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All deadlines are AoE (anywhere on earth) on the date shown.<\/p>\n<\/div>\n<\/div>\n
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 <\/span>Precision Conference Submission system<\/span><\/a>. All accepted papers will be included in the conference proceedings which will be archived in the ACM Digital Library. For accepted papers, <\/span>at least one author is required to register for the conference and present the work.\u00a0<\/strong><\/p>\n We look forward to your submissions!<\/span><\/p>\n<\/p>\n Alexander Mirnig, Xiaomeng Li, and Huei-Yen Winnie Chen<\/b> Technical Program Chairs<\/span><\/p>\n papers@auto-ui.org<\/strong><\/p>\n<\/div>\n Full Papers Associate Chairs & Reviewers at\u00a0AutomotiveUI 2025<\/strong><\/p>\n<\/p>\n Are you interested in reviewing for AutomotiveUI? Step into the driver\u2019s seat of the decision-making aspects! We are seeking reviewers and associate chairs <\/strong>for AutomotiveUI 2025. Join us using this link: https:\/\/forms.gle\/RaTguwmJqXRnjUGZ7<\/a><\/strong><\/p>\n<\/div>\n<\/div>\n Thank you for considering to submit to the papers track of AutomotiveUI 2025.<\/p>\n The papers track is meant for your best, original scientific work that is not published elsewhere.\u00a0<\/span><\/p>\n If you are new to the community, we encourage you to explore the AutomotiveUI <\/span>proceedings<\/span><\/a> (incl. papers track) and <\/span>adjunct proceedings<\/span><\/a> (incl. the other tracks) of previous conferences (see the top of the page). Note that the formatting of papers has recently changed.<\/span><\/p>\n Selection criterion is scientific excellence:<\/strong><\/b> 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!<\/span><\/p>\n Paper length:<\/strong><\/b> The length should be proportional to the contribution, with a maximum of 13 pages. More details are provided below under \u201cfurther details\u201d.\u00a0<\/span><\/p>\n Desk-rejects and Quick Rejects:<\/strong><\/b> 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 we, therefore, follow a process in which there is an opportunity for desk-rejects and quick rejects. The procedures are explained below under \u201cfurther details\u201d.<\/span><\/p>\n Thematic subcommittees:<\/strong><\/b> In order to handle the increasing number of submissions and maintain a high-quality review process, the Automotive UI \u201925 organizing team will establish thematic subcommittees, similar to ACM CHI but on a smaller scale to suit the scope of Automotive UI. There will be 3-4 subcommittees and each subcommittee will be led by one subcommittee chair. Experienced senior members of the Automotive UI community will fill the subcommittee chair roles. The subcommittees and its chairs will be made public after the full paper submission has passed.<\/span><\/p>\n<\/p>\n Alexander Mirnig, Xiaomeng Li, and Huei-Yen Winnie Chen<\/b><\/b><\/p>\n Technical Program Chairs<\/span><\/p>\n papers(Replace this parenthesis with the @ sign)auto-ui.org<\/span><\/p>\n<\/div>\n Intended contributions<\/b><\/p>\n 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:<\/span><\/p>\n Topics<\/strong><\/p>\n Topics can be used to allocate your paper to an AC or reviewer with knowledge in that area.<\/span><\/p>\n At this year’s AutoUI we are particularly interested in submissions in these categories:<\/span><\/p>\n DEVICES & INTERFACES<\/strong><\/p>\n AUTOMATION & INSTRUMENTATION<\/strong><\/p>\n INTERACTION ACROSS THE AUTOMATION SPECTRUM<\/strong><\/p>\n We explicitly invite and encourage submissions targeting a wide scope of automated mobility solutions. Papers discussing relevant challenges and proposing solutions for low automation levels (SAE levels 1 and 2) are just as welcome as papers discussing control transitions for SAE level 3 systems, or aspects of uncrewed drone operations, remote management, or any other relevant higher-automation challenge.\u00a0<\/span><\/p>\n<\/p>\n SUSTAINABLE, PUBLIC, AND MICRO MOBILITY<\/strong><\/p>\n Proposals for mobility solutions outside the \u201cstandard\u201d spectrum of interaction solution for powered individual mobility means (automated or non-automated). This category includes both environmental and social aspects subtopics such as:<\/span><\/p>\n ACCESSIBILITY & VARIETY OF USERS<\/strong><\/p>\n ETHICS, HUMAN AND HUMANE EXPERIENCES<\/strong><\/p>\n 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:<\/span><\/p>\n NOVEL INTERFACES AND ARTIFACTS<\/strong><\/p>\n MODELING, SIMULATION, PREDICTION AND COMPUTATIONAL METHODS<\/strong><\/p>\n Areas where the field of \u201ccomputational interaction\u201d (see subcommittee description for CHI) intersects with AutomotiveUI<\/span><\/p>\n 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<\/span><\/p>\n RADICAL, ALTERNATIVE, THOUGHT-PROVOKING PERSPECTIVES<\/strong><\/p>\n We encourage submissions that take a radically different (\u201cout of the box\u201d) 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 \u201cAlt-CHI\u201d (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 \u201ctypical\u201d AutomotiveUI paper.<\/span><\/p>\n EVALUATION & BENCHMARKING<\/strong><\/p>\n DRIVER PERFORMANCE, BEHAVIOR & EXPERIENCE<\/strong><\/p>\n
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INTENDED CONTRIBUTIONS AND TOPICS<\/h3>\n
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