There are more types of vehicles than the automobile. Many are used for purposes other than transporting passengers or goods. They are often dedicated to enable the user in performing specific manual tasks, in parallel to driving. Such heavy vehicles range from construction vehicles, such as excavators and articulated haulers, to agriculture vehicles, such as tractors and harvesters. They also include speciality vehicles such as lifts and cranes. Recent advances in information technology radically increases their productivity and safety. Moreover, heavy vehicles are increasingly sensor and software-driven, as well as connected and integrated with information systems. This development creates new interaction challenges and research areas. The aim of this workshop is to gather practitioners, researchers, and professionals who wish to explore the potential opportunities, identify research challenges, and innovate in the domain of heavy vehicles doing work.
Website
https://heavyvehicle-ui.wixsite.com/1st-workshop
Organizers
Markus Wallmyr, Mälardalen University, CrossControl
Lewis L Chuang, LMU Munich
Taufik Akbar Sitompul, Mälardalen University, CrossControl
AutoUI conference is the premier forum for user interface research in the automotive domain, annually bringing together over 200 researchers and practitioners interested in both the technical and the human aspects of in-vehicle user interfaces and applications. However, over 80% of its published papers come from only five countries from western Europe and USA. Considering the importance and valuable impact this conference has on the research and development of HMI and automated systems in recent years, it raises the need for greater diversity and inclusion of researchers and practitioners from other continents. The goal of this workshop is to bring together researchers, practitioners, experts, and students from different research background, influenced by or influencing the automotive domain, and discuss the cross-cultural differences in driving behaviors and infrastructure, which is an essential prerequisite for future vehicle systems and driving safety.
Website
https://sites.google.com/view/autoui19-workshop
Organizers
Seul Chan Lee, Virginia Tech
Kristina Stojmenova, University of Ljubljana
Jaka Sodnik, University of Ljubljana
Linda Boyle, University of Washington
Shan Bao, University of Michigan Transportation Institute
Ronald Schroeter, Queensland University of Technology
JaeKon Shin, Korea Automobile Testing & Research Institute
Myounghoon Jeon, Virginia Tech
Properly calibrated trust in automation is a key issue for a successful implementation of automated vehicle technology. Recent research and investigation of accidents involving automated driving systems have shown that drivers have difficulties adjusting their trust levels appropriately with system performance criteria, which is a key requirement for trust calibration. Whereas previous editions of this workshop have concentrated on suitable definitions, measurements, and factors influencing trust, this year’s edition shifts the focus to the question: How does trust interact with and influence other latent constructs, such as risk behavior, situation awareness, or users’ willingness to engage in non-driving related tasks? The workshop thereby welcomes both experts and young researchers who (already are or want to) conduct research in this timely area, with the aim of developing concrete research programs and experimental designs, that close existing knowledge gaps and allow further progress in the domain of trust calibration.
Website
http://www.automationtrust.net/
Organizers
Brittany Holthausen, Georgia Institute of Technology
Phillip Wintersberger, Technische Hochschule Ingolstadt
Zoe M Becerra, Georgia Institute of Technology
Alexander G. Mirnig, University of Salzburg
Alexander Kunze, Loughborough University
Bruce N. Walker, Georgia Institute of Technology
With the increasing development of Augmented reality (AR), the number of its purposes and applications in vehicles rises. Augmented reality may help to increase road safety, support more immersive (non-) driving related activities, and finally enhance driving experience. AR may also be the enabling technology to increase trust and acceptance in automated vehicles and therefore help on the transition towards automated driving. However, there are still a number of challenges with the use of augmented reality when applied in vehicles, and also several human factors issues need to be solved. Additionally, virtual reality (VR) has the potential to simulate AR applications for HCI research. In this workshop, we will discuss potential and constraints as well as impact, role, and adequacy of AR and VR (mixed reality, MR) in driving applications and simulations. The primary goal of this workshop is to define a research agenda for the use of MR in intelligent vehicles within the next 3 to 5 years.
