Papers & Notes: Call for Participation

Quick Facts – Papers & Notes

AutomotiveUI Papers and AutomotiveUI Notes are archival publications of original research in the field of human-computer interaction (HCI) and automotive user interfaces (AutomotiveUI).

News & Changes from 2016

  • Deadline extension: Due to a multitude of requests, we extended the submission deadline to May 17, 2017!
  • Paper length: References will not count towards the page limit
  • Camera-ready instructions

Important Dates

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

  • Submission deadline: April 27, 2017 extended to May 17, 2017
  • Decision notification: June 30, 2017
  • Camera-ready papers due: July 21, 2017
  • Conference: September 24-27, 2017

Submission: Precision conference submission system

Submission format: anonymized, up to 8 pages Paper or up to 4 pages Note in the ACM SIGCHI format (LaTeX templateWord template) with a maximum 150 word abstract. References do not count toward the page limit.

Selection process: Refereed.

At the Conference: Accepted submissions will be presented at the conference. We will provide more information after the acceptance notifications are sent out.

After the Conference: Papers are accessible in the conference proceedings, available on the ACM Digital Library.

Chairs: Bastian Pfleging and Birsen Donmez, e-mail: papers2017(Replace this parenthesis with the @ sign)

Message from the AutomotiveUI Program Chairs

AutomotiveUI Papers and Notes are refereed publications of original research on interface use, product evaluation, theories of human interaction, the adoption of new technology, or aspects of driver interfaces relevant to this conference. AutomotiveUI Papers and Notes are read and cited worldwide, and have broad impact on the development of theory, method, and practice in this domain.

Both Papers and Notes represent mature, complete research; Notes typically represent more focused contributions than Papers.

Authors must present accepted Papers and Notes at the AutomotiveUI conference. Accepted manuscripts appear in the AutomotiveUI Proceedings, which is listed in the ACM Digital Library. The ACM Digital Library includes a mechanism to enable authors to provide perpetual free public access to their papers. See below for details.

Accepted Papers and Notes may come from any area of AutomotiveUI activity: academia or industry; science, engineering, or craft; analysis or design. Acceptance is highly competitive: all accepted Papers and Notes will score highly on innovation, contribution, and quality of thought and writing. Submit your best work!

Bastian Pfleging and Birsen Donmez
Papers and Notes Co-chairs

Details – Preparing and Submitting your Paper or Note

Authors are invited to submit papers that are 8 pages (full paper) and notes (4 pages) formatted in accordance with the two-column ACM SIGCHI format (LaTeX template, Word template). In line with many other SIGCHI conferences, references do not count towards the page limit!

1. Write and format your Paper or Note. Your submission must be original; it cannot be published or be under concurrent review elsewhere. If you make multiple submissions to Automotive 2017 Papers and Notes, they should be distinct from each other. This restriction applies even if the overlap in review timelines between AutomotiveUI and another venue is just a few days or a few hours, and even if it is your intention to withdraw the submission from the other venues as soon as it is accepted by one of them. This restriction also applies even if the other venue allows simultaneous submission. We will make every effort to identify simultaneous submissions, and AutomotiveUI reviewers are often familiar with the papers under review at other related conferences and journals; as such, submissions that are substantially similar run the risk of being rejected by AutomotiveUI and the other venues on grounds of duplication alone.

A Paper is no more than 8 pages long, and no shorter than 5 pages, while a Note is no more than 4 pages long. References do not count toward these lengths. Page length includes figures, appendices, and an abstract of less than 150 words. Submissions that exceed these limits will be rejected.

Papers need to 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 also make sure that it does not appear in the document’s meta-data. Citations to your own 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.

Please have a look at the overall submission topics of AutomotiveUI ’17 or contact the program chairs if you are unsure whether your submission fits to the conference.

Also, please have a look at the following resources:

2. Prepare supplementary material (optional). Your submission may be accompanied by a short video or by other supplementary material.  Video figures 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. Since not everyone who reads the Paper or Note will view the supplementary material, your submission must stand on its own, and will be reviewed as such.

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.

3. Make your submission. Submit and resubmit your material using the Precision conference submission system before the submission deadline.

The submission system will open for submissions approximately four weeks before the submission deadline.

AutomotiveUI Papers and Notes Review Process

After you submit your AutomotiveUI Paper or Note, it will undergo a rigorous review process. Papers and Notes follow the same rigorous double-blind peer 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 managed by the Technical Program Chairs (TPCs) and Associate Chairs (ACs) of the program committee. Confidentiality of submissions is maintained throughout the review process.

