Prof. Dr. Martin Baumann

Since 02/2014Chair of Human Factors at Ulm University
2011 – 2014Head of the group „System Ergonomics and Interaction Design“at the Institute of Transportation Systems at the German Aerospace Center (DLR), Braunschweig
2007 – 2014Head of the group „Driver Cognition and Modelling“ at the Institute of Transportation Systems at the German Aerospace Center (DLR), Braunschweig
2006 – 2007 Post-Doc at the Federal Highway Research Institute (BASt) for a two-year research project „Situational and personal influencing factors of the use of  mobile, portable devices in vehicles and development of a method for the evaluation of the usability of these devices“
2005Three-month visiting researcher at TNO (Netherlands Organisation for Applied Scientific Research) Human Factors, Soesterberg, Netherlands
2001 - 2005Postdoctoral researcher at the department of Cognitive and Engineering Psychology, Prof. Dr. Josef Krems, at Chemnitz University of Technology
2001Dissertation topic: „The role of working memory in abductive reasoning: Experimental studies on the availability of explained and unexplained data observations.“
1996 - 2001Research assistant at the department of Cognitive and Engineering Psychology, Prof. Dr. Josef Krems, at Chemnitz University of Technology

Contact

Martin Baumann
Head of Human Factors

Martin Baumann
☎ +49-(0)731/50 26500
℻ +49-(0)731/50 31749
Π 43.03.101

Consultation hours
on appointment

Research interests

Human Factors:

  • Cognitive Modeling and empirical studies of psychological foundations of human behavior in Human-Machine-Systems (especially attention processes, situational representation and understanding, selection of action, visual and cognitive distraction, anticipation)

  • Concepts of Human-Machine-Interaction and –Cooperation and related Design- und Implementation-Processes (e.g. principles of cooperative driver assistance and automation, model-based design of assistance and automation)

  • Holisitc design and evaluation of Human-Machine-Interaction specifically for partly- and highly-automated driver assistance and automation (e.g. transitions between driving modes, multimodal interaction design)

Cognitive Psychology:

  • Comprehension processes and mental representation (especially in dynamic situations and concerning diagnostic problems)

  • Decision Making and position effects

  • Diagnostic reasoning

Publications

Publication overview

Publications in Google Scholar.

2020
Muehl, K., Stoll, T., & Baumann, M. (2020). Look ahead: understanding cognitive anticipatory processes based on situational characteristics in dynamic traffic situations. IET Intelligent Transport Systems.

Kraus, J., Scholz, D., Messner, E. M., Messner, M., & Baumann, M. (2020). Scared to Trust?–Predicting Trust in Highly Automated Driving by Depressiveness, Negative Self-Evaluations and State Anxiety. Frontiers in Psychology, 10, 2917.

Faas, S. M., Mathis, L. A., & Baumann, M. (2020). External HMI for self-driving vehicles: Which information shall be displayed?. Transportation Research Part F: Traffic Psychology and Behaviour, 68, 171-186.

2019
Stoll, T., Imbsweiler, J., Deml, B., & Baumann, M. (2019). Three Years CoInCar: What Cooperatively Interacting Cars Might Learn from Human Drivers. IFAC-PapersOnLine, 52(8), 105-110.

Mühl, K., Koob, V., Stoll, T., & Baumann, M. (2019). Driving with foresight-evaluating the effect of cognitive distraction and experience on anticipating events in traffic. In Proceedings of the... international driving symposium on human factors in driver assessment, training and vehicle design (Vol. 2019, pp. 321-327). University of Iowa Public Policy Center.

Walch, M., Woide, M., Mühl, K., Baumann, M., & Weber, M. (2019, September). Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 144-155).

Faas, S. M., & Baumann, M. (2019, September). Yielding light signal evaluation for self-driving vehicle and pedestrian interaction. In International Conference on Human Systems Engineering and Design: Future Trends and Applications (pp. 189-194). Springer, Cham.

Mühl, K., Strauch, C., Grabmaier, C., Reithinger, S., Huckauf, A., & Baumann, M. (2019). Get Ready for Being Chauffeured: Passenger’s Preferences and Trust While Being Driven by Human and Automation. Human factors, 0018720819872893.

Kraus, J., Scholz, D., Stiegemeier, D., & Baumann, M. (2019). The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency. Human factors, 0018720819853686.

Faas, S. M., & Baumann, M. (2019, November). Light-Based External Human Machine Interface: Color Evaluation for Self-Driving Vehicle and Pedestrian Interaction. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63, No. 1, pp. 1232-1236). Sage CA: Los Angeles, CA: SAGE Publications.

Strauch, C., Mühl, K., Patro, K., Grabmaier, C., Reithinger, S., Baumann, M., & Huckauf, A. (2019). Real autonomous driving from a passenger’s perspective: Two experimental investigations using gaze behaviour and trust ratings in field and simulator. Transportation research part F: traffic psychology and behaviour, 66, 15-28.

Hock, P., Rukzio, E., & Baumann, M. (2019, September). The effect of incentives in driving simulator studies. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 249-253).

Gelau, C., Baumann, M., & Pauzié, A. (2019). HUMANIST Contributions for the Development of Guidelines and Standards on HMI. Safety of Innovative Transport Technologies: Design, Evaluation, and Social perspectives, 65-80.

Kraus, J. M., Forster, Y., Hergeth, S., & Baumann, M. (2019). Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation. International Journal of Mobile Human Computer Interaction (IJMHCI), 11(3), 1-17.

Kraft, A. K., Maag, C., & Baumann, M. (2019). How to support cooperative driving by HMI design?. Transportation Research Interdisciplinary Perspectives, 3, 100064.

Yan, F., Eilers, M., Weber, L., & Baumann, M. (2019, October). Investigating Initial Driver Intention on Overtaking on Rural Roads. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 4354-4359). IEEE.

Scatturin, L., Erbach, R., & Baumann, M. (2019, September). Cognitive psychological approach for unraveling the take-over process during automated driving. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 215-220).

Yan, F., Karaosmanoglu, S., Demir, A., & Baumann, M. (2019, September). Spatial visualization of sensor information for automated vehicles. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 265-270).

Hock, P., Babel, F., Muehl, K., Rukzio, E., & Baumann, M. (2019, September). Online experiments as a supplement of automated driving simulator studies: a methodological insight. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 282-286).

Pichen, J., Baumann, M., & Stoll, T. (2019, September). Stuck behind a truck: a cooperative interaction design approach to efficiently cope with the limitations of automated systems. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 199-204).

Hock, P., Babel, F., Kraus, J., Rukzio, E., & Baumann, M. (2019, September). Towards Opt-Out Permission Policies to Maximize the Use of Automated Driving. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 101-112).

Baumann, M., Weissinger, C., & Herzog, H. G. (2019, August). Reducing Transient Disturbances within Automotive Power Systems Through Adapting of Input Circuits. In 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE) (pp. 214-218). IEEE.

Stefanie, M., & Baumann, M. (2019, August). Yielding Light Signal Evaluation for Self-driving Vehicle and Pedestrian Interaction. In Human Systems Engineering and Design II: Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, September 16-18, 2019, Universität der Bundeswehr München, Munich, Germany (Vol. 1026, p. 189). Springer.

Pärsch, N., Harnischmacher, C., Baumann, M., Engeln, A., & Krauß, L. (2019, July). Designing Augmented Reality Navigation Visualizations for the Vehicle: A Question of Real World Object Coverage?. In International Conference on Human-Computer Interaction (pp. 161-175). Springer, Cham.