Jan is a data-driven user experience (UX) and artificial
intelligence (AI) research expert at Siemens AG.
His PhD work explored the intersection of marketing, user
experience research, and AI applications. With a strong focus
on digital empathy, he is particularly interested in how these
concepts shape modern user behavior and decision-making.
He frequently presents his research at international conferences and collaborates with industry leaders to translate academic insights into real-world applications.
I help product teams make smarter decisions through human-centered insights and data clarity
🔍 KEY FOCUS AREAS
User Experience Research (UXR)
Harnessing innovative qualitative, quantitative, and automated UX research methods through triangulation to gain deep, actionable insights into user behavior and experience. My goal: delivering a comprehensive understanding of real-world user interactions to inform design and strategy.
Affective Computing & Emotional UX
Integrating affective computing and digital empathy into UX design to uncover how users emotionally respond to interfaces. We explore the role of hedonic experiences in Human-Computer Interaction (HCI), elevating user satisfaction and emotional engagement.
UX for Artificial Intelligence (AI)
Designing AI applications with a human-centered UX approach. We focus on creating intuitive, explainable, and accessible AI systems by aligning UX design with data-driven insights to maximize usability and user success.
Trust, Transparency & Explainable AI (xAI)
Investigating user trust in AI through transparent design and explainable AI principles. We explore how users perceive and engage with AI-generated content and decisions, aiming to build ethical, trustworthy AI systems.
