A Work in Progress (WiP) is a concise report of late-breaking findings or other types of innovative or thought-provoking work relevant to the AutomotiveUI community. It represents work that either has yet to reach the 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 contribute to the body of AutomotiveUI knowledge, whether realized or promised.

Important Dates

Submission deadline: June 14, 2023

Decision notification: July 12, 2023

Final formatted version: August 4, 2023

Submissions are accepted until 11:59 pm AoE (Anywhere on Earth). These dates are fixed; there will be no extensions.

Authors are invited to submit extended abstracts formatted following the new single-column ACM SIGCHI format. Submissions will be accepted through the Precision Conference Submission system. Accepted Work-in-Progress extended abstracts will be made available in the AutomotiveUI Adjunct Proceedings, distributed by the conference (e.g., on the conference website) and will secure publication in the ACM Digital Library, where they will remain accessible to researchers and practitioners worldwide.

A significant benefit of a Work in Progress derives from the discussion between the author and conference attendees fostered by the “face-to-face” presentation of the work. In this spirit, accepted submissions will be presented as a (potentially digital) poster during the conference.

For each submission, one of the authors (usually the contact author) must be nominated to act as a reviewer for other WIP submissions. Each assigned reviewer will be expected to review two proposals. This is an excellent opportunity for you to learn about cutting-edge research. In addition, for Ph.D. students, it may be an excellent first exposure to the review process. 

Work In Progress Co-Chairs:

Philipp Wintersberger, Ignacio Alvarez, Jonna Häkkilä


Further details


Submissions to AutomotiveUI in the Work in Progress track must cater to one of the topics outlined below.


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 toward sustainable mobility
  • The “second life” of a car: what happens to the 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 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


AutomotiveUI technologies and interventions 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 dilemmas (related to AutomotiveUI)
  • Philosophical perspectives (related to AutomotiveUI)


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


  • Areas where the field of “computational interaction” (see subcommittee description for CHI) intersects with AutomotiveUI
  • For example, the use of signal detection theory, statistics, control theory, natural language processing, machine learning, deep learning, cognitive architectures, and 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) 


We encourage submissions that take a radically different (“out of the box”) perspective compared to previous AutomotiveUI publications, provided that this perspective is relevant to the AutomotiveUI community and shows scientific rigor and clarity. For example, papers that apply different methods or 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). Instead, it encourages different perspectives that are scientifically valid and grounded but that are in a substantial way different from the “typical” AutomotiveUI paper.


  • 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


  • 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


  • 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


  • 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 thought, behavior, and experience

Prepare and Submit

Submissions require one document, as outlined below:

  1. Extended Abstract: An extended abstract must be formatted following the new single-column ACM SIGCHI format.
    • The length of each extended abstract must be at most 2,000 words, including all main body text. The abstract does not count towards the overall word limit but should be 150 words or less. References, tables, and figures do not count toward the word limit. There are no strict limits on the number of figures or tables, but please ensure that your submission (including references) does not exceed 8 pages.
    • Template. For Work in Progress submissions, please use the single-column ACM SIGCHI template.
      1. Word: Write your extended abstract 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, and no additional formatting is required. A video demonstration of the new template can be found here:
      2. LaTeX: Please use the latest version of the Master Article Template - LaTeX (1.88; published November 8, 2022) 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 ACM’s LaTeX best practices guide should you have any questions.

More details regarding the new ACM workflow for publications can be found here:

  • Any submission exceeding the word limits and/or not adhering to the template will be automatically rejected.
  • Anonymization: The submissions need to be anonymized for double-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 remove identifying information from the title/header area of the paper and also make sure that it does not appear in the document’s metadata. Citations to your previous work must NOT be anonymized so that reviewers can ensure that all previous research has been taken into account. We encourage authors to refer to their previous work in the third person. Further suppression of identity in the body of the paper, while encouraged, is left to the authors’ discretion.
  • Papers should be submitted in English 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.

The Extended Abstract should explicitly communicate the following:

  1. A concise description of the work
  2. Implications of the work for the AutomotiveUI community
  3. Recommendations for further investigation and/or incorporation into practice

Also, please consider the following policies and guidelines:

Please submit your work using the Precision Submission System and prepare it according to the abovementioned requirements.

Due to the short selection cycle, there will not be an opportunity to make major changes in the extended abstracts between your submissions and the camera-ready final documents. Please ensure that your submission is as close to camera-ready as possible.

Selection Process

The submissions will be selected using a double-blind review process. Neither the reviewers will know the names of the authors, nor will the authors know the names of the reviewers. After the initial reviewers make their recommendation, the Work in Progress Chairs will make the final decision. Accepted submissions will be made available in the AutomotiveUI Adjunct Proceedings, distributed by the conference (on the conference website), and appear in the ACM Digital Library.  All submissions are considered confidential during the review process.

Each submission will be reviewed on the following criteria, acknowledging the early-stage nature of the work:

  • The Ability of the Work to Engender Discussion: To what degree will the presentation of this work stimulate interesting conversation among researchers or practitioners? To what extent will the presenters benefit from being able to discuss their work and receive feedback at this stage?
  • Originality: How novel is the contribution? How clearly does the submission communicate how it differs from and goes beyond the most relevant previous work in this area? (Note that comprehensive literature searches are not expected for a Work-in-Progress submission, although the most relevant citations should be included.)
  • Significance: How important is the problem or question that this submission addresses? How important is the output of this work in contributing to the identified problem or question? How greatly can others benefit from this work?
  • Validity: How appropriate are the chosen methods for the work being undertaken?
  • Written Presentation: How understandable is the writing in the poster abstract? To what extent does the poster abstract conform to all Extended Abstract formatting requirements and word limits? Is the paper well written (e.g., no grammatical errors, references are adequately formatted)?

During the WIP review, the first two criteria (‘ability to engender discussion’ and ‘originality’) will be considered twice as important as the other criteria and, therefore, will be weighted accordingly.

The extended abstract shall not contain sensitive, confidential, or proprietary information that cannot be disclosed at publication time. Confidentiality of submissions will be maintained during the review process. All rejected submissions will be kept confidential in perpetuity. All submitted materials for accepted submissions will be kept confidential until the start of the conference, except for title and author information which will be published on the website before the conference. Summaries of completed work or reduced versions of main track AutomotiveUI submissions are inappropriate as a Work-in-Progress submission and will be rejected.

Upon Acceptance of Your Submission

WiP submission authors will be notified of acceptance or rejection by July 30, 2021. Authors of accepted submissions will receive instructions on preparing and submitting the final formatted version and details on the virtual poster, online poster presentation, and scheduling at the conference.

  1. Upon acceptance, you will receive a (digital) ACM eRights form, which you must complete. You must keep the title of your submission the same after you submit the ACM eRights form.
  2.  After the ACM eRights form is submitted, ACM will provide you with the rights information you must insert into your submission via email.
  3. Follow the instructions to transform the submitted (and revised) manuscript into the final, formatted version. 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 needs revisions to meet the committee requirements. If authors cannot meet these requirements by the deadline, the program chairs will be notified and may be required to remove the paper from the program.

Upon acceptance, at least one author must register for the conference by the early registration deadline for the work-in-progress abstracts to be published.