Motivation

The increasing success of researchers within the field of autonomous cars means there is now the option to provide advanced services in cars while the vehicle is under fully automated or semi-automated control. It is widely predicted that automated driving will become more widespread in the near future. Numerous research organizations and major companies have developed working autonomous vehicle prototypes. Especially Goolge’s driverless car has gained public attention recently. Also the human-robots-interaction community has investigated autonomous cars as autonomous robots. Based on the first workshop on user experience and autonomous driving from last year’s Automotive UI conference and recent developments the workshop will cover issues such as level of automation, visualization of uncertainty in autonomous cars, automated vehicles in the wild, the transition phase from manually driven cars to autonomous vehicles, and driving fun and entertainment in future cars.

The workshop aims at collecting radical, innovative, versatile and engaging works that challenge or re-imagine human interactions in future automated driving scenarios. It will seek to challenge existing thinking by exploring what is possible both now and by the time the autonomous vehicle is a standard feature of our roads. Participants will be encouraged to suggest alternative concepts whether low fidelity, high fidelity, or both. Especially encouraged will be works that are experiential and can be demonstrated hands on. The workshop will be an opportunity to re-shape the conversation of automobile technology by introducing the community to a new way of thinking. Topic areas of potential interest (not exhaustive) include:

  • Driver and passenger interaction with (semi-) autonomous vehicles
  • Handover situations between drivers and automated cars
  • User experience factors relevant for autonomous driving (e.g., acceptance, trust and driving fun)
  • Novel user interface approaches including natural and gaze interaction, subliminal information, and brain computer interfaces
  • Driver information displays and how they differ from non-autonomous modes
  • Experience studies in the lab and in the field with autonomous vehicles
  • Study and evaluation methods for autonomous driving
  • Entertainment for drivers and passengers in autonomous cars, as well as gamification approaches
  • Ethical issues of autonomous driving