This workshop addresses key trust-related issues in the context of automated driving and aims at establishing a common ground for future research. Building on the outcome of the previous workshop at AutoUI 2017, three main aspects are targeted within interactive sessions: (1) Formulation of a comprehensive set of definitions for trust in automated systems; (2) Development of interface approaches for mitigating overtrust and undertrust issues; (3) Identification of an appropriate timing of trust-related cues. Thereby, the current research efforts of both workshop organizers and participants are used as a starting point for several breakout sessions, each addressing one of the three main workshop goals. The outcome of this workshop will provide a benchmark for future work in the field and is also intended to inspire joint publications among the participants.

Augmented reality (AR) has the potential to improve road safety, support more immersive (non-) driving related activities, and finally enhance driving experience. AR may also be the enabling technology to help on the transition towards automated driving. However, augmented reality still faces a number of technical challenges when applied in vehicles, and also several human factors issues need to be solved. In this workshop, we will discuss potential and constraints as well as impact, role, and adequacy of AR in driving applications. The primary goal of this workshop is to define a research agenda for the use of AR in intelligent vehicles within the next 3 to 5 years.

Automated driving systems (ADS), especially in higher levels of automation, seem to be the new focus of innovation regarding future mobility. Technological achievements of traveling automation open up new challenges for road traffic. Existing automotive research focuses on problem solving and observational approaches including users and their imagination of the future of mobility to analyze acceptance and user experience of “incremental” (step-wised improved) innovations. On the other hand, “radical” (something new, enabled by technology or meaning change) innovations extensively increase product quality leaping over incremental innovation. This workshop aims to challenge the current research approaches to automated driving against “trying to improve sitting in a horse carriage” and discuss how we can design “radical” innovations for ADS beyond the “horse carriage'”. Within this interactive workshop, we will utilize a design thinking approach to refocus on underlying problems that ADSs originally aim to solve and generate ideas for radical innovations.

Highly automated vehicles require users to take over control when they reach the limits of the automation. These control transitions can lead to hazardous accidents if the human and automation do not have a consistent mental model of the abilities, authorities, and responsibilities of each other. In this workshop, we aim to apply existing knowledge to identify issues in control transitions in co-operative human-machine systems and propose solutions for them.
Concrete focus points concern controllability, driving mode awareness, interaction design problems such as conveying the state of driver, automation, and vehicle, and evaluation methods.

Methods and metrics for studying interactions between automated vehicles and other road users in their vicinity, such as pedestrians, cyclists and non-automated vehicles, are not established yet. This workshop focuses on identifying the strengths and weaknesses of various methodologies that could potentially be used to study such interactions. The objective lies in determining the proper experimental design, sensitivity of metrics for measuring user behavior, ecological validity, generalizability of findings, extraction of insights regarding how findings can be translated into actionable requirements, and the alternatives for conducting longitudinal field studies. It will be of an interactive nature and involve hands-on activities. The workshop will consolidate existing knowledge, identify recurring issues, and explore the path towards resolving these issues. The outcome will be compiled into a paper to share this valuable knowledge with a broader research community.

As a promising cognitive construct, situation awareness (SA) helps to assess operators’ dynamic knowledge of the driving task in different contexts as well as to inspire driving assistance system design. This workshop will discuss SA in an automotive context, emphasizing the increasing challenges that are related to vehicle automation. We will begin with an understanding of SA and SA information needs. Next, we will explore how to apply SA concepts to the design of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) user interfaces. Finally, we will discuss several useful SA measures, using exercises to demonstrate the value of some example measures.

This workshop discusses the balance between safety and productivity as automated vehicles turn into ‘mobile offices’: spaces where non-driving activities are performed during one’s daily commute. Technological developments reduce the active role of the human driver that might, nonetheless, require occasional intervention. To what extent are drivers allowed to dedicate resources to non-driving work-related activities? To address this critical question, the workshop brings together a diverse community of researchers and practitioners that are interested in questions as follows: what non-driving activities are likely to be performed on one’s way to work and back; what is a useful taxonomy of these tasks; how can various tasks be studied in experimental settings; and, what are the criteria to assess human performance in automated vehicles. To foster further dialogue, the outcome of the workshop will be an online blog where attendees can contribute their own thoughts: https://medium.com/the-mobile-office.

In-car emotion detection and regulation have become an emerging and important branch of research within the automotive domain. Different emotional states can greatly influence human driving performance and user experience both in manual and automated driving conditions. The monitoring and regulation of relevant emotional states is therefore important to avoid critical driving scenarios with the human driver being in charge, and to ensure comfort and acceptance in autonomous driving. In this workshop we want to discuss the empathic user interface research to address challenges and opportunities and to reveal new research directions for future work. This workshop provides a forum for exchange and discussion on empathic user interfaces, including methods for emotion recognition and regulation, empathic automotive human-machine interaction design, user evaluation and measurements, and subsequent improvement of autonomous driving experience.

Mobility is transcending towards flexible sharing, combined transportation modes, increased vehicle automation and digital customer services. User experience and acceptance are highly important criteria for the success of such novel concepts, and consequently their human interface has to be designed with creativity and responsibility. This workshop addresses this need by providing a holistic frame for ideation and discussion of user interface concepts for public transport vehicles. The expected outcome of the workshop is a set of opportunities, design concepts and challenges. These could be the input for a research agenda for the field.

http://matthiasbaldauf.com/uipub/

Although the overall number of road accidents and fatalities decreases continually, the ratio of “vulnerable road users” (VRUs, such as pedestrians or cyclists) involved in fatal accidents still tends towards 33%, according to the OECD 2014 Road Safety Report. The aim of this half-day workshop is, therefore, to explore the topic of interaction between automated vehicles and vulnerable road users (VRUs), such as pedestrians or cyclists, in an interactive setting. The workshop is hands-on and aims at deriving knowledge about specific communication needs across various traffic scenarios resulting in metrics and methodologies for evaluating these needs by having the participants go through a brief design and evaluation process in a two-step setting. The workshop results will be collected and preserved on the workshop website post-workshop.

https://tinyurl.com/aui18AVCommWS