Jan Joosten

Academic Writing & Storytelling in 

Basic Study Techniques

("Scientific Methods and Research" and "Presentation and Communication Techniques") - Bachelor International Business

• User Experience (UX) Research
• UX for AI
• Agentic AI & LLM Systems
• Trust & Explainable AI (xAI)
• Affective Computing & Digital Empathy
• AI in Marketing & Innovation

Basic Study Techniques

("Scientific Methods and Research" and "Presentation and Communication Techniques") - Bachelor International Business

Peer-Reviewed Journal Publications

Kulyabin, M., Joosten, J., Ulan uulu, C., Martins Pacheco, N. M., Ries, F., Petridis, F., Bosch, J., & Holmström Olsson, H. (2026). User eXperience Perception Insights Dataset (UXPID): Synthetic user feedback from public industrial forums. Scientific Data, 13(1), Article 762.  https://doi.org/10.1038/s41597-026-07253-9

Joosten, J., Bilgram, V., Hahn, A., & Totzek, D. (2024). Comparing the ideation quality of humans with generative artificial intelligence. IEEE Engineering Management Review, 52(2), 153–164.  https://doi.org/10.1109/EMR.2024.3353338

Joosten, J., Hahn, A., Klug, K., Riedmüller, F., & Totzek, D. (2024). Toward a digital empathy framework: Evaluating user experience research methods. Marketing Review St. Gallen, 2024(5).

Joosten, J., Klug, K., Bilgram, V., & Hahn, A. (2024). Ideation: Die Qualität Mensch- und KI-generierter Ideen im Vergleich. Transfer: Zeitschrift für Kommunikation & Markenmanagement, 70(4).

Ahnfeld, T., Hahn, A., Joosten, J., Klug, K., & Totzek, D. (2023). Testing social media advertising effectiveness with multi-method user experience research. Marketing Review St. Gallen, 40(6), 32–39.

Peer-Reviewed Conference Publications

Ulan uulu, C., Kulyabin, M., Etaiwi, L., Martins Pacheco, N. M., Joosten, J., Röse, K., Petridis, F., Bosch, J., & Holmström Olsson, H. (2025). AI for better UX in computer-aided engineering: Is academia catching up with industry demands? A multivocal literature review. In Lecture Notes in Computer Science: Software Engineering and Advanced Applications (SEAA) (pp. 298–312). Springer Nature Switzerland.  https://doi.org/10.1007/978-3-032-04200-2_20

Cosmann, N., Haberkern, J., Hahn, A., Harms, P., Joosten, J., Klug, K., & Kollischan, T. (2022). The value of mood measurement for regulating negative influences of social media usage: A case study of TikTok. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1–7). IEEE.  https://doi.org/10.1109/ACII55700.2022.9953857

Book Chapters

Joosten, J., Klug, K., Hahn, A., & Bilgram, V. (2026). Embracing digital empathy: Emotion AI — Concept, use cases, and developments. In M. Westner, A. Hahn, G. Singer, R. Zhou, G. Wimmer, L. Zhou, & B. Huang (Eds.), Artificial intelligence in business and engineering. Kohlhammer Verlag.

Joosten, J., Hahn, A., & Klug, K. (2026). Customer-Centricity-Research-Methoden: Wie sich User Experience (besser) messen lässt. In Marketing & Sales Innovation 2026 (FOM-Edition, pp. 85–98). Springer Fachmedien Wiesbaden.  https://doi.org/10.1007/978-3-658-49537-4_5

Preprints

Ulan uulu, C., Martins Pacheco, N. M., Joosten, J., Steinke, I., Kulyabin, M., Petridis, F., Michel, L., Bosch, J., & Holmström Olsson, H. (2026). Mental models as blueprints for industrial explainable AI use cases and UX designs. SSRN.  https://doi.org/10.2139/ssrn.6368072

Kulyabin, M., Fuhrmann, I., Joosten, J., Martins Pacheco, N. M., Petridis, F., Johnson, R., et al. (2026). How to build AI agents by augmenting LLMs with codified human expert domain knowledge? A software engineering framework. arXiv. arXiv:2601.15153

Kulyabin, M., Zeiner, K. M., Joosten, J., Martins Pacheco, N. M., Petridis, F., Johnson, R., et al. (2026). Tables or Sankey diagrams? Investigating user interaction with different representations of simulation parameters. arXiv. arXiv:2601.10232

Talks & Conference Presentations

Joosten, J., Hahn, A., Totzek, D., & Gaugler, T. (2024). True cost pricing: The impact of emotions on price perceptions. 10th Conference of the Bavarian Service Research Cluster (BSRC), Augsburg.

Joosten, J., Bilgram, V., Hahn, A., & Totzek, D. (2024). Comparing the ideation quality of humans with generative AI. 53rd Annual Conference of the European Marketing Academy (EMAC), Bucharest.

Hahn, A., Joosten, J., & Stein, L. (2023). Digital empathy — Potenziale für Bio-Marketing. BIOFACH Congress, Nuremberg.

Doctoral Dissertation

Joosten, J. (2025). Three essays on AI applications in marketing [Doctoral dissertation, Universität Passau, in cooperation with TH Nürnberg Georg Simon Ohm].