Keynote Speakers

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Opening Keynote:
Prof. Dr. Klaus Bengler

 

Technical University of Munich (TUM)

Tuesday, September 19, 2023, 9:30-10:30,
THI main conference room E003

BIOGRAPHY

Prof. Dr. Klaus Bengler is a Full Professor (W3) for Ergonomics and the Chair of Ergonomics at the Technical University of Munich. He has a diploma in Psychology from the University of Regensburg. With a strong background in human factors and ergonomics, he conducted groundbreaking research in cooperation with BMW AG.

During his career, he worked as an assistant at the University of Regensburg and freelanced with TĂśV SĂĽddeutschland. Later, he joined BMW AG, where he led the Human-Machine Interaction Team and the BMW Usability Lab.
Since 2009, Dr. Bengler has been a Full Professor at the Technical University of Munich. He is actively involved in various research areas, including Automotive Ergonomics, Human Robot Cooperation, Human Reliability, and Digital Human Modeling.


Dr. Bengler holds leadership positions in several organizations and projects related to human factors, automated driving, and robotics. His expertise contributes significantly to the advancement of human-machine interaction and transportation safety.

Keynote Abstract

Driving Automated. Looking Back – Looking Ahead

Meanwhile we can reflect more than a decade of human factors research on automated driving initiated by significant technological advancements. On the other hand, vehicle fleets transform far slower than expected. This seems to be a good opportunity to reflect historic prognoses and decisions related to automated driving. Furthermore, consider the relevance of human factors aspects for future developments in this area.

Wednesday Keynote:
Prof. Dr. Marco Dozza

Chalmers University of Technology

Wednesday, September 20, 2023, 11:30-12:30,
THI main conference room E003

BIOGRAPHY

Marco Dozza is a Professor in Active Safety and Road-user Behavior in the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. Within this department, he leads the Unit on Crash Analysis and Prevention (CAP) in the Vehicle Safety Division. Within CAP, Marco's research activities include modeling road-user behavior, development, and evaluation of active safety, human interaction with automation, and cycling safety. The research of the CAP unit is rooted in cognitive science and neuroscience, combines engineering and human factors, and relies on naturalistic and experimental data.

Marco earned his Ph.D. in Bioengineering from University of Bologna, Italy in collaboration with Oregon Health and Science University, Portland OR, USA (). After graduation, he worked as System Developer for over 2 years at Volvo Technology, a research and innovation company inside the Volvo group. Since 2009, he has been an Examiner for the course Active Safety in the Master’s Programme for Mobility Engineering.

Keynote Abstract

Micromobility: An opportunity for future transport and a challenge for intelligent vehicles

Today's vehicles are increasingly connected, automated, and smart. The challenge for vehicle intelligence is to satisfy all road users’ mobility needs while keeping them safe and comfortable. Ensuring the safety of micromobility users (e.g., cyclists and e-scooterists) is particularly tricky, not only because of their intrinsic vulnerability but also because their behavior is hard to predict. Maneuvers involving high speed, close proximity, and multiple threats—such as overtaking when there is oncoming traffic—are particularly difficult to handle because a tiny human error may result in a fatality. In order for vehicles to provide support during overtaking maneuvers (or perform the maneuver themselves), they must be able to predict human behavior accurately and intervene promptly when necessary, before a human shortcoming can cause harm to any road user. We can combine simulator, test-track, and naturalistic data to devise models (i.e., algorithms) that can explain to machines how a reference driver may safely interact with micromobility users. These models are intended for advanced driving assistance systems (to support drivers maneuvering among micromobility users) and for automated vehicles (to efficiently interact with micromobility vehicles while maximizing the safety and comfort of all road users).

Closing Keynote:
Doreen Engelhardt

AUDI AG

Thursday, September 21, 2023, 14:00-15:00,
THI main conference room E003
 

BIOGRAPHY

Doreen Engelhardt is User Experience Developer at Audi and responsible for pre-development projects covering innovations around Human-AI Interaction, Cultural Adaptivity and innovative Interior Design since 2017 in the department Innovations Interieur User Experience of AUDI AG. Previously, she worked as project leader at AUDI AG, Ingolstadt, on the integration of artificial intelligence into the voice interface. She is the project leader for AI-Interaction for the federally funded project KARLI. She received her diploma in Applied Media and Communication Studies from the Technical University of Ilmenau. Her research interests include Human-AI Interaction, Intercultural User Interface Design and Multimodal User Interface Design.

Keynote Abstract

The Art of Anticipation: How Empathic Systems Change the User Experience in the Vehicle

Technical advances in artificial intelligence and driver state detection, make it possible to create individual experiences with AI-based adaptivity. This opens the door for adaptive, intelligent, and even empathic system behavior. This talk provides insights into how Audi systematically approached the development of these adaptive and empathic features at an early stage by creating a standardized taxonomy. The taxonomy distinguishes 5 different levels of adaptive systems and provide a framework for development engineers as well as UX designers.