Anika Boelhouwer

Human Machine Interaction

Human Factors and Engineering Psychology

Gamification

Serious Gaming

Anika Boelhouwer

Human Machine Interaction

Human Factors and Engineering Psychology

Gamification

Serious Gaming

I-CAVE: Supporting drivers in partially automated cars. (PhD)

  • Project host: I-CAVE & University of Twente, NL.

Commercial cars are increasingly equipped with automated functions to increase traffic safety and driver comfort. However, in order for these benefits to actually arise, the automation should be used appropriately. This requires drivers to have an accurate understanding of its functions, operation, capabilities and limitations.

During my PhD, my goal was to explore, develop and evaluate an in-car HMI to support drivers in understanding and appropriately using their car automation. I first explored how drivers are currently supported in learning about the automation in their car. I used several methods including nation-wide surveys, a literature review, an observation study and driving simulator studies. Ultimately, I developed an evaluated a Digital In-car Tutor (DIT) to support understanding and appropriate use of car automation through driving simulator studies.

Methods

  • Nation-wide survey
  • Literature and HMI review
  • Naturalistic observation study
  • Driving simulator study