On this page, we will publish the material for the CHI 2022 course “Automated Vehicles as a Space for Work & Wellbeing”.

The objective of this CHI course is to provide CHI attendees with an introduction and overview of the rapidly evolving field of automotive user interfaces (AutomotiveUI). The course will focus on UI aspects in the transition towards automated driving. In particular, we will also discuss the opportunities of cars as a new space for non-driving-related activities, such as work, relaxation, and play. For newcomers and experts of other HCI fields, we will present the special properties of this field of HCI and provide an overview of new opportunities, but also general design and evaluation aspects of novel automotive user interfaces.

When?This course is co-located with the hybrid ACM CHI ’22 conference and runs over 2 units of 75 minutes.
Day: Tuesday, April 19, 2022
Time: 17-20 (CEST) / 11-14 (EDT) / 10-13 (CDT)
Course page in the CHI program
Where?This course will be held in a virtual format on zoom.
How to participate?Please select our course while registering for CHI 2022.

If you are adding a course to your existing CHI registration, please re-open the registration page.
  1. Scroll towards the bottom and click on the “Already Registered” button.Enter your email address and confirmation code – found in your confirmation email.Click “Login” to proceed, then select “Modify Registration” towards the bottom on the next page.Proceed through your registration (“Next” until the Optional Items page) to add your course.Select your course from the list and click “Next” at the bottom.Follow through to complete the addition by making a payment and clicking “Finish”.
Intended audienceWe target a broad audience including AutomotiveUI novices (students, industrial / academic researchers), but also researchers, practitioners, & designers with experiences in creating Automotive User Interfaces. With driving automation, we see the car as a novel platform for interactive systems, which is interesting for attendees of a variety of backgrounds.
Presentation formatWe present this course as an interactive course with slides, videos, and group discussions. We successfully used this format for AutomotiveUI courses at CHI ’21, CHI ’16 and CHI ’17, MobileHCI ’17, MUM ’18, and Mensch & Computer ’15. By applying active leaning methods, we strive to adapt the materials to the specific (existing) knowledge and interests of the audience.
PrerequisitesThe expected audience should have a basic knowledge of HCI. This could be a previously attended course or a basic university lecture or experiences from prior projects in this domain. There are no additional prerequisites.
InstructorsBastian Pfleging (TU Bergakademie Freiberg) Personal website
Andrew L. Kun (University of New Hampshire)
Orit Shaer (Wellesley College)
Course Details

Course Content

The objective of this CHI course is to provide attendees with an introduction and overview of the rapidly evolving field of automotive user interfaces (AutomotiveUI). The course will focus on UI aspects in the transition towards automated driving. In particular, we will discuss the opportunities of cars as a new space for non-driving-related activities,

We will begin with an overall introduction to AutomotiveUI. This includes a discussion of important terms, such as driving task, driver distraction, vehicle systems, and automation levels, as well as current challenges and expected trends with regard to AutomotiveUI and the more general topic of human mobility.

In the second part of the course, we will provide an overview of guidelines and requirements for the design of in-car systems, including principles, guidelines, and standards. Our discussion of non-driving related tasks within the context of cars and human mobility, will be followed by an interactive hands-on design exercise.

The course will be taught over Zoom and will include hands-on work and small group discussion. We look forward to an engaging exchange of ideas!

Topics covered:

  • AutomotiveUI – motivation, terminology
  • Automated driving – motivation, terminology
  • Driving tasks in manual and automated driving
  • Driver distraction
  • Automated vs. Autonomous Vehicles
  • Input/output modalities
  • Best practices in designing automotive ui – guidelines, principles, standards
  • Automotive UI research and evaluation