Website
http://www.andreasriener.com/AutoUI19WS_MRV/
Organizers
Andreas Riegler, University of Applied Sciences Upper Austria
Andreas Riener, Technische Hochschule Ingolstadt
Andrew L Kun, University of New Hampshire
Joseph L Gabbard, Virginia Tech
Stephen Brewster, University of Glasgow
Carolin Wienrich, University of Würzburg
Automation is increasingly gaining traction not only for individual but public transportation, especially in the last-mile sector. With no human driver at the helm, there is a need for adequate interaction replacements for passenger- and roadside information – not only as the bus is already in transit but before and during boarding as well. This workshop is intended to address these needs by exploring this design space in a hands-on setting. The expected outcome of the workshop is a set of interaction scenarios, design concepts and future challenges. These should serve as a basis for ongoing research and development for the field.
Website
http://www.uipub2019.tech-experience.at
Organizers
Peter Fröhlich, AIT Austrian Institute of Technology
Matthias Baldauf, FHS St. Gallen
Alexander G. Mirnig, University of Salzburg
With the increasing use of automation, users tend to delegate more and more tasks to the machines. Complex systems are usually developed with an Artificial Intelligence (AI) and can embed different kinds of models and algorithms including Machine Learning and Deep Learning, which make these systems difficult to understand for the user. This assumption is particularly true in the field of automated driving since the level of automation is increasing. We believe it is important to investigate the field of Explainable AI (XAI) in the context of automated and autonomous driving since interpretability and transparency are key factors for increasing trust and security. In particular, we aim at gathering researchers, industry practitioners from different fields in order to brainstorm about XAI focusing on the perspective of human interaction since it has not been sufficiently studied in existing explainable approaches. Questions like “what kind of explanation do we need”, “which is the best trade-off between performance and explainability we want to achieve” and “how granular should the explanations be” will be addressed in this workshop.
Website
https://sites.google.com/view/explainableai-autoui19/
Organizers
Quentin Meteier, University of Applied Sciences and Arts of Western Switzerland, Fribourg
Marine Capallera, University of Applied Sciences and Arts of Western Switzerland, Fribourg
Leonardo Angelini, University of Applied Sciences and Arts of Western Switzerland, Fribourg
Elena Mugellini, University of Applied Sciences and Arts of Western Switzerland, Fribourg
Stefano Carrino, University of Applied Sciences and Arts of Western Switzerland, Neuchâtel
Emmanuel de Salis, University of Applied Sciences and Arts of Western Switzerland, Neuchâtel
Stéphane Galland, Université de Technologie de Belfort-Montbéliard
Susanne Boll, University of Oldenburg
Driver assistance system development commonly targets a substitution of driver responsibilities.
Such a substitutive approach which ignores the potential of utilizing available human resources has at least two downsides:
1. The human mind has not evolved to stay idle such that people tend to engage in secondary tasks and disengage from the driving task when not needed, causing out-of-the-loop effects.
2. People have strengths in domains that have not yet been mastered artificially (e.g. situation understanding, communication, multimodal integration, creative problem solving) and which could substantially improve human-machine systems.
This workshop will focus on a different approach that emphasizes on strengthening the link between vehicle and driver.
Guided by the term "the embodied vehicle" we will introduce, draft, and discuss options for achieving a closer human-vehicle integration and try to identify possible consequences and implications of the developed approaches.
The workshop aims to connect practitioners, researchers, and professionals who wish to learn about, contribute to and further explore this perspective on technology and interface development.