  1. After the submission deadline, associate chairs will have the chance to bid for submission they  prefer to review.
  2. TPCs will then assign each paper to a primary AC (1AC) as well as a secondary AC (2AC). Each AC will find one external reviewer for each of their assigned papers. Thus, each paper will be assigned two ACs (one 1AC and one 2AC) along with two external reviewers. As part of this process, we strive to find ACs and reviewers who are experts in the topic area of each submission.
  3. During the review period, external reviewers will write a detailed review of their assigned papers and assess the contribution of the research to the field. The 2AC will also write a detailed review of their assigned papers. Thus, each submitted paper will receive three detailed reviews in total.
  4. After the reviews have been written, the 1AC for a paper will write a meta review of the paper that summarizes the reviews from the two external reviewers and the 2AC. In case of discrepancies, the 1AC should encourage a discussion among the reviewers. The 1AC will then present a recommendation for the paper’s acceptance or rejection to the TPCs responsible for the paper.
  5. TPCs will review the scores and meta reviews for each of their assigned papers and discuss the final acceptance of papers for inclusion in the AutomotiveUI 2017 program.

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

At the highest level, the submitted papers and notes present novel and interesting content that is well presented.  More, specifically, reviewers should consider the following for their reviews:

  • Originality, novelty – Your primary criterion for judging a paper is: Does this submission provide a strong contribution to the field of AutomotiveUI? Does this submission present something new or something that has been done before but in an improved manner? Does it extend what we know?
  • Are the questions to be examined clearly stated?
  • Does the submission link to previous research to the questions examined? I.e., does it appropriately cite prior work?
  • If the research was experimental, was it rigorously and carefully done? Are there enough details so that someone else can repeat the evaluation (for instance use SAE J2944 definitions) and get the same results within the limits of statistical error?
  • Is the paper well written (e.g., no grammatical errors, references are formatted properly)? Note to authors: If you writing skills are not very good, please consult a professional editor to edit your manuscript.
  • Paper or Note? Papers and Notes are both reviewed within the same rigorous review process and at the highest level are judged by very similar criteria (i.e., does this Paper or Note provide a strong contribution to the field of HCI?). However, it is important as a reviewer to realize that the type of content that is appropriate for each is somewhat different. In particular, Notes present brief and focused research contributions that are noteworthy, but may not be as comprehensive or provide the same depth of results as a Paper.
  • Prior publication: Content appearing at AutomotiveUI should be new and ground-breaking. Therefore, material that has been previously published in widely disseminated archival publications should not be republished unless the work has been significantly revised. Guidelines for determining “significance” of a revision are stated in the ACM Policy on Pre-Publication Evaluation and the ACM Policy on Prior Publication and Simultaneous Submissions. Roughly, a significant revision would contain more than 25% new content material (i.e., material that offers new insights, new results, etc.) and significantly amplify or clarify the original material. These are subjective measures left to the interpretation and judgment of the reviewers and committee members – authors are advised to revise well beyond the policy guidelines. Also note that non-archival venues, such as workshop presentations, posters, and AutomotiveUIs own Works-in-Progress / Interactive Demos do not count as prior publications. Also note that an AutomotiveUI paper should not be rejected on the grounds that it overlaps with work developed independently that was published after the AutomotiveUI submission was made, during the review period.  In other words, work that an author couldn’t have known about shouldn’t count against him or her.

Upon Acceptance of Your submission

Full paper / note authors will be notified of (conditional) acceptance or rejection on June 30, 2017. Authors of conditionally accepted submissions will receive instructions on how to prepare and submit the camera-ready version by July 21, 2017, and details on the presentation and scheduling at the conference.

  1. Upon acceptance, you will receive a (digital) copyright form, which you are required to complete. You cannot change the title of your paper after you submitted the copyright form!
  2. After the copyright form is submitted, we will provide you with the copyright information you must insert into your paper.
  3. Submit the final, camera-ready version through the submission system. Please remember to remove any page numbers for this final submission and follow the camera-ready instructions. Submission of the camera-ready version includes, and is not complete without, giving us permission to distribute your final camera-ready version as described above.

A member of the program committee and the publication chairs will check that the final version meets the requirements for publication and, if so, will finalize the acceptance. Authors are encouraged to submit their revision earlier than the deadline, in case it is judged that the paper does not meet the committee requirements. If the 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.

Upon acceptance, at least one author 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.

At the conference

Authors are required to present their work in a scheduled session with other AutomotiveUI papers and notes. Paper authors with accepted papers will have 16 minutes to present (+4 minutes of questions) and authors of accepted notes will have 12 minutes (+3 minutes of questions).

