This page is no longer maintained or updated.
For timely information see .
(November 2024)
This page is no longer maintained or updated.
For timely information see .
(November 2024)
As part of the "Smart Mobility" research funding program of the state of Baden-Württemberg, the "Intuitiver" project for interaction between automated vehicles and easily vulnerable road users will start in November 2018. The project focuses on how autonomous vehicles and pedestrians can recognize each other's intentions, for example when crossing the road, and how autonomous vehicles inform occupants of their intentions. Prof. Dr. Martin Baumann (Psychology), Prof. Dr. Klaus Dietmayer (Measurement, Control and Microtechnology), Prof. Dr. Christian Waldschmidt (Microwave Technology) and Prof. Dr. Enrico Rukzio (Media Informatics) of the University of Ulm are part of the consortium.
Mark examines in the context of the joint project <a class="external-link-new-window" href="/in/omi/institut/blog/details/article/neues-projekt-intuitiver-zur-interaktion-zwischen-automatisierten-fahrzeugen-und-leicht-verletzbaren-verkehrsteilnehmern/" title="Opens internal link in current window">Intuitiver</a> communication possibilities between highly automated vehicles and easily vulnerable road users (pedestrians, cyclists, etc.)
Cooperation partner: Îçҹ̽»¨, AVL Software & Functions GmbH, Human-Factors-Consult GmbH, Humatects GmbH, OFFIS e.V..
SituWare addresses a central obstacle to the introduction of highly automated vehicles (see also BASt) into complex traffic: The required time reserve for a safe transfer of control to distracted Driver. Even medium-term available environment sensors cannot always guarantee large time reserves. SituWare reduces the takeover time by means of a targeted, driver situational awareness
Adapted driver guidance and allows a fluid vehicle behaviour with high user acceptance by adapting the automation to the driver's situation awareness.
Mark examines how transfer processes can be made safer and faster through multimodal attention and information guidance.
The goal of the project SEMULIN (Self-supporting Multimodal Interaction) is the development of a self-supporting, natural and consistent human-machine interface for automated driving vehicles by means of multimodal input and output concepts.
In cooperation with Elektrobit Automotive GmbH (project lead), audEERING GmbH, Eesy Innovation GmbH, Fraunhofer Institute for Integrated Circuits, Infineon Technologies AG, University of Ulm, and the associated partner Mercedes-Benz AG, novel interaction concepts are developed considering multimodal input and output concepts.
Mark investigates how previous interaction takes place in vehicles and how it can be improved by multimodal interaction.
People with vision impairments (VIP) are among the most vulnerable road users in traffic. Autonomous vehicles are believed to reduce accidents but still demand some form of external communication signaling relevant information to pedestrians. Recent research on the design of vehicle-pedestrian communication (VPC) focuses strongly on concepts for a non-disabled population. Our work presents an inclusive user-centered design for VPC, beneficial for both vision impaired and seeing pedestrians. We conducted a workshop with VIP (N=6), discussing current issues in road traffic and comparing communication concepts proposed by literature...
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I am happy to supervise Bachelor and Master theses with a focus on the interaction with (partially) autonomous vehicles and their bigger scale effects. The focus is on the interaction in the car, but also on the interaction of outsiders (passers-by, cyclists, ...) with autonomous vehicles. I am always open to suggestions for topics from you.
Please contact me by e-mail if you are interested. Below are listed some potential fields of work.
I am looking forward to our cooperation.
Open Topics:
Multimodal Interaction in Automated Driving |
Uncertainty Visualization in Automated Driving |
Aiding Impaired Persons Through Autonomous Vehicles External Communication |
Information Needs in Highly Automated Driving |
External Communication in Highly Automated Driving |
Incorporating Human Operators in Vehicle-Human Communication |
Further topics can be found under this Link
Master Theses
Bachelor Theses
I reviewed more than 240 papers and Late-Breaking Works, for example, for:
Conference Reviewer: MobileHCI '19'21'22'23, AutoUI '19'20'21'22'23, CHI PLAY '19'20'21'22'23, CHI'20'21'22, TEI'21'23, HRI'21'22, IUI'21'23, DIS'21'22'23, ICMI'21'22, C&C'21'22, ISCW'21'22, ISMAR'21'22'23, IASDR'21, ISS'21, VRST '21'22, EICS'22'23, SUI'21'22, HAI'21'22, IEEE VR'22'23'24, OzCHI'22'23, ETRA'22'23, IDC'22, ICWSM'22, IMX'22'23, NordiCHI'22, CogSci'23, WHC'23, UIST'23, HRI'24,
Journal Reviewer: Frontiers in Human Dynamics, CSCW '21'22'23, Case Studies on Transport Policy, IJHCI, IMWUT'22'23, Behaviour & Information Technology '23, ToCHI'23
Book Reviewer: User Experience Design in the Era of Automated Driving
For this, I received some awards:
1 "Special Recognition for Outstanding Reviews" CHI 2021
1 "Special Recognition for Outstanding Reviews" CHI 2022
1 "Special Recognition for Outstanding Reviews" AutoUI 2021
1 "Special Recognition for Outstanding Reviews" IMWUT 2023
1 "Special Recognition for Outstanding Reviews" UIST 2023
1 "Special Recognition for Outstanding Reviews" MobileHCI 2023
Distinguished Reviewer Award for MobileHCI'23
3 "Special Recognition for Outstanding Reviews" CHI 2024
I also helped to organize some conferences:
Organizer LBW: CHI'21'22'23'24 Late Breaking Work AC, ETRA'24
Organizer Full Paper: AutoUI'21'22'23, MobileHCI'23, MuC'22'23, CHI'24 Full Paper AC
Best Paper Committe for CHI'24
Conference Organizer: Workshop and Tutorial Co-Chair AutoUI'23, Demo Co-Chair AutoUI'24
Some of my papers also received awards:
1 Best Full Paper Honorable Mention at CHI'20
1 Best Full Paper Honorable Mention at MobileHCI'22
1 Best Full Paper Honorable Mention at MobileHCI'23
1 Best Video at AutoUI'23
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