| Contact | |
| Johannes Gutenberg University Mainz Institute of Psychology Human Factors and Engineering Psychology | |
| Room 06-208 , Entrance B, Wallstr. 3, 55122 Mainz | |
| +49 6131 39 31065 | |
| jokraus@uni-mainz.de | |
| Consultation hour by appointment |
| since 2025 | Professorship of Human Factors and Engineering Psychology at the Johannes Gutenberg-Universität Mainz |
| 2023 – 2025 | Junior Professorship for Applied Cognitive Psychology at the Johannes Gutenberg-Universität Mainz |
| 2020 – 2023 | Postdoctoral researcher in the department Human Factors at Ulm University, Head of Human-Robot Interaction |
| 2020 | PhD (Dr. rer. nat.) at Ulm University with the thesis „Psychological Processes in the Formation and Calibration of Trust in Automation“ |
| 2014 – 2020 | Research assistant at the Department of Human Factors of Ulm University |
| 2013 – 2014 | Employee at the Spiegel Institute Mannheim with focus on usability and user experience in the automotive industry |
| 2010 – 2013 | M.Sc. Psychology at the University Mannheim |
| 2007 – 2010 | B.Sc. Psychology at the University Mannheim |
RoboCons is a European, interdisciplinary research project that aims to make the construction industry fit for the future by integrating advanced robotics and digital methods into construction practice. Learn more here about the EU-HORIZON project.
Consortium leadership of the BMBF-funded competence center for the research and evaluation of human-robot interaction in public spaces (ZEN-MRI). Learn more here.
Consortium leadership of the FAIR-COM subproject within the project “Trading Off Non-Functional Properties of Machine Learning” (TOPML), funded under the “Breakthroughs in Artificial Intelligence” program of the Carl Zeiss Foundation. Learn more here.
2026
Zeng, Z., Miller, L., Baumann, M. & Kraus, J. (2026). Encountering Robots in the Field: Proof of Concept and Findings from a Real-Life Eye-Tracking Study. International Journal Of Social Robotics, 18(1). https://doi.org/10.1007/s12369-025-01350-2
Scholz, D
2025
Eisele, D., Kraus, J., Schlemer, M. M., & Petzoldt, T. (2025). Should automated vehicles communicate their state or intent? Effects of eHMI activations and non-activations on pedestrians’ trust formation and crossing behavior. Multimedia Tools and Applications, 84(21), 24405–24429.
Scholz, D. D., Kraus, J., & Miller, L. (2025). Measuring the propensity to trust in automated technology: Examining similarities to dispositional trust in other humans and validation of the PTT-A scale. International Journal of Human–Computer Interaction, 41(2), 970–993.
Weidlich, J., Jivet, I., Woitt, S., Orhan Göksün, D., Kraus, J., & Drachsler, H. (2025). The student feedback literacy instrument (SFLI): Multilingual validation and introduction of a short-form version. International Journal of Human–Computer Interaction.
2024
Kraus, J., Miller, L., Klumpp, M., Babel, F., Scholz, D., Merger, J., & Baumann, M. (2024). On the role of beliefs and trust for the intention to use service robots: An integrated trustworthiness beliefs model for robot acceptance. International Journal of Social Robotics, 16(6), 1223–1246.
Buchner, C., Kraus, J., Miller, L., & Baumann, M. (2024). What is good? Exploring the applicability of a one item measure as a proxy for measuring acceptance in driver-vehicle interaction studies. Journal on Multimodal User Interfaces, 18(2), 195–208.
Walker, F., Forster, Y., Hergeth, S., Kraus, J., Payre, W., Wintersberger, P., & Martens, M. (2024). Trust in Automated Vehicles. Frontiers in Psychology, 15, 1404200.
von Janczewski, N., Kraus, J., Engeln, A., & Baumann, M. (2024). IVIPAT: An in-vehicle information processing analysis tool to optimize user interaction flows. Cognition, Technology & Work, 26(2), 247–265.
Stiegemeier, D., Kraus, J., & Baumann, M. (2024). Why drivers use in-vehicle technology: The role of basic psychological needs and motivation. Transportation Research Part F: Traffic Psychology and Behaviour, 100, 133–153.
2024
Kraus, J., & Baumann, M. (2024). Trust in Automated Driving and the Three Stages of Trust Framework: Takeaways for Designing Human-Centered AI Applications. In The Impact of Artificial Intelligence on Societies: Understanding Attitude Formation Towards AI (pp. 119–132). Springer Nature Switzerland.
2025
Raab, M., Miller, L., Zeng, Z., Jansen, P., Baumann, M., & Kraus, J. (2025). Assessing Pedestrian Behavior Around Autonomous Cleaning Robots in Public Spaces: Findings from a Field Observation. arXiv preprint arXiv:2508.13699.
Wessels, M., de Heuvel, J., Müller, L., Maier, A. L., Bennewitz, M., & Kraus, J. (2025). Auditory Localization and Assessment of Consequential Robot Sounds: A Multi-Method Study in Virtual Reality. arXiv preprint arXiv:2504.00697.
2024
Metzger, L., Miller, L., Baumann, M., & Kraus, J. (2024). Empowering calibrated (dis-)trust in conversational agents: A user study on the persuasive power of limitation disclaimers vs. authoritative style. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems.
Turriziani, L., Kraus, J., Ruess, S., Zeng, Z., & Kannan, S. S. (2024). Robots on the road – Investigating potentials of eHMI-concepts for HRI to tackle critical situations in public spaces. In Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).
Agrawal, S., Wessels, M., de Heuvel, J., Kraus, J., & Bennewitz, M. (2024). Sound Matters: Auditory Detectability of Mobile Robots. In Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).
