Tuesday: virtual conference
Saluton! How do you evaluate usability? - Virtual Workshop on Usability Assessments of Automated Driving Systems
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.
Emotion GaRage Vol. II: A Workshop on Affective In-Vehicle Display Design
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.
Communication with Other Road Users I
Evaluating Highly Automated Trucks as Signaling Lights,
Mark Colley, Stefanos Can Mytilineos, Marcel Walch, Jan Gugenheimer, Enrico Rukzio
Designing Communication Strategies of Autonomous Vehicles With Pedestrians: An Intercultural Study
Mirjam Lanzer, Franziska Babel, Fei Yan, Bihan Zhang, Fang You, Jianmin Wang, Martin Baumann
Impact of Hand Signals on Safety: Two Controlled Studies With Novice E-Scooter Riders
Andreas Löcken, Pascal Brunner, Ronald Kates, Andreas Riener
Advanced Interfaces: Design and Applications
The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective
Patrick Ebel, Florian Brokhausen, Andreas Vogelsang
Gaze-based Interaction with Windshield Displays for Automated Driving: Impact of Dwell-time and Feedback Design on Task Performance and Subjective Workload
Andreas Riegler, Bilal Aksoy, Andreas Riener, Clemens Holzmann
Dealing with Input Uncertainty in Automotive Voice Assistants
Vanessa Tobisch, Markus Funk, Adam Emfield
“Watch out!”: Prediction-Level Intervention for Automated Driving
Chao Wang, Matti Krüger, Christiane B. Wiebel-Herboth
06:00 - 07:00 AM EDT
WIP POSTER ‘LIVE CHAT’ 3
WIP POSTER ‘LIVE CHAT’ 3
01. "Give Me the Keys, I’ll Drive!" Results from an Exploratory Interview Study to assess Public’s Desires and Concerns on Automated Valet Parking
Martina Schuß, Andreas Riener
03. An Exploration of Users' Thoughts on Rear-Seat Productivity in Virtual Reality
Jingyi Li, Ceenu George, Andrea Ngao, Kai Holländer, Stefan Mayer, Andreas Butz
05. Ultrahapticons: “Haptifying” Drivers’ Mental Models to Transform Automotive Mid-Air Haptic Gesture Infotainment Interfaces
Eddie Brown, David R. Large, Hannah Limerick, Gary Burnett
08. Towards A Framework of Detecting Mode Confusion in Automated Driving: Examples of Data from Older Drivers
Shabnam Haghzare, Jennifer Campos, Alex Mihailidis
10. Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data
Erfan Pakdamanian
11. Exploring the Effectiveness of External Human-Machine Interfaces on Pedestrians and Drivers
Young Woo Kim, Jae Hyun Han, Yong Gu Ji, Seul Chan Lee
15. Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information
Brook Abegaz, Eric Chan-Tin, Neil Klingensmith, George K. Thiruvathukal
19. Haptic Feedback for the Transfer of Control in Autonomous Vehicles
Patrizia Di Campli San Vito, Edward Brown, Stephen Brewster, Frank Pollick, Simon Thompson, Lee Skrypchuk, Alexandros Mouzakitis
20. A Gender Study of Communication Interfaces between an Autonomous Car and a Pedestrian
Chia-Ming Chang
22. Sensor Fusion Based State Estimation for Localization of Autonomous Vehicle
Subrahmanya Gunaga, Nalini C. Iyer, Akash Kulkarni
23. VR-PAVIB: The Virtual Reality Pedestrian-Autonomous Vehicle Interaction Benchmark
Ana Dalipi, Dongfang Liu, Xiaolei Guo, Yingjie Victor Chen, Christos Mousas
24. Face2Multimodal: In-vehicle Multi-modal Predictors via Facial Expressions
Zhentao Huang, Rongze Li, Wangkai Jin, Zilin Song, Yu Zhang, Xiangjun Peng, Xu Sun
Communication with Other Road Users II
Effect of Visualization of Pedestrian Intention Recognition on Trust and Cognitive Load
Mark Colley, Christian Bräuner, Mirjam Lanzer, Marcel Walch, Martin Baumann, Enrico Rukzio
| Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians |
| An Exploration of Prosocial Aspects of Communication Cues between Automated Vehicles and Pedestrians |
A Design Space for External Communication of Autonomous Vehicles
Mark Colley, Enrico Rukzio
Vehicle Automation: Support Systems and Feedback
The Joy of Collaborating with Highly Automated Vehicles
Gesa Wiegand, Kai Holländer, Katharina Rupp, Heinrich Hussmann
“Left!” – “Right!” – “Follow!” Verbalization of Action Decisions for Measuring the Cognitive Take-Over Process
Lara Scatturin, Rainer Erbach, Martin Baumann
The Effect of Instructions and Context-Related Information about Limitations of Conditionally Automated Vehicles on Situation Awareness
Quentin Meteier, Marine Capallera, Emmanuel de Salis, Andreas Sonderegger, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini
Explainable Automation: Personalized and Adaptive UIs to Foster Trust and Understanding of Driving Automation Systems
Philipp Wintersberger, Hannah Nicklas, Thomas Martlbauer, Stephan Hammer, Andreas Riener
Saluton! How do you evaluate usability? - Virtual Workshop on Usability Assessments of Automated Driving Systems
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.