We expect authors to be present for the full session in which they present. Please test your presentation in advance (e.g., during the coffee breaks), and present yourself to the session chair before the start of your session.

Papers/notes whose authors do not present their paper may be removed from the proceedings and the digital library.

After the Conference

Accepted papers and notes will be included in the conference proceedings and will be published in the ACM Digital Library, where they will remain accessible to researchers and practitioners worldwide.

AutomotiveUI 2017 Program Chairs:

For further information, please contact the paper co-chairs at papers2017(Replace this parenthesis with the @ sign)

Full Papers & Notes: Program Committee

  • Ignacio Alvarez, Intel Corporation, USA
  • Martin Baumann, Ulm University, Germany
  • Klaus Bengler, Technical University of Munich, Germany
  • Linda Boyle, University of Washington, USA
  • Nora Broy, BMW Group, Germany
  • Gary E. Burnett, University of Nottingham, UK
  • Winnie Chen, SUNY Buffalo, USA
  • Lewis Chuang, Max Planck Institute for Biological Cybernetics, Germany
  • Ayse Leyla Eren, University of Nottingham, United Kingdom
  • Fred Feng, University of Michigan Transportation Research Institute, USA
  • Jing Feng, North Carolina State University, USA
  • Peter Fröhlich, Austrian Institute of Technology GmbH, Austria
  • Andrea Furlan, Toronto Rehabilitation Institute, Canada
  • Joseph L. Gabbard, Virginia Tech, USA
  • Thomas M. Gable, Georgia Institute of Technology, USA
  • Andrew Gellatly, General Motors, USA
  • Jeff Greenberg, Ford Motor Company, USA
  • Richard Joseph Hanowski, Transportation Institute, USA
  • Marian Harbach, AUDI AG, Germany
  • Wilko Heuten, OFFIS – Institute for Information Technology, Germany
  • William Horrey, Liberty Mutual Research Institute for Safety, USA
  • Christian Janssen, Utrecht University, The Netherlands
  • Myounghoon “Philart” Jeon, Michigan Tech, USA
  • Nicholas Kelling, University of Houston Clear Lake, USA
  • Sven Krome, RMIT University, Australia
  • John Krumm, Microsoft Research, USA
  • Andrew L. Kun, University of New Hampshire, USA
  • Patrick Langdon, University of Cambridge, United Kingdom
  • David R. Large, University of Nottingham, United Kingdom
  • John D. Lee, University of Wisconsin-Madison, USA
  • Andreas Löcken, University of Oldenburg, Germany
  • Tomas Macek, IBM Czech Republic, Czech Republic
  • Rod McCall, Luxembourg Institute of Science and Technology, Luxembourg
  • Zeljko Medenica, University of New Hampshire, USA
  • Bruce Mehler, Massachusetts Institute of Technology, USA
  • Alexander Meschtscherjakov, University of Salzburg, Austria
  • David B. Miller, Stanford University, USA
  • Erika Miller, University of Washington, USA
  • Alexander Mirnig, University of Salzburg, Austria
  • Heiko Müller, University of Oldenburg, Germany
  • Michael Nees, Lafayette College, USA
  • Ioannis Politis, University of Cambridge, United Kingdom
  • Benjamin Poppinga, Smarttention Systems, Germany
  • Ben Reaves, Speech Morphing Inc, USA
  • Bryan Reimer, Massachusetts Institute of Technology, USA
  • Andreas Riener, Technische Hochschule Ingolstadt, Germany
  • Maria Rimini-Doering, Robert Bosch GmbH, Germany
  • Shannon Roberts, University of Massachusetts Amherst, USA
  • Shadan Sadeghian Borojeni, OFFIS – Institute for Information Technology, Germany
  • Ronald Schroeter, Queensland University of Technology, Australia
  • Kazunori Shidoji, Kyushu University, Japan
  • Joonwoo Son, DGIST, Korea
  • Fabius Steinberger, University of Technology, Australia
  • Ivan J. Tashev, Microsoft Research, USA
  • Jacques M.B. Terken, Eindhoven University of Technology, The Netherlands
  • Serge Thill, University of Skövde, Sweden
  • Antonella Toffetti, Centro Ricerche Fiat, Italy
  • Manfred Tscheligi, University of Salzburg, Austria
  • Bruce N. Walker, Georgia Institute of Technology, USA
  • David Wilfinger, Daimler AG, Germany

