Car HMI USA is an award-winning international knowledge exchange platform bringing together all stakeholders leading the technical and design future of automotive HMIs and UX. For the 6th time in 2020, during 2 1/2 days you will get the unique chance to engage with your OEM, T1 & Supplier peers to discuss innovative opportunities as well as challenges in HMI and UX development that lie ahead in the industry. The event provides you with precise insights into new business use cases, concepts, technical challenges and innovations while offering you the chance to discuss specific roadmaps for autonomous vehicles, MaaS, robo taxis, car sharing and under the motto “Intuitive Vehicles + Next Generation UX + HMIs”
Today, we would like to share some insights with an exclusive on-demand video from this year “from Home” version:
Measuring and Computing Distraction and Ease of Use by Paul Green
Research Professor & Leader Driver Interface Group.
The purpose of this session is to review how distraction and ease of use are measured and to describe how distraction and ease of use can be computed. The underlying theme of the presentation is that although tests involving human subjects should be conducted to verify that an HMI is easy to use and not distracting, that the primary method to assess such should be computational (predictive modeling).
- What are distraction and ease of use?
- What does NHTSA require in the guidelines to measure distraction?
- How can SAE J2365 be used to estimate if an HMI is easy to use?
- How can Pettitt’s methods and Purucker’s method be used to estimate compliance with the NHTSA guidelines?