Description:
While autonomous vehicles have the potential to greatly improve our daily lives, there are also challenges and potential downsides to these systems. In this workshop, we intend to foster discussions about the potential negative aspects of autonomous cars, in hopes of surfacing challenges that should be considered during the design process rather than after deployment. We will spur these conversations through short talks and through group discussion facilitated by a card game called "What Could Go Wrong?'' Our goal is to consider the autonomous vehicle's benefits---improving safety, increasing mobility, reducing emissions---against potential drawbacks. By identifying potential harms and downsides, the workshop attendees and the AutoUI community more broadly can design more complete and well-considered solutions.

Workshop Website :
https://augmented-design-capability-studio.github.io/what-could-go-wrong/

Description:
The usability of human-machine-interfaces (HMIs) for automated driving systems (ADS) gains importance with the imminent introduction of SAE L3 automated vehicles. Assuming global proliferation of automated vehicles, a common understanding of usability for ADS HMIs and its application in research and industry is indispensable. In reference to ISO 9241-11, this virtual workshop aims to identify potential differences in the understanding and the resulting assessment of usability. The international audience of the Automotive-UI poses an ideal setting for this purpose by bringing together academics and practitioners in the domain of automotive user-interfaces. The experimental design for an international usability study serves as an illustrative case example for the discussion. Participants learn about methods, challenges and current research on international evaluations of automotive user interfaces. The workshop’s goal is to jointly derive a consensus for the theoretical and practical interpretation of the term usability in the context of HMIs for automated driving.

Description:
As automated systems continue to be integrated in everyday vehicles, drivers have an opportunity to engage in non-driving related tasks (NDRTs) while the automation is responsible for the driving task. However, current research on NDRTs is limited and has not explored the use of virtual reality (VR) in an automated vehicle. To understand how this technology may be implemented in this environment, it is critical to investigate related constructs like situation awareness, perceived risk, or presence. However, current measures for these constructs are not suitable for use in VR. This workshop aims to address this gap bringing together researchers to begin the development of new measures for these constructs. Creating new measures is the first step toward effectively and accurately assessing the use of VR in the automated vehicle context.

Description:
A worldwide pandemic has brought many challenges in numerous areas of everyone’s life. The AutomotiveUI 2020 has also been moved to a virtual conference. Although the situation seems to be improving in some parts of the world, the impacts that the pandemic has brought to the research and academia may last long even after the pandemic is over. In the automotive UI community, there is more than one aspect that should be taken into consideration. Ironically, the situation brought about both risks and opportunities including research methods, collaboration, interaction manners, and diversity and inclusion. With this background, the goal of this workshop is to discuss the impact of the COVID19 pandemic on the automotive UI community from the perspective of the diversity and inclusion and to discuss the direction of collaborative activities of our community with researchers from various groups. We will organize two 1-hour sessions across both days in one time zone. The workshop schedule will begin with an introduction to the topics. On the second day, a brief summary of the discussion of the previous day will be also presented. Some guest speakers from different backgrounds will be invited to present topics of interest. They will provide presentations with the PechaKucha style. After the invited presentations, a group discussion will be conducted to discuss the research questions. We will designate one or two topics to discuss for each group.

Workshop Website :
https://sites.google.com/view/autoui20-workshop/home

Description:
Driver performance and behavior can be partially predicated based on one’s emotional state. Through ascertaining the emotional state of passengers and employing various mitigation strategies, empathic cars can show potential in improving user experience and driving performance. Challenges remain in the implementation of such strategies, as individual differences play a large role in mediating the effect of affective intervention. Therefore, we propose a workshop that aims to bring together researchers and practitioners interested in affective interfaces and in-vehicle technologies as a forum for the development of targeted emotion intervention methods. During the workshop, we will focus on a common set of use cases and generate approaches that can suit different user groups. By the end of this short workshop, researchers will determine ideal intervention methods for prospective user groups. This will be achieved through the method of insight combination to generate and discuss ideas.