On this page, we will publish the material for the CHI 2020 course “Future Cars as a Space for Work & Play – Non-Driving-Related Tasks in the Transition to Automated Driving”.
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 was planned co-located with ACM CHI 2020. As CHI 2020 will not be held physically this year, we are evaluating how to run this course in a virtual manner. |
| Where? | Online / TBD |
| How to participate? | Once the date and time are known, we will inform you how to join. |
| Target Audience | We target a broad audience including AutomotiveUI novices (students, industrial / academic researchers), but also researchers, practitioners, & designers with experiences in creating AutomotiveUIs. With driving automation, we see the car as a novel platform for interactive systems, which is interesting for attendees of a variety of backgrounds. |
| Prerequisites | The expected attendees 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. |
| Instructors | Bastian Pfleging (Eindhoven University of Technology) Andrew L. Kun (University of New Hampshire) Orit Shaer (Wellesley College) |
Presentation Format
We present this course as an interactive course with slides, videos, and group discussions. We successfully used this format for AutomotiveUI courses at CHI ’16 and ’17, MobileHCI ’17, 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. We plan to have a 225 min course with an audience size of 30–40 participants.
Content & Practical Work
During the 3×75 min course we first provide an overall introduction to AutomotiveUI. This includes a discussion of important terms, such as driving task, driver distraction, vehicle systems, and automation levels. In this part, we also discuss the influence of in-vehicle activities on driving.
As part two, we provide an overview of best practices for the design of in-car systems, including principles, guide- lines, and standards. We take this as a basis to also give deeper insights into the design process of such interfaces, enriched with practical experiences from previous projects.
In the third part of the course, the participants learn how applications and interfaces can be evaluated during design. This includes the explanation of various evaluation mea- sures, different testing procedures (e.g., Lane Change Task, Detection Response Task, and field trials), and a variety of parameters related to designing studies.
For the fourth part, we elaborate the requirements and expected changes and opportunities for future automated driving situations. Also, based on Dagstuhl Seminars #16262 and #19132, this includes a discussion and hands-on session on the possibilities that arise when driving becomes highly or fully automated such as work, play, and relaxation.
As a concluding part, we outline current challenges and expected trends with regard to AutomotiveUI and the more general topic of human mobility.