Conference Goals
AutomotiveUI, the International Conference on Automotive User Interfaces and Interactive Vehicular Applications, is the premier forum for UI research in the automotive domain. AutomotiveUI brings researchers and practitioners interested in both the technical and the human aspects of in-vehicle user interfaces and applications. AutomotiveUI'14 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.
Topics
AutomotiveUI‚ 2014 invites you to submit original work in one or more of the following formats: full and short papers, workshops, posters, interactive demonstrations and tutorials. Topics include, but are not limited to:
Devices & Interfaces
- Multi modal, speech, audio, gestural, natural I/O
- 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 and feedback to augment driving behavior
- Emotional state recognition while driving
- Detecting/measuring driver distraction
- Detecting and estimating user intentions
