Data-driven UX & AI Research Expert at Siemens AG

About Dr. Jan Joosten 🎓

Dr. Jan Joosten’s journey from South Africa to Germany has been driven by curiosity, grit, and a hunger for meaningful experiences. After completing a Master’s degree in International Marketing at Technische Hochschule Nürnberg Georg Simon Ohm (2020–2021), Jan was inspired by the user experience (UX) and design thinking courses. His Master's thesis on „Rapid prototyping: An empirical user experience study“ introduced him to Emotion AI. This sparked a passion that led to a professional career path conducting academic and applied research with innovative and automated methods in UX research powered by artificial intelligence (AI).

From 2021 to 2024, Jan worked as a research assistant at Ohm, where he completed his Ph.D. in Economics (Wirtschaftswissenschaften) in a collaborative project with the University of Passau. His dissertation was titled: "Three Essays on AI Applications in Marketing".

Since 2024, Jan has been working at Siemens AG, focusing on data-driven UX and AI. He also serves as a lecturer at Ohm. Jan thrives on diverse challenges, ranging from UX for AI to teaching academic writing and conducting industry-relevant research. He values balancing professional growth with personal passions and lifelong learning. Outside work, he enjoys having a South African “braai” and meeting new people. Maybe you?

His mantra: "Wherever you go, go with all your heart."

🔍 MY FOCUS AREAS AND ACTIVITIES

User Experience Research

  • Utilizing innovative automated methods in triangulation for a holistic UX understanding

Affective Computing

  • Applying digital empathy to holistically measure hedonic user experiences in Human-Computer Interaction

Trust & xAI

  • Exploring the importance of user trust in AI-generated explanations

UX for AI

  • A data-driven and user-centric approach to enhance AI applications

Teaching

  • Lecturer for academic writing in international business course

Consulting

  • I consult with startups and corporates in my focus areas.

📚 PUBLICATIONS 

Peer-Reviewed Journal Publications

Joosten, J., Klug, K., Bilgram, V., & Hahn, A. (2024). Ideation: Die Qualität Menschenund KI-generierter Ideen im Vergleich. Transfer: Zeitschrift für Kommunikation & Markenmanagement70(4).

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, (5), 888-894. 

Joosten, J., Bilgram, V., Hahn, A., & Totzek, D. (2024). Comparing the Ideation Quality of Humans With Generative Artificial Intelligence. IEEE Engineering Management Review, 1–10.  https://doi.org/10.1109/EMR.2024.3353338

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, (6).

Peer-Reviewed Conference Publications

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. 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), 1–7.  https://doi.org/10.1109/ACII55700.2022.9953857

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) 2024, Augsburg.

Joosten, J., Bilgram, V., Hahn, A., & Totzek, D. (2024). Comparing the Ideation Quality of Humans With Generative Artificial Intelligence. The 53rd Annual Conference of The European Marketing Academy (EMAC) 2024, Bucharest.

Hahn, A., Joosten, J., Stein, L., (2023). Digital Empathy - Was ist das und welche Potenziale bietet es für Bio-Marketing und Bio-Kaufverhaltenssteuerung?. BIOFACH Congress, Nuremberg.

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. 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), virtual.