Full Papers & Notes: External Reviewers

  • Daniel Afergan, Google, USA
  • Jonas Andersson, RISE Vikoria, Sweden
  • Vicki Antrobus, University of Nottingham, United Kingdom
  • Amna Asif, King Faisal University, Saudi Arabia
  • Ilhan Aslan, Augsburg University, Germany
  • Lynne Baillie, Heriot-Watt University, UK
  • Saskia Bakker, Eindhoven University of Technology, The Netherlands
  • Matthias Baldauf, FHS St.Gallen, Switzerland
  • Victoria Banks, University of Nottingham, United Kingdom
  • Woodrow Barfield, Duke University, USA
  • David Beattie, Glasgow Caledonian University, Scotland
  • Michal Bida, IBM Czech Republic, Czech Republic
  • Darrell Bowman, Volvo Truck, USA
  • Michael Bradley, University of Cambridge, United Kingdom
  • Stefan Brandenburg, Technische Universität Berlin, Germany
  • Michael Braun, BMW Group, Germany
  • Dorothea Brockmann, HERE Technologies, Germany
  • Duncan Brumby, University College London, United Kingdom
  • HeeSun Choi, North Carolina State University, USA
  • Andreea Danielescu, Arizona State University, USA
  • Debargha Dey, Eindhoven University of Technology, The Netherlands
  • Cyriel Diels, Coventry University, United Kingdom
  • Richard A. Donkor, JLR, United Kingdom
  • Josh Ekandem, Intel Corporation, USA
  • Abdallah El Ali, University of Oldenburg, Germany
  • Johan Engstrom, Virginia Tech, USA
  • S. Maryam FakhrHosseini, Michigan Technological University, USA
  • Mingming Fan, University of Toronto, Canada
  • Sébastien Faye, University of Luxembourg, Luxembourg
  • Anna Feldhütter, Technical University of Munich, Germany
  • Thomas K. Ferris, Texas A&M University, USA
  • George C. Filip, The University of Nottingham, United Kingdom
  • Yannick Forster, BMW Group, Germany
  • Lex Fridman, Massachusetts Institute of Technology, USA
  • Anna-Katharina Frison, Technische Hochschule Ingolstadt, Germany
  • Wayne C. W. Giang, University of Toronto, Canada
  • Christiane Glatz, Max Planck Institute for Biological Cybernetics, Germany
  • Matthias Gottlieb, Technical University of Munich, Germany
  • Nikhil Gowda, Stanford University, USA
  • Paul Allan Green, University of Michigan, USA
  • Jens Grubert, University of Technology Graz, Austria
  • Feng Guo, Virginia Tech, USA
  • Gabriel Haas, Ulm University, Germany
  • Azra Habibovic, RISE Viktoria, Sweden
  • Jonna Häkkilä, University of Oulu, Finland
  • Joanne Harbluk, Transport Canada, Canada
  • Bret A. Harsham, Mitsubishi Electric Research Labs, USA
  • Mariam Hassib, University of Stuttgart, Germany
  • Takehito Hayami, Okayama University, Japan
  • Jibo He, Wichita State University, USA
  • Jennifer A. Healey, Intel Corporation, USA
  • Remo van der Heiden, Utrecht University, The Netherlands
  • Tove Helldin, School of Informatics, Sweden
  • Sebastian Hergeth, BMW Group, Germany
  • Pierro Hirsch, Virage Simulation, Canada
  • Christina Hochleitner, Austrian Institute of Technology GmbH, Austria
  • Liberty Hoekstra-Atwood, Battelle Memorial Institute, USA
  • Hanneke Hooft van Huysduynen, Technische Universiteit Eindhoven, The Netherlands
  • Klas Ihme, German Aerospace Center, Germany
  • Shamsi Iqbal, Microsoft Research, USA
  • Heejin Jeong, University of Michigan, USA
  • Yong Gu Ji, Yonsei University, Korea
  • Zhenhua Jia, Rutgers University, USA
  • Nan Jiang, Bournemouth University, United Kingdom
  • Wendy Ju, California College of the Arts, USA
  • Enkelejda Kasneci, University of Tübingen, Germany
  • Kerstin Sabine Keil, Ericsson GmbH, Germany
  • Satoshi Kitazaki, National Institute of Advanced Industrial Science and Technology, Japan
  • Styliani Kleanthous, University of Cyprus, Cyprus
  • Moritz Körber, Technical University of Munich, Germany
  • Anna Krahnstoever, AUDI AG, Germany
  • Stas Simon Krupenia, Scania CV AB, Sweden
  • Tuomo Kujala, University of Jyväskylä, Finland
