The workshops and tutorials will take place on Sunday, September 24th and are listed below. The doctoral colloquium will take place on the same day as workshops and tutorials. However, only those invited to present or review presentations are permitted to attend the doctoral colloquium to encourage interaction and comply with room occupancy constraints.
Sunday, September 24, Morning Session 9AM – 1PM
- W1: Understanding Automation: Interfaces that facilitate user understanding of vehicle automation
- W3: Navigating Autonomous Cars: The Opportunities of HD Maps on User Experience
- W5: First Workshop on Trust in the Age of Automated Driving
- W6: Workshop on User-Centered Design for Automated Driving Systems
- T1: Tutorial How does your HMI Design affect the visual attention of the driver?
- Doctoral Colloquium: Morning Session (OFFIS, O100)
Sunday, September 24, Afternoon Session 2PM – 6PM
- W2: Human Machine Interaction in Autonomous Vehicles: the perspective of the two current HORIZON 2020 projects ADAS&ME and AUTOMATE
- W4: Control Transition Workshop: Handover and Takeover Procedures in Highly Automated Driving
- W7: ARV 2017: Workshop on Augmented Reality for Intelligent Vehicles
- T2: Driver Evaluation in a Compact Motion-Based Driving Simulator
- Doctoral Colloquium: Afternoon Session (OFFIS, O100)
Organizers: Lewis Chuang, Dietrich Manstetten, Susanne Boll, and Martin Baumann
Venue: OFFIS Room D21
This workshop addresses how in-vehicle interfaces could be designed to support human users in understanding the operations of highly automated vehicles (HAVs). Current practices describe levels of automation in terms of their limitations and expect users to compensate accordingly. However, this assumes that humans are able to understand the operational implications and consequences of technical limitations. This workshop focuses, instead, on how automation could be designed to understand the behavioral limitations and proclivities of human users. It will also address how human-machine interfaces could serve to provide users with an accurate mental model of automation against the context of the operational scenario. While transparency is often promoted as a crucial design principle for human-automation interfaces, doing so without thought can give rise to information overload. This workshop invites experts from different disciplines to identify potential misunderstandings that humans might hold of automated systems, how these misunderstandings can be resolved with novel interfaces, and what measures could be taken to develop automated systems that are easily understandable and capable of understanding their users in return.
Organizers: Sven Krome, Juan Jativa-Villoldo, Dorothea Brockmann, Fabius Steinberger, Ronald Schroeter, Alexander Meschtscherjakov, and Sandra Trösterer
Venue: Alte Fleiwa Colloquium 3
In this half-day workshop, we explore the opportunities of live (or real-time) high-definition (HD) maps for the user experience of autonomous driving. To date, HD maps tend to be optimized for machine-readability, enabling autonomous driving systems to anticipate upcoming maneuvers. In our workshop, we want to unfold the possibilities of HD maps as a rich source for novel driving experiences, in-car entertainment or innovative location-based services. We will ideate, prototype and discuss new, radical or provocative user experiences that are grounded in the contextual, real- time datasets provided by HD maps. The outcome of the workshop will be twofold: first, an agenda for future research projects based on ideated use cases and job- stories of HD maps. Second, we will conceptualize a diverse range of sketches, storyboards or (paper) prototypes enabling a hands-on exploration of future driving experiences with HD maps.
Organizers: Brittany Noah, Philipp Wintersberger, Alexander Mirnig, Shailie Thakkar, Fei Yan, Thomas Gable, Johannes Kraus and Rod McCall
Venue: Alte Fleiwa Colloquium 1
Website: Trust in Automated Driving
This workshop intends to address contemporary issues surrounding trust in technology in the challenging and constantly changing context of automated vehicles. In particular, this workshop focuses on two main aspects: (1) appropriate definitions of trust and associated concepts for the automated driving context, especially regarding trust calibration in individual capabilities versus overall trust; (2) appropriate measures (qualitative and quantitative) to quantify trust in automated vehicles and in-vehicle interfaces. The workshop proceeds on the basis of a keynote and accepted position papers by participants as a basis for the focused breakout sessions. The outcome of the workshop will become the basis for a subsequent joint publication of organizers and participants discussing the issues (1) and (2).
Organizers: Anna-Katharina Frison, Andreas Riener, Myounghoon Jeon, Bastian Pfleging, Ignacio Alvarez, and Wendy Ju
Venue: Alte Fleiwa Colloquium 2
Automated driving systems (ADS) are mainly regarded from an innovation and technology-centered perspective. In academia, as well as in industry, there is a concentration on technical issues to maintain competitiveness while aspects like acceptance, trust and user experience are widely under-researched. However, the “human factor” is critical for a comprehensive establishment of ADS technology on the market. We believe that there is a need to focus on a user-centered design (UCD) perspectives to bring ADS innovation to a next level and to achieve a wide acceptance in society. In this workshop we want to discuss special requirements of UCD applied to ADS, to address challenges and opportunities and to reveal new research fields for future work.
