Conference Goals

AutomotiveUI (or AutoUI), the International 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’16 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.  The overarching goal is to support the development of interfaces that are safe, easy to use, useful, and desired by users.

Specifically, the conference goals are:

  1. To provide a forum for the exchange of technical information concerning research (and practice) and educational activities for motor vehicle user interface development. This is accomplished through papers, workshops, tutorials, demonstrations, work-in-progress presentations, and face-to-face meetings.
  2. To provide opportunities for building personal connections with colleagues and potential sponsors of that research.

Topics

AutomotiveUI’16 invites you to submit original work in one or more of the following formats: full papers, workshops, work in progress and doctorial colloquia.  Submissions that include theoretically-based, quantitative predictions of experimental outcomes as well as validation of those outcomes, are particularly encouraged.

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

Automation & Instrumentation

  • Automated Driving and Interfaces for (semi-) autonomous driving
  • Head-Up Displays (HUDs) and Augmented Reality (AR) concepts
  • Co-operative Driving/Connected Vehicles
  • Assistive technology in the vehicular context
  • Information access (search, browsing, etc.)
  • Vehicle-based apps, web/cloud enabled connectivity

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