AutoWork 2020: Second Workshop on the Future of Work and Well-Being in Automated Vehicles
Description:
With increasing automation automated vehicles are becoming places for work and play. However, critical human-computer interaction issues have to be resolved before a safe, productive and enjoyable implementation is possible. In past workshops of this series, we have identified a research agenda to do so. This year, we are going to define user stories and innovate on concepts solving specific issues in a two-session schedule. Researchers from all fields and backgrounds are invited to join and contribute.
Workshop Website:
http://www.andreasriener.com/AutoUI20WS_AutoWork/
Interfaces, Special Populations, and Shared Concepts
| Usable and Acceptable Response Delays of Conversational Agents in Automotive User Interfaces |
Capacity Management in an Automated Shuttle Bus: Findings from a Lab Study
Alexander G. Mirnig, Vivien Wallner, Magdalena Gärtner, Alexander Meschtscherjakov, Manfred Tscheligi
Concepts of In-Vehicle Safety Applications: Lessons Learned from Practical Connected Vehicle Implementations
Gregory M. Baumgardner, Liberty Hoekstra-Atwood, David Miguel M. Prendez, Alejandro Sanchez-Badillo
Putting Older Adults in the Driver Seat: Using User Enactment to Explore the Design of a Shared Autonomous Vehicle
Aaron Gluck, Kwajo Boateng, Earl W. Huff Jr., Julian Brinkley
15:00 - 16:00 PM EDT
Closing Plenary Session
Closing Plenary Session
Moderator:
Dr. David Yang
AAA Foundation for Traffic Safety
Sponsored by
Reflections, Observations, and Outlook for Future
Dr. Chris Janssen
Utrecht University
(AutomotiveUI 2019 General Co-Chairs)
Chris Janssen is an assistant professor (tenured) at Utrecht University (The Netherlands) in experimental psychology. His research focuses on understanding adaptive human behaviour and human-automation interaction. Of particular interest are human behavior in multi-tasking settings, driver distraction, and when interacting with automated system such as autonomous cars. He is an associate editor of the International Journal of Human-Computer Studies, and served as general co-chair of the 2019 AutomotiveUI Conference.
Dr. Stella Donker
Utrecht University
(AutomotiveUI 2019 General Co-Chairs)
Stella F. Donker is an associate professor of experimental psychology at Utrecht University. She received her Ph.D. in medical sciences from the University of Groningen. She has a background in biology and human movement sciences and has worked in the field of applied cognitive psychology since 2007. She works on the automotive domain with a focus on the behavior of the human driver in semi-automated cars; in addition, she conducts research on human movement sciences and interaction with mobile devices during running. She was the general co-chair for the 2019 AutomotiveUI Conference.
Dr. Birsen Donmez
University of Toronto
(AutomotiveUI 2018 General Chair)
Birsen Donmez is a professor at the University of Toronto, Mechanical & Industrial Engineering Department and is the Canada Research Chair in Human Factors and Transportation. Her research interests are centered on understanding and improving human behavior and performance in multi-task and complex situations, using a wide range of analytical techniques. She has served as an associate editor for IEEE Transactions on Human-Machine Systems, and as the General Chair for AutomotiveUI’18.