  • Steven Landry, Michigan Technological University, USA
  • Gierad Laput, Carnegie Mellon University, USA
  • Glyn M. Lawson, The University of Nottingham, United Kingdom
  • Joonbum Lee, University of Wisconsin-Madison, USA
  • Yulan Liang, Liberty Mutual, USA
  • Patrick Lindemann, Technical University of Munich, Germany
  • Ke Liu, University of Michigan, USA
  • Nicolas Louveton, Université du Luxembourg, Luxembourg
  • Artur Lupp, University of Salzburg, Austria
  • Maurice Masliah, Headlight Consulting Inc., Canada
  • Yuji Matsuki, Fukuoka Institution of Technology, Japan
  • Keenan May, Georgia Institute of Technology, USA
  • Sven Mayer, University of Stuttgart, Germany
  • Mark McGill, University of Glasgow, United Kingdom
  • Tom McWilliams, Tufts University, USA
  • Maryam Merrikhpour, University of Toronto, Canada
  • Nicole Mirnig, ICT&S Center/University of Salzburg, Austria
  • Sachi Mizobuchi, Vocalage Inc., Canada
  • Katharina Mödl, Technical University of Munich, Germany
  • Dylan Moore, Stanford University, USA
  • Frederik Naujoks, Wuerzburg Institute for Traffic Sciences (WIVW), Germany
  • Alexander Ng, University of Glasgow, United Kingdom
  • Brittany Elise Noah, Georgia Institute of Technology, USA
  • Henri Palleis, BMW Group, Germany
  • Sanna Pampel, University of Nottingham, United Kingdom
  • Wen-Chih (Chris) Peng, National Chiao Tung University, Taiwan
  • Anthony Perritano, University of Illinois at Chicago, USA
  • Nicole Perterer, ICT&S Center, Austria
  • Lorenz Prasch, Technical University of Munich, Germany
  • Jonas Radlmayr, Technical University of Munich, Germany
  • Andry Rakotonirainy, Queensland University of Technology, Australia
  • Georg Regal, Austrian Institute of Technology GmbH, Austria
  • Florian Roider, BMW Group, Germany
  • Sonja Rümelin, BMW Group, Germany
  • Daisuke Sakamoto, Hokkaido University, Japan
  • Siby Samuel, University of Massachusetts Amherst, USA
  • Ben Sawyer, Massachusetts Institute of Technology, USA
  • Sean Seaman, Touchstone Evaluations, USA
  • Bobbie D. Seppelt, Massachusetts Institute of Technology, USA
  • Gözel Shakeri, University of Glasgow, United Kingdom
  • Felix Wilhelm Siebert, Leuphana University, Germany
  • Missie I. Smith, Virginia Tech, USA
  • Alessandro Soro, Queensland University of Technology, Australia
  • Wolfgang Spiessl, BMW Group, Germany
  • Susanne Stadler, University of Salzburg, Austria
  • Patrick Stahl, University of Toronto, Canada
  • Jason Sterkenburg, Michigan Technological University, USA
  • Tim C. Stratmann, University of Oldenburg, Germany
  • Henrik Svensson, University of Skövde, Sweden
  • Walter J. Talamonti, Ford Motor Company, USA
  • Cagri Tanriover, Intel Corporation, USA
  • Louis Tijerina, Ford Motor Company, US
  • Konrad Tollmar, KTH, Sweden
  • HEISHIRO Toyoda, Toyota Motor North America, USA
  • Sandra Trösterer, University of Salzburg, Austria
  • Atiyeh Vaezipour Vaezipour, Queensland University of Technology, Australia
  • Eduardo E. Veas, National University of Cuyo, Argentina
  • Torben Wallbaum, OFFIS – Institute for Information Technology, Germany
  • Chao Wang, Eindhoven University of Technology, The Netherlands
  • Nathan Ward, Tufts University, USA
  • Christopher N. Watling, Queensland University of Technology, Australia
  • Garrett L. Weinberg, Apple, USA
  • Mark Edmond Whiting, Carnegie Mellon University, USA
  • Jeffrey B. Wilson, Georgia Institute of Technology, USA
  • Philipp Wintersberger, Technische Hochschule Ingolstadt, Germany
  • Benjamin Wolfe, Massachusetts Institute of Technology, USA
  • Mengwen Xu, Tsinghua University, China
  • Yusuke Yamani, Old Dominion University, USA
  • Ji Hyun Yang, Kookmin University, Korea
  • Chen-Hsiang Yu, Wentworth Institute of Technology, USA
  • Maryam Zahabi, North Carolina State University, USA
  • Zeno Zhang, DENSO International America Inc., USA