOR & EXPERIENCE

    • Human cognition and behavior in automotive settings
    • Different user groups and user group characteristics
    • Subliminal cues, warnings and feedback to augment driving behavior
    • Emotional or cognitive state recognition while driving
    • Detecting / measuring driver distraction and workload
    • Detecting and estimating user intentions
    • (Cognitive or social) Modeling of driver though, behavior, and experience

Prepare and Submit

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

  • not yet complete, but would benefit from feedback from the community (“Work in progress (WIP) track”);
  • aimed at community forming (“Workshops and tutorials track”);
  • a video demonstration of an important development (“Video demo track”); or
  • meant as feedback on ongoing doctoral (PhD) dissertation research (“Doctoral Colloquium (DC)”).

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.

  1. Paper submissions must use the single-column ACM SIGCHI template.
  • Word: Write your paper using the Submission Template (Review Submission Format). Follow the embedded instructions to apply the paragraph styles to your various text elements. The text is in single-column format at this stage and no additional formatting is required at this point. A video demonstration of the new template can be found here: https://youtu.be/sUGEoPaXRKQ
  • LaTeX: Please use the latest version of the Master Article Template - LaTeX (1.75; published November 16, 2020) to create your article submission. With the “sample-sigconf.tex” template, use the “manuscript” call to create a single column format, i.e., setting \documentclass[manuscript]{acmart}. Please review the LaTeX documentation and ACM’s LaTeX best practices guide should you have any questions.

More details regarding the new ACM workflow for publications can be found here: https://www.acm.org/publications/taps/word-template-workflow

  1. Originality, writing, and formatting. In a nutshell, submit your best work as the reviewing process is competitive. AutomotiveUI papers cover a variety of areas (discussed later). However, regardless of area, all accepted papers score highly on contribution, innovation, and quality of thought and writing.
    In more detail:
    Your submission must be original; it cannot be published or be under concurrent review elsewhere. If you make multiple submissions to AutomotiveUI 2021, along any track, they must be distinct from each other.
  • Relevance to AutomotiveUI: We expect submissions to bear relevance to the AutomotiveUI community and previous publications. Submissions should strive to make this explicit by referencing proceedings of previous years, which are available through the ACM digital library.
  • Paper Length. Authors are encouraged to submit a paper of length proportional to its contribution, with a minimum of 6 pages and maximum of 13 pages (single column, formatted using the provided template). References do not count towards this page count. All other page elements do count. Shorter, more focused papers are encouraged and will be reviewed like any other paper. Papers whose lengths are incommensurate with their contributions will be rejected. Papers may be perceived as too long if they are repetitive or verbose, or too short if they omit important details, neglect relevant prior art, or tamper with formatting rules to save on page count.
  • Anonymization. Papers must be anonymized for blind review. We use a relaxed model that does not attempt to conceal all traces of identity from the body of the paper. However, you do need to completely remove identifying information from the title/header area of the paper, and ensure that it does not appear in the document’s meta-data. Citations to your own previous work should be treated with extra care, weighing up anonymisation and the ability for reviewers to take into account all previous research. We encourage authors to refer to their previous work in the third person. Further suppression of identity in the body of the paper is left to the authors’ discretion (e.g., identity could also be revealed through pictures of set-ups, campuses; such instances should be avoided).
  • Contribution types and Topics. Please have a look at the contribution types and conference topics for AutomotiveUI 2021 (bottom of page) or contact the Technical Program Chairs if you are unsure whether your submission fits the conference.
  • Guidelines. Please have a look at the following resources:
  • Prepare supplementary material (optional). We encourage authors to supply supplementary materials that can aid transparency, openness, and future replication of their work. Your submission may be accompanied by a short video or by other supplementary material. Videos do not have a specified limit for duration, although we recommend staying within 5 minutes. Other supplementary material may include, for example, survey text, experimental protocols, source code, and data, all of which can help with replicability of your work. Any non-video supplementary material should be submitted as a single .zip file, including a README file with a description of the materials. Your total submission size (paper + supplementary material) must be no more than 100 MB. Note, however, that your submission must stand on its own and will be reviewed as such. It is the authors’ responsibility to check for compliance with local (institutional) regulations regarding sharing of study materials and participant data. 
  • Previous work. In instances where your new submission builds directly on a project described in another, as-yet-unpublished paper, it is recommended that you submit an anonymized version of that other paper as supplementary material. You may choose to also include a note of explanation as to the novel contribution of the present submission. If the previous work is already published, it may simply be cited in the body of the paper as per usual, and should not be included in the supplementary materials.
  • Make your submission. Submit and resubmit your material using the Precision conference submission system (https://new.precisionconference.com) until the submission deadline. Be sure to select the appropriate conference and submission track (i.e., SIGCHI > AutoUI 2021 > Paper).
    To aid the review process, authors are requested to indicate which type of research contribution that the submission makes. This information will be used to find the most appropriate meta-reviewers / ACs (Associate Chairs). See above. 
  • Opening of submission system. The submission system will open for submissions approximately four weeks before the submission deadline.
  • Language editing. Papers should be submitted in the English language and be free of spelling or grammar errors. This includes text embedded in figures. We recommend having your article proofread by native speakers of English before submission.
    ACM has partnered with International Science Editing (ISE) to provide discounted language editing services to ACM authors. ISE offers a comprehensive range of services for authors including standard and premium English language editing, as well as illustration and translation services. Visit acm.internationalscienceediting.com. Please note that these editing services are at the author’s expense and do not guarantee publication of a manuscript.
  • Accessibility. Please make every effort to make your submission accessible. Please see guide to an accessible submission (explanation for CHI 2019, most of it applies to AutomotiveUI 2021 as well)
  • Paper formatting. When you submit your paper it should be formatted using the provided template. If your paper gets accepted, our papers chairs will contact authors about the requirements for final submission. They might also contact if any errors occur during final checks of the format. Authors should be aware that AutomotiveUI works on a limited time-line. Some of this communication will happen during the summer, shortly after decision notification. More details will be provided after paper acceptance.

