Spee, B. T. M., Leder, H., Mikuni, J., Scharnowski, F., Pelowski, M., & Steyrl, D. (2024). Using Machine Learning to Predict Judgments on Western Visual Art Along Content-Representational and Formal-Perceptual Attributes. PLoS ONE, 19(9), Artikel e0304285. https://doi.org/10.1371/journal.pone.0304285, https://doi.org/10.1371/journal.pone.0304285

Pelowski, M., Cotter, K., Specker, E., Fingerhut, J., Trupp, M., & Speidel, K. (2024). How lasting is the impact of art? An Exploratory Study of the Incidence and Duration of Art Exhibition-Induced Prosocial Attitude Change Using a 2-Week Daily Diary Method. Psychology of Aesthetics, Creativity, and the Arts. Vorzeitige Online-Publikation. https://doi.org/10.1037/aca0000670

Mikuni, J., Spee, B. T. M., Forlani, G., Leder, H., Scharnowski, F., Nakamura, K., Watanabe, K., Kawabata, H., Pelowski, M., & Steyrl, D. (2024). Cross-Cultural Comparison of Beauty Judgments in Visual Art Using Machine Learning Analysis of Art Attribute Predictors Among Japanese and German Speakers. Scientific Reports, 14(1), Artikel 15948. https://doi.org/10.1038/S41598-024-65088-Z

Pelowski, M., Angermair, P., Schmid, F. R., Crone, J. S., & Spee, B. T. M. (2024). Unlocking the Muse: Neue Einblicke zu Kreativität, künstlerischem Ausdruck und Morbus Parkinson. Psychologie in Österreich, 44(2), 120-127.

Spee, B. T. M., Arato, J., Mikuni, J., Tran, U., Pelowski, M., & Leder, H. (2024). The dynamics of experiencing Gestalt and Aha in cubist art: pupil responses and art evaluations show a complex interplay of task, stimuli content, and time course. Frontiers in Psychology, 15, 01-15. Artikel 1192565. https://doi.org/10.3389/fpsyg.2024.1192565

Benvenuti, M., Scorolli, C., Di Iorio, A., Pelowski, M., & Chirico, A. (2024). Emerging technologies in varied domains: Perspectives and future research directions. Computers in Human Behavior, 151, Artikel 108016. https://doi.org/10.1016/j.chb.2023.108016

Leder, H., & Pelowski, M. (2024). Metaphors or mechanism? Predictive coding and a (brief) history of empirical study of the arts. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Artikel 20220427. https://doi.org/10.1098/rstb.2022.0427

Cabbai, G., Kühnapfel, C., Prinz, J., Kaltwasser, L., Fingerhut, J., & Pelowski, M. (Angenommen/Im Druck). Emotion, Embodiment, and Aesthetic Appraisal: The Impact of Interoceptive Abilities and Art Type. Psychology of Aesthetics, Creativity, and the Arts.

Kühnapfel, C., Fingerhut, J., Brinkmann, H., Ganster, V., Tanaka, T., Specker, E., Mikuni, J., Güldenpfennig, F., Gartus, A., Rosenberg, R., & Pelowski, M. (2024). How Do We Move in Front of Art? How Does This Relate to Art Experience? Linking Movement, Eye Tracking, Emotion, and Evaluations in a Gallery-Like Setting. Empirical Studies of the Arts, 42(1), 86-146. https://doi.org/10.1177/02762374231160000

Beder, D., Pelowski, M., & Imamoğlu, Ç. (Angenommen/Im Druck). Influence of Complexity and Gestalt Principles on Aesthetic Preferences for Building Façades: An Eye Tracking Study. Journal of Eye Movement Research.

Pelowski, M., Spee, B. T. M., Arato, J., Dörflinger, F., Ishizu, T., & Richard, A. (2024). Measures, constructs, and constructing measurement: Reply to comments on “Can we really ‘read’ art to see the changing brain?”. Physics of Life Reviews, 48, 22-30. https://doi.org/10.1016/j.plrev.2023.11.012

Stamkou, E., Rohan, D., Pelowski, M., Lin, Y., & Gelfand, M. J. (2024). When rule breaking in art falls flat: Cultural tightness deflates deviant artists’ impact. Psychology of Aesthetics, Creativity, and the Arts, 18(1), 14-30. https://doi.org/10.1037/aca0000650

Stap, T., Koksma, J.-J., Crone, J. S., Pelowski, M., Bloem, B. R., & Spee, B. T. M. (2023). Unlocking the muse - Developing arts-based approaches for people with Parkinson’s disease. International Journal of Integrated Care, 23, 696. https://doi.org/10.5334/ijic.ICIC23602

Demmer, T. R., Kühnapfel, C., Fingerhut, J., & Pelowski, M. (2023). Does an emotional connection to art really require a human artist? Emotion and intentionality responses to AI- versus human-created art and impact on aesthetic experience. Computers in Human Behavior, 148, Artikel 107875. https://doi.org/10.1016/j.chb.2023.107875

Valuch, C., Pelowski, M., Peltoketo, V.-T., Hakala, J., & Leder, H. (2023). Let's put a smile on that face-A positive facial expression improves aesthetics of portrait photographs. Royal Society Open Science, 10(10), Artikel 230413. https://doi.org/10.1098/rsos.230413

Spee, B. T. M., Mikuni, J., Leder, H., Scharnowski, F., Pelowski, M., & Steyrl, D. (2023). Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. Scientific Reports, 13(1), Artikel 12966. https://doi.org/10.1038/s41598-023-39865-1

Trupp, M. D., Bignardi, G., Specker, E., Vessel, E. A., & Pelowski, M. (2023). Who benefits from online art viewing, and how: The role of pleasure, meaningfulness, and trait aesthetic responsiveness in computer-based art interventions for well-being. Computers in Human Behavior, 145, Artikel 107764. https://doi.org/10.1016/j.chb.2023.107764

Kühnapfel, C., Fingerhut, J., & Pelowski, M. (2023). The role of the body in the experience of installation art: a case study of visitors’ bodily, emotional, and transformative experiences in Tomás Saraceno’s “in orbit”. Frontiers in Psychology, 14, Artikel 1192689. https://doi.org/10.3389/fpsyg.2023.1192689