Website
https://ubicomp.net/wp/the-embodied-vehicle/
Organizers
Matti Krüger, Honda Research Institute Europe GmbH
Lewis L Chuang, LMU Munich
Bruce N. Walker, Georgia Institute of Technology
Tobias Benz, Singapore Management University
Nataliya Kosmyna, MIT Media Lab
Automated vehicles will allow users to engage in non-driving activities related to work and well-being. This workshop will explore a number of questions related to human-computer interaction in vehicles with the ultimate goal of allowing users to be productive in automated vehicles, as well as to engage in activities that successfully increase their well-being. Additionally, the organizers will pilot a novel format for hybrid engagement of participants, which will include online activities before and after the workshop, as well as in-person activities at the workshop.
Website
http://cs.wellesley.edu/~mobileoffice/autoui
Organizers
Andrew L Kun, University of New Hampshire
Orit Shaer, Wellesley College
Andreas Riener, Technische Hochschule Ingolstadt
Stephen Brewster, University of Glasgow
Clemens Schartmüller, Technische Hochschule Ingolstadt, Johannes Kepler University
In automated vehicles, drivers will switch between side activities and tasks relevant for vehicle control. As random interruptions lead to performance degradation and are a source of stress/anxiety, pervasive attentive user interfaces may be able to mitigate such effects while maintaining comfort and safety. However, to be able to develop sophisticated solutions, a more structured and holistic approach is needed. This workshop brings researchers and practitioners together to develop a structured research agenda to determine how attentive user interfaces can support the safe engagement in side activities in automated vehicles. After an open discussion will identify the main research questions, groups will model/prototype interactions using a configurable driving simulator provided by the organizers. Results will be published at the workshop website and should lead to scientific publications and collaborations.
Website
https://attentiveui.jimdosite.com/
Organizers
Philipp Wintersberger, Technische Hochschule Ingolstadt
Remo van der Heiden, Utrecht University
Shadan Sadeghian Borojeni, University of Siegen
Clemens Schartmüller, Technische Hochschule Ingolstadt
Paul Green, University of Michigan Transportation Research Institute
Andreas Riener, Technische Hochschule Ingolstadt
With autonomous driving on the horizon, new research challenges appeared and subsequently, new methods and research instruments became necessary. To adapt to these emerging research questions, driving simulators, the cornerstone of automotive human factors research, have been tweaked, modified or developed from scratch. This one- day workshop invites academics and practitioners to re- port, demo or discuss their solutions for simulating the next wave of automotive interaction research. The goal of this workshop is twofold: (1) we provide a forum for researchers concerned with simulator software and discuss opportunities for a future collaboration platform for sharing and co-develop simulator software. (2) We collect and discus the needs, expectations and solutions of the automotive UI community to articulating a road map for the developing future driving simulators setups.
Website
https://sites.google.com/view/simultorshowdown
Organizers
Sven Krome, Uber ATG
Eric Deng, Uber ATG
David Goedicke, Cornell Tech
Wendy Ju, Cornell Tech
Ignacio Alvarez, Intel Labs
Jaka Sodnik, University of Ljubljana
Andrew Veit, University of Iowa
Francesco Grani, HERE Technologies
Interactions between autonomous vehicles (AV) and pedes- trians remain an ongoing area of research within the AutoUI community and beyond. Given the challenge of conducting studies to understand and prototype these interactions, we propose a combined full-day workshop and tutorial on how to conduct field experiments and controlled experiments using Wizard-of-Oz protocols. We will discuss strengths and weaknesses of these approaches based on practical experiences and describe challenges we have faced. After diving into the intricacies of different experiment designs, we will encourage participants to engage in hands-on exercises that will explore new ways to answer future research questions.
Website
https://ixd.stanford.edu/autoui19wizardsofwoz
Organizers
Dylan James Moore, Stanford University
Rebecca Currano, Stanford University
David Sirkin, Stanford University
Azra Habibovic, RISE Research Institutes of Sweden
Jonas Andersson, RISE Research Institutes of Sweden
Victor Malmsten Lundgren, RISE Research Institutes of Sweden
Maria Klingegård, RISE Research Institutes of Sweden
Debargha Dey, Eindhoven University of Technology
Kai Hollaender, LMU Munich