Review Process

After you submit your AutomotiveUI 2021 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:

  1. TPC Check: After the submission deadline, the Technical Program Chairs (TPC) check whether papers meet:
    • all formal requirements that are mentioned on this page (e.g., anonymized, appropriate length, formatted using the template) 
    • Rough parameters of the conference content and scope. This is mostly a check whether papers are not accidentally submitted to the wrong conference.
  2. Desk-Rejects: Papers that do not meet the above requirements can be marked as a candidate for desk-rejection by a member of the TPC. The TPC will review these candidates. If all members of the TPC agree that it is a desk-reject, then the paper will get rejected without external reviews. It is expected that these occurrences are rare.
  3. 1AC Assignment: Each remaining paper is assigned by the TPC to an Associate Chair, referred to as the 1AC, who coordinates the further review of the submission. They summarize the perspectives of all reviewers and provide the final advice on acceptance or rejection to the TPC. In the assignment, the TPC makes use of the keywords and other descriptors of the paper. We try to find the best match. The 1AC can see author identifying information to ensure that conflicts of interests are avoided when assigning reviewers. Note that ACs are senior members of the community with ample reviewing experience.
  4. 2AC Assignment: Each paper is also assigned to a second Associate Chair, referred to as the 2AC. This 2AC writes an independent review without seeing any author identifying information (i.e., double-blind review).
  5. Quick-Rejects: The 1AC and 2AC are asked to do another check whether papers meet criteria for a desk reject or quick reject. If that is the case, they pass this on to the Technical Program Chairs. If the TPCs unanimously agree, the paper will be rejected. Quick rejects are papers that meet the formal requirements, but that suffer from severe limitations that limit its ability to get accepted due to the competitive nature of the review process. We use the same criteria as outlined in this CHI 2020 blogpost to identify quick rejects:
    • Grossly insufficient detail to replicate the apparatus or the experiment
    • Grossly insufficient data to validate the analysis to support the claim 
    • Grossly insufficient literature review to contextualize and/or evaluate the proposed novelty/contribution to AutomotiveUI and related domains and communities in particular
    • Contribution to AutomotiveUI and related domains/communities is much too small given the length of the submitted paper 
    • Paper is very sloppy: lots of typos, missing references, formatting issues (including large white spaces)

AutomotiveUI 2021 is the first 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.

  1. Inviting Reviewers: The 1AC and 2AC each invite 1 external reviewer. 
  2. Reviews: The 2AC and the external reviewers write an external review and make a recommendation to the 1AC whether they think the paper should be accepted or rejected. The aim is that the 1AC is informed by 2-3 reviews.
  3. 1AC Meta-Review & Recommendation: Once all reviews are in, the 1AC checks the reviews for quality and writes a meta-review in which they advise the TPC on acceptance or rejection of the paper. The 1AC can also decide to have further discussion among reviewers using an internal reviewer forum if scores deviate a lot.
  4. TPC Decision: In the end, the TPC gets presented with a series of scores and qualitative reviews. These are used to rank all papers and decide which papers get rejected, or conditionally accepted. Conditional acceptance is the standard for an accepted paper, and indicates that each paper requires some changes based on the review process. All decisions are final.
  5. Author Notification: These outcomes are communicated to the authors.

All accepted papers will be included in the conference proceedings and will be published in the ACM digital library.

Upon Acceptance of Your Submission

Full paper authors will be notified of (conditional) acceptance or rejection around the end of June, 2021. 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.

  1. Upon acceptance, you will receive a (digital) ACM eRights form, which you are required to complete. You cannot change the title of your paper after you submitted the ACM eRights form.
  2. After the ACM eRights form is submitted, ACM we will provide you with the rights information you must insert into your paper via email.
  3. Follow the instructions to transform the submitted (and revised) manuscript into the final, formatted version. Detailed instructions along with a video tutorial will be sent to authors regarding this stage. The final formatted version will then be uploaded through the production system.

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.

In order for the final version of the paper to be published in the conference proceedings, at least one author of accepted papers must register for the virtual conference by the early registration deadline in order for the final version of the paper to be published in the conference proceedings.

At the virtual conference

At the virtual conference, authors will present their work in a presentation with a pre-recorded video. They will also take part in a live Q&A session about the paper. The exact format of the presentation will be decided and communicated at a later time.

Organizers will attempt to accommodate authors in time slots that are most ideal given their time zone. Note however, that we do a good faith attempt, but cannot guarantee that we can accommodate all individual requests.

Authors who do not submit a presentation or participate in the live session may have their paper removed from the proceedings and the digital library.

Program Committee

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)