Dr. Susanne Boll
University of Oldenburg
(AutomotiveUI 2017 General Chair)
Prof. Dr. Susanne Boll is Professor of Media Informatics and Multimedia Systems in the Department of Computing Science at the University of Oldenburg, in Germany. Her passion is developing interaction technology that is shaped toward a respectful and beneficial cooperation of human and technology in a future more and more digitalized world. She was program co-chair of AutomotiveUI 2010 and general chair of AutomotiveUI 2017.
Dr. Paul Green
University of Michigan Transportation Research Institute
(AutomotiveUI 2016 General Chair)
Paul Green is a Research Professor at the University of Michigan Transportation Research Institute and an Adjunct Associate Professor/Research Professor of Industrial and Operations Engineering. He has written more than 300 publications on driver interfaces, driver distraction, and driver workload. He is a past-president of the Human Factors and Ergonomics Society and a long-standing member of its board of directors. His current research concerns predicting task time and compliance with the National Highway Traffic Safety Administration occlusion protocol from task descriptions, and assessing how well armored vehicles are driven remotely.
21:00 - 22:00 PM EDT
WIP POSTER ‘LIVE CHAT’ 4
WIP POSTER ‘LIVE CHAT’ 4
02. Hit the Brakes! Augmented Reality Head-up Display Impact on Driver Responses to Unexpected Events
Missie Smith, Lisa Jordan, Kiran Bagalkotkar, Srikar S. Manjuluri, Rishikesh Nittala, Joseph L. Gabbard
06. Decoding CNN based Object Classifier Using Visualization
Abhishek Mukhopadhyay, Imon Mukherjee, Pradipta Biswas
09. Adapting In-Vehicle Voice Output: A User- and Situation-Adaptive Approach
Daniela Stier, Ulrich Heid, Wolfgang Minker
11. Exploring the Effectiveness of External Human-Machine Interfaces on Pedestrians and Drivers
Young Woo Kim, Jae Hyun Han, Yong Gu Ji, Seul Chan Lee
12. "Help, Accident Ahead!" Using Mixed Reality Environments in Automated Vehicles to Support Occupants After Passive Accident Experiences
Henrik Detjen, Stefan Geisler, Stefan Schneegass
14. "What is it?" How to Collect Urgent Utterances using a Gamification Approach
Jakob Landesberger, Ute Ehrlich, Wolfgang Minker
17. No Need to Slow Down! A Head-up Display Based Warning System for Cyclists for Safe Passage of Parked Vehicles
Tamara von Sawitzky, Thomas Grauschopf, Andreas Riener
19. Haptic Feedback for the Transfer of Control in Autonomous Vehicles
Patrizia Di Campli San Vito, Edward Brown, Stephen Brewster, Frank Pollick, Simon Thompson, Lee Skrypchuk, Alexandros Mouzakitis
20. A Gender Study of Communication Interfaces between an Autonomous Car and a Pedestrian
Chia-Ming Chang
21. Foresight Safety: Sharing Drivers’ State among Connected Road Users
Paolo Pretto, Sandra Trösterer, Nikolai Ebinger, Nino Dum
22. Sensor Fusion Based State Estimation for Localization of Autonomous Vehicle
Subrahmanya Gunaga, Nalini C. Iyer, Akash Kulkarni
24. Face2Multimodal: In-vehicle Multi-modal Predictors via Facial Expressions
Zhentao Huang, Rongze Li, Wangkai Jin, Zilin Song, Yu Zhang, Xiangjun Peng, Xu Sun
25. Tactical Decisions for Lane Changes or Lane Following? Development of a Study Design for Automated Driving
Johannes Ossig, Stephanie Cramer
The 2nd Workshop on Localization vs. Internationalization: Impact of COVID-19 Pandemic on AutomotiveUI Activities from the View of Diversity and Inclusion
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
Saluton! How do you evaluate usability? - Virtual Workshop on Usability Assessments of Automated Driving Systems
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.