Publications in press

Buder, J., Becker, F., Bareiß, J., & Huff, M. (in press). Beyond mere algorithm aversion: Are judgments about computer agents more variable? Communication Research. https://dx.doi.org/10.1177/00936502241303588 Open Access
Fischer, H., Bojarskich, V., Ziemer, C.-T., Louis, W., Huff, M., & Rothmund, T. (in press). Zone-flooding, public confusion, and signal detection theory: A theoretical framework and registered report. Political Psychology.
Malitzke, P., Richter, C., & Schwan, S. (in press). Relationship between eye movement behavior and vocational interests. Personality and Individual Differences.
Pummerer, L., Ditrich, L., Winter, K., & Sassenberg, K. (in press). Belief in a norm-consistent climate policy conspiracy theory and non-normative collective action. Journal of Applied Social Psychology. https://dx.doi.org/10.1111/jasp.13094 Open Access
Said, N., Schumacher, L., & Huff, M. (in press). Artificial intelligence in medicine: The influence of medical expertise and perceived causability on medical AI risk and benefit perception. Journal of Risk Research.

Luther, T., Sommer, M., & Kimmerle, J. (in press). Investigating interaction patterns of co-writing with AI: A randomized vignette study on the impact of writing perspectives. In A. Coman & S. Vasilache (Eds.), Social Computing and Social Media Springer.

Anderl, C. (in press). Individual differences in teleworking outcomes. In O. A. Acar, A. Tuncdogan, H. Volberda, & K. de Ruyter (Eds.), The Oxford handbook of individual differences in organizational contexts. Oxford University Publications.
Sánchez-García, R., Dominguez-Rodriguez, A., Ocegueda-Miramontes, V., Aguilar, L., Rodríguez-Díaz, A., Cervera-Torres, S., & Sanchez, M. A. (in press). Human behavioral anomaly pattern mining within an IoT environment: An exploratory study. In Hurson, A. (Ed.), Advances in Computers. Elsevier. https://dx.doi.org/10.1016/bs.adcom.2023.10.003
Winkelmann, J., Leifheit, L., Belschner, S., Holz, H., Beuttler, B., Löfflad, D., & Meurers, D. (in press). Künstliche Intelligenz im MINT-Unterricht – Entwicklung einer Lehrveranstaltung für Lehramtsstudierende. Kompetenzen für den naturwissenschaftlichen Unterricht mit und über Künstliche Intelligenz Waxmann.

Scharinger, C. (in press). Potentiale neurophysiologischer Maße für Forschung zum Instruktionsdesign am Beispiel dekorativer Bilder. DFG-Projekt. Tübingen: Leibniz-Institut für Wissensmedien.