Future HMI architecture / Cockpit architecture: diversification and common elements in current display & controls configuration

How to develop future display and controls / Head-Up Displays (HUDs) and Augmented Reality (AR) concepts

Flexible architectures that are able to manage unknown, future threats

Multi modal, speech, audio, gestural, natural input / output / & feedback systems

New interfaces for navigation / Text HMIs – input and output while driving / Sound in Product Design / Sound HMIs

Automated Driving and Interfaces for autonomous driving in Level 3 & 4

Head-Up Displays (HUDs) and Augmented Reality (AR) concepts

Co-operative Driving / Connected Vehicles / Cognitive vehicles & vehicle perception

Inter Conversational chatbots, personal assistants, personalization UX & Information access (search, browsing, etc.)

Modeling techniques for cognitive workload and visual demand estimation

Automation Systems: from operation to monitoring & from driver-to-driver interaction to vehicle-to-vehicle interaction / UI for an autonomous driving car

Subliminal cues, warnings, and feedback to augment driving behavior

Emotional state recognition while driving

Concepts and solutions to keep the driver in the loop and to increase user experience

Driver interaction with different stages of automation

HMIs vs. HBIs (Human Bot Interfaces) vs. BHI (Bot-Human Interfaces)

Is the automobile ready for AI – Machine Learning & Learning systems – what does that means for future car HMIs?

New NHTSA driver distraction guidelines

User adaptation for cloud based automotive speech interfaces – speech system architecture including on-board and off-board speech recognizers

Exploring the application of neuroscience to assess driver interactions, cognitive load and potential driver distraction and potential use of Consumer Neuroscience as a tool for designing and assessing the next generation of UX strategies