Dr. rer. nat. Johannes Kraus

10/2020 Post-doc in der Abteilung Human Factors an der Universität Ulm
08/2020 Promotion zum Dr. rer. nat. an der Universität Ulm mit dem Thema „Psychological Processes in the Formation and Calibration of Trust in Automation“
Seit 10/2014 Wissenschaftlicher Mitarbeiter in der Abteilung Human Factors am Institut für Psychologie und Pädagogik der Universität Ulm
2013 - 2014 Mitarbeiter beim Spiegel Institut Mannheim mit den Schwerpunkten Usability und Nutzererleben im Automobil
2010 - 2013 M.Sc. Psychologie an der Universität Mannheim
2007 - 2010 B.Sc. Psychologie an der Universität Mannheim

Kontakt

 

 

Johannes Kraus
Post-doc

Johannes Kraus
☎ +49-(0)731/50 26507
℻ +49-(0)731/50 31749
Π 41.01.103

Sprechzeiten
Semester: Mi 15:00 - 16:00 Uhr
Semesterferien: nach Vereinbarung

Forschungsinteressen

  • Trust in Automation (Automationsvertrauen):
    o    Dynamische Vertrauensprozesse in der Mensch-Technik-Interaktion
    o    Psychologische Einflussfaktoren auf die Wahrnehmung, Evaluation und Interaktion mit technischen Systemen
    o    Insbesondere: Einfluss der Nutzerpersönlichkeit
  • Mensch-Roboter Interaktion:
    o    Personen- und systembezogene Einflussfaktoren auf die Interaktion mit (Service-)Robotern
    o    Menschenzentrierte Designprozesse der Mensch-Roboter-Interaktion
  • Fahrer-Fahrzeug-Kooperation: Psychologische Grundlagen des Nutzererlebens und der menschzentrierten Gestaltung von kooperativen, hochautomatisierten Fahrzeugen
  • Anthropomorphismus: Auswirkungen und Einflussfaktoren menschenähnlicher Gestaltung von automatisierten Systemen

Publikationen

Publikationsübersicht in Google Scholar.

2020

Kraus, J., Scholz, D., & Baumann, M. (2020). What’s driving me? - Exploration and validation of a hierarchical personality model for trust in automated driving. Human Factors. Advance online publication. https://doi.org/10.1177/0018720820922653

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. https://doi.org/10.3389/fpsyg.2019.02917

2019

Kraus, J., 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, 11(3), 1-17. https://doi.org/10.4018/IJMHCI.2019070101

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. Advance online publication. https://doi.org/10.1177/0018720819853686

Hock, P., Babel, F., Kraus, J., Rukzio, E., & Baumann, M. (2019). Towards opt-out permission policies to maximize the use of automated driving. Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 101-112. https://doi.org/10.1145/3342197.3344521

2018

Hock, P., Kraus, J., Babel, F., Walch, M., Rukzio, E., & Baumann, M. (2018). How to design valid simulator studies for investigating user experience in automated driving: Review and hands-on considerations. Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 105-117. https://doi.org/10.1145/3239060.3239066

Forster, Y., Kraus, J., Feinauer, S., & Baumann, M. (2018). Calibration of trust expectancies in conditionally automated driving by brand, reliability information and introductionary videos: An online study. Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 118-128. https://doi.org/10.1145/3239060.3239070

Wintersberger, P., Noah, B. E., Kraus, J., McCall, R., Mirnig, A. G., Kunze, A., Thakkar, S., & Walker, B. N. (2018). Second workshop on trust in the age of automated driving. Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 56-64. https://doi.org/10.1145/3239092.3239099

Kraus, M., Kraus, J., Baumann, M., & Minker, W. (2018, May). Effects of gender stereotypes on trust and likability in spoken human-robot interaction. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). https://www.aclweb.org/anthology/L18-1018

2017

Walch, M., Mühl, K., Kraus, J., Stoll, T., Baumann, M., & Weber, M. (2017). From car-driver-handovers to cooperative interfaces: Visions for driver-vehicle interaction in automated driving. In G. Meixner & C. Müller (Eds.), Automotive user interfaces: Creating interactive experiences in the car (pp. 273-294). Springer International Publishing. https://doi.org/10.1007/978-3-319-49448-7_10

Noah, B. E., Wintersberger, P., Mirnig, A. G., Thakkar, S., Yan, F., Gable, T. M., Kraus, J., & McCall, R. (2017). First workshop on trust in the age of automated driving. Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 15-21. https://doi.org/10.1145/3131726.3131733

2016

Kraus, J. M., Nothdurft, F., Hock, P., Scholz, D., Minker, W., & Baumann, M. (2016). Human after all: Effects of mere presence and social interaction of a humanoid robot as a co-driver in automated driving. Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 129-134. https://doi.org/10.1145/3004323.3004338

Hock, P., Kraus, J., Walch, M., Lang, N., & Baumann, M. (2016). Elaborating feedback strategies for maintaining automation in highly automated driving. Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 105-112. https://doi.org/10.1145/3003715.3005414

2015

Kraus, J. M., Sturn, J., Reiser, J. E., & Baumann, M. (2015). Anthropomorphic agents, transparent automation and driver personality: Towards an integrative multi-level model of determinants for effective driver-vehicle cooperation in highly automated vehicles. Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 8-13. https://doi.org/10.1145/3003715.3005414