For Authors

Welcome to AutomotiveUI 2024

AutomotiveUI is the premier forum for human factors and UI/UX research in the automotive/mobility domain. AutomotiveUI brings together researchers and practitioners interested in technical and human aspects of vehicular user interfaces and applications. 

AutomotiveUI is seeking contributions that address topics like novel vehicle user interfaces, models of and concepts for enhancing the driver experience, performance and behavior, and state-of-the-art vehicle technology and automated driving systems. In 2024, we will put a special focus on works in the area of replication studies or data set papers.

AutomotiveUI 2024 invites you to submit original work in one or more of the following formats: Full papers, Work in progress, Workshops, Tutorials, Videos, Demos, and Doctoral colloquium. Submissions for all tracks will be available through the PCS conference management system (link coming soon). 

Are you interested in reviewing for AutomotiveUI? Step into the driver’s seat of the decision-making aspects! We are seeking reviewers and Associate Chairs for AutomotiveUI 2024. Join us using this link:

Important Dates

Submission Deadlines
  • Full Papers Abstract: April 10, 2024
  • Full Papers: April 17, 2024
  • Work in Progress: June 19, 2024
  • Workshops: June 14, 2024
  • Video Demos: June 12, 2024
  • Doctoral Colloquium: July 3, 2024

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

Submission Types


AutomotiveUI Papers are archival publications of original research. Authors are invited to submit papers formatted in accordance with the new single-column ACM SIGCHI format. All accepted papers will be included in the conference proceedings which will be archived in the ACM digital library. Authors of accepted papers will present their contribution at the virtual event. 

Read more


A workshop is a meeting to address a topic or method of common interest to a selective group of AutomotiveUI attendees. Typically, there is a focus on contemporary challenges. For example, previous workshops have addressed natural user interfaces, situational awareness, trust in automated driving, and the use of virtual and augmented reality in vehicle studies.


The DC brings together PhD students working on topics related to automotive user interfaces and interactive vehicular applications, providing them with an opportunity to present and discuss their research with their peers and senior faculty. It will further provide opportunities for PhD students to network and facilitate professional development by sharing research interests.


A Work in Progress (WiP) is a concise report of late-breaking findings or other types of innovative or thought-provoking work relevant for the AutomotiveUI community. It represents work that either has not reached a 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 make a contribution to the body of AutomotiveUI knowledge, whether realized or promised. 


Video Demo submissions are short motion presentations that showcase examples best communicated in this format or provide supplementary content to another submission (e.g. a paper). Video demos can, but are not restricted to present your  study design, data collection design, progress over time, study results, research projects, design concepts and visions of the future.

Conference Topics
The following provides a non-exhaustive list of conference topics.

Sustainable Development

  • (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 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, 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)


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


  • 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) 


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.


  • 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 though, behavior, and experience