Murayama, K., & von Keyserlingk, L. (2025). A critical analysis of the current motivation theories in educational psychology: Why the same theories continue to dominate. [Preprint]. OSF.
Ten, A., Oudeyer, P.-Y., Sakaki, M., & Murayama, K. (2024). The curious U: Integrating theories linking knowledge and information-seeking behavior. [Preprint]. PsyArXiv.
Lavelle-Hill, R. E., Smith, G., & Murayama, K. (2024). An explainable AI handbook for psychologists: Methods, opportunities, and challenges. [Preprint]. Open Science Framework.
Tamai, R., Shigemasu, H., & Murayama, K. (2023). Deciphering morbid curiosity: Psychological mechanisms underlying the voluntary viewing of negative images. [Preprint]. PsyArXiv.
Lavelle-Hill, R. E., Smith, G., & Murayama, K. (2023). Machine learning meets traditional statistical methods in psychology: Challenges and future directions [Preprint]. Open Science Framework.
FitzGibbon, L., Ogulumus, C., Fastrich, G. M., Lau, J. K. L., Aslan, S., Lepore, L., & Murayama, K. (2020). Understanding the forbidden fruit effect: People’s desire to see what is forbidden and unavailable. [Preprint]. Open Science Framework.
Burgess, L. G., McNabb, C. B., FitzGibbon, L., Mulligan, N., Fancourt, A., Riddell, P., & Murayama, K. (2020). Friendship networks and academic motivation: A longitudinal investigation examining selection and influence processes in adolescents. [Preprint]. Open Science Framework.
Fastrich, G. M., & Murayama, K. (2018). Curiosity carry-over effect. [Preprint]. Open Science Framework.
Kou Murayama
Hector Research Institute of Education Sciences and Psychology
University of Tübingen
Tübingen, Germany
ed.negnibeut-inu@amayarum.k