T1: Tutorial How does your HMI Design affect the visual attention of the driver?
Organizers: Sebastian Feuerstack and Bertram Wortelen
Venue: OFFIS U104
Website: HEE Automotive UI 2017 Tutorial
The consideration of driver’s visual attention for HMI design is critical to ensure fast reaction times in unexpected situations and to promote situation awareness in hand-over situations. By performing eye-tracking studies in a driving simulator, the effect of an HMI to the attention distribution of the driver can be measured. Performing Eye tracking studies requires functional HMI prototypes but gives little insights on potential reasons for the measured behavior. In the tutorial we introduce a tool-driven and model-based approach to visual attention prediction, which can be performed already based on early HMI mockup ideas and with less effort compared to eye-tracking studies. The tutorial starts with an introduction to the theories of model-based visual attention prediction. Thereafter, participants are invited to either predict the visual attention for their own HMI design ideas or conduct an evaluation of an exemplary use case with the Human Efficiency Evaluator, which is a freely available research tool and that the participants can install on their computers or use in our lab.
W2: Human Machine Interaction in Autonomous Vehicles: the perspective of the two current HORIZON 2020 projects ADAS&ME and AUTOMATE
Organizers: Fabio Tango, Roberto Montanari, Andreas Luedtke, and Frederik Diederichs
Venue: Alte Fleiwa Colloquium 1
The workshop intends to promote the approach used in the design of interfaces for autonomous vehicles realized from the European projects ADAS&ME and AUTOMATE. ADAS&ME is dedicated to the creation of new driver state adaptive Advanced Driver Assistance Systems that incorporate driver and rider state, the situational and environmental context, as well as the adaptive interaction to automatically transfer control between vehicle and driver/rider and thus ensure safer and more efficient road usage. The AUTOMATE project will enhance safety by using the strength of both the automation and human driver in a dynamic situation dependent way. The automation is understood and designed as the driver’s companion or TeamMate.
Organizers: Shadan Sadeghian, Alexander Meschtscherjakov, Alexander Mirnig, Susanne Boll, Frederik Naujoks, Ioannis Politis, and Ignacio Alvarez
Venue: Alte Fleiwa Colloquium 2
Call for Position Papers: TORHOR-CFP
This workshop focuses on the problem of designing effective control transition interfaces in highly automated vehicles. This includes the handover of control from the driver to the autonomous vehicle, as well as takeover procedures from the vehicle to the driver. The workshop aims at consolidating existing knowledge and identifying remaining issues together with paths towards resolving these issues. Concrete focus points concern tasks and actors involved, presentation modalities, gradual versus sudden transition requests, situation and driving mode awareness, the temporal dimension, and engagement in driving and non-driving tasks.
Organizers: Andrew Kun, Manfred Tscheligi, Andreas Riener, and Hidde van der Meulen
Venue: OFFIS F02 (+ U61 and U82)
Website: ARV 2017
It is forecast that augmented reality (AR automotive applications will increase road safety, bring intuitive activities to driving, and finally enhance driving experience. AR technology may also help with the transition towards automated driving. However, many technological challenges need to be addressed before AR applications will hit the mainstream market. In this workshop, we will discuss potential and constraints as well as impact, role, and adequacy of AR in driving applications. The overarching goal is to define a research agenda for the general use of AR in intelligent vehicles within the next 3 to5 years.
Organizers: Kristina Stojmenova, Boštjan Kaluža, Jaka Sodnik
Venue: OFFIS D21
The goal of this tutorial is to demonstrate the use of a compact motion-based driving simulator intended for driver evaluation and assessment of psychophysiological signals of drivers. It will cover all steps of a typical simulator-based user study, from experiment design, development of simulation environment and scenarios, integration of external sensors as well as data collection and analysis. Participants will be demonstrated professional simulation software development kit, methods and equipment that is typically used for acquisition of data on driver behavior and performance, and techniques for big data processing and analysis. They will be encouraged to take part in a short use case during the tutorial and discuss all of the pros and cons of performing studies in a driving simulator. The main outcome of this tutorial will be a detailed overview of methods and available equipment for fast, accurate and efficient data collection on driving performance and driver behavior, as well as methods for analysis and interpretation of such diverse data.