For Authors

Welcome to AutomotiveUI 2018

AutomotiveUI, the International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, is the premier forum for UI research in the automotive domain. AutomotiveUI brings together researchers and practitioners interested in both the technical and the human aspects of in-vehicle user interfaces and applications. Consistent with prior conferences, AutomotiveUI’18 will address novel in-vehicle services, models of and concepts for enhancing the driver experience, driver performance and behavior, development of (semi-) autonomous driving, and the needs of different user groups.

AutomotiveUI’18 invites you to submit original work in one or more of the following formats: papers, workshops & tutorials, works in progress and interactive demos, video sessions, and doctoral colloquium.

Message from the AutomotiveUI Program Chairs

AutomotiveUI Papers 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 are read and cited worldwide and have a broad impact on the development of theory, method, and practice in this domain.

Authors must present accepted Papers 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 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 will score highly on innovation, contribution, and quality of thought and writing. Submit your best work!

Bruce Walker and Peter Fröhlich
papers2018@auto-ui.org

Submission Types


Paper

AutomotiveUI Papers are archival publications of original research. Authors are invited to submit papers (6-10 pages) formatted in accordance with the two-column ACM SIGCHI format, with a 150-word abstract (references do not count towards the page limit). Submissions will be accepted through the Precision Conference Submission system. Authors are encouraged to submit an accompanying video. All accepted papers will be included in the conference proceedings which will be archived in the ACM digital library. Details about this submission category can be found at www.auto-ui.org/18/authors/papers

Contact: Bruce Walker and Peter Fröhlich
papers2018@auto-ui.org

Interactive Demos

Interactive Demos are presentations/demonstrations that highlight and foster discussion of current research and development in the area of automotive user interfaces and interactive vehicular applications. We encourage submissions from both the industry and the academia. For Interactive Demos, bring and/or present prototypes, services, devices, and systems for hands-on interaction. All accepted Demo submissions will be available in the ACM digital library. Submission details will be published at auto-ui.org/18/authors/interactive-demos

Contact: Ignacio Alvarez and Ioannis Politis
demos2018@auto-ui.org

Work in Progress

A Work-in-Progress is a concise report of late-breaking findings or other types of innovative or thought-provoking work relevant for the AutomotiveUI community. All accepted WIP submissions will be available in the ACM digital library. Submission details will be published at www.auto-ui.org/18/authors/work-in-progress

Contact: Winnie Chen and Ronald Schroeter
wip2018@auto-ui.org

Workshops & Tutorials

Workshops address some topic of common interest to a subset of those attending the AutomotiveUI conference. Tutorials teach specific materials either by one person or several people. Submission details will be published at www.auto-ui.org/18/authors/workshops-tutorials

Contact: Andrew L. Kun and Lewis Chuang
workshops2018@auto-ui.org

Doctoral Colloquium

The Doctoral Colloquium brings together Ph.D. students working on topics related to the field of automotive user interfaces and interactive vehicular applications, providing them with an opportunity to present and discuss their research with their peers and senior faculty. Submission details will be published at www.auto-ui.org/18/authors/dc

Contact: Linda Boyle and Andreas Riener
doctoral2018@auto-ui.org

Videos

AutomotiveUI also invites video submissions. Submission details will be published at www.auto-ui.org/18/videos

Contact: Jing Feng and Philart Jeon
videos2018@auto-ui.org

Conference Topics
include, but are not limited to:


Devices & Interfaces

  • Multi-modal, speech, audio, gestural, 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

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

  • Different user groups and user group characteristics
  • Subliminal cues, warnings and feedback to augment driving behavior
  • Emotional state recognition while driving
  • Detecting/ measuring driver distraction
  • Detecting and estimating user intentions
  • Driver modeling