Human Factors:

• Empirische Untersuchung und kognitive Modellierung psychologischer Grundlagen menschlichen Verhaltens in Mensch-Maschine-Systemen (insb. Aufmerksamkeit, Situationsrepräsentation und Situationsverständnis, Handlungsauswahl, visuelle und kognitive Ablenkung, Antizipation)
  
  
• Konzepte der Mensch-Maschine-Interaktion und -Kooperation und deren Umsetzung in Gestaltungs- und Entwicklungsprozesse (z.B., Voraussetzungen und Prinzipien kooperativer teil- und hochautomatisierter Assistenz und Automation, modellbasierte Gestaltung von Assistenz und Automation)
  
  
• Ganzheitliche Gestaltung und Bewertung von Mensch-Maschine-Interaktion insbesondere für teil- und hochautomatisierte Assistenz und Automation im Kontext Fahrer-Fahrzeugsysteme (z.B., Transitionen, Kooperations- und Interaktionsgestaltung innerhalb und zwischen Fahrer-Fahrzeugsystemen, multimodale Interaktionsgestaltung, Systemverständnis, adaptive Automation, Bewertungsverfahren)
  
  

Kognitionspsychologie:

• Verstehensprozesse und mentale Repräsentation (insb. in dynamischen Situationen und bei diagnostischen Problemen)
  
  
• Urteilsbildung und Reihungseffekte
  
  
• Diagnostisches Problemlösen
  
  

Publikationsübersicht

Publikationsübersicht 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.