Generative AI as a research topic
I investigate how the design of generative AI systems influences human behavior and decision-making, and how these systems can be crafted to foster trust, collaboration, and better outcomes in human–AI partnerships.
Research & Publications
GenAI as a research method
I explore how generative AI can act as an interviewer to study human experiences and social dynamics, offering new ways to gather insights and understand complex interactions between people and intelligent technologies.
Human–AI Collaboration
I study how humans and AI can work together most effectively by leveraging their complementary strengths. My research focuses on designing collaboration processes and systems that enhance mutual understanding, trust, and performance in human–AI partnerships.
Prosocial technology design
I test how prosocial framing, transparency, and human-in-the-loop controls motivate people to disclose data, comply with safeguards, and trust technology solutions that serve the greater good.
Selected Publications
A selection of peer-reviewed articles and working papers exploring ethical technology adoption, human-machine collaboration, and consumer perception. Full publication list is available on Google Scholar.
Student (Mis)Use of Generative AI Tools for University-Related Tasks
Extends the Technology Acceptance Model to quantify drivers of responsible AI use in higher education and estimate cheating prevalence in exams.
A matter of perspective: Technology contributions are assessed differently from manager and consumer perspectives
Demonstrates how efficiency framing closes the perception gap between managers and consumers when evaluating technology-led innovation.
People devalue generative AI’s competence but not its advice in addressing societal and personal challenges
Shows that awareness of AI authorship reduces perceived competence without diminishing the willingness to follow AI advice, highlighting nuanced AI aversion.
To disclose or not to disclose?: Factors related to the willingness to disclose information to a COVID-19 tracing app
Identifies prosocial benefit framing, institutional trust, and perceived ease of use as levers that increase disclosure in tracing apps.
“My colleague is a robot”: exploring frontline employees' willingness to work with collaborative service robots
Unpacks employee personas and appraisal processes that drive willingness to collaborate with service robots in frontline roles.
Service Robots: Drivers of Perceived Responsibility for Service Outcomes
Explores how autonomy and psychological ownership shift responsibility attribution in human-robot service encounters.
Honors & Affiliations
- Best Paper Award · La Londe Consumer Behavior Conference (2025)
- Finalist, Best Paper Award · Journal of Service Research (2019)
- 4-month research stipend · Kellogg School of Management, DAAD (2019)
- Publication Prize for Ethical & Social Responsibility Research · RWTH Aachen University (2019)
- Organizing Committee · EMAC Consumer Behavior Special Interest Group
GenAI Solutions
GenAI Teaching Innovations
I design hands-on learning experiences with the support of GenAI and with GenAI at the core of marketing education—from market segmentation games to thesis ideation copilots and qualitative analysis tools that allow class interactions and comparisons.
Market Segmentation Game
An interactive classroom game where students run live segmentation experiments using GenAI personas and feedback loops to explore positioning strategies.
View projectThesis Topic Navigator
A GenAI sparring partner that blends retrieval-augmented research reviews with reflective prompts to help students converge on meaningful thesis ideas.
View projectCollaborative Qual Coding Coach
A qualitative analysis assistant that compares interview coding across students, highlights divergences, and guides methodical sense making.
View projectOpen API E-commerce Sandbox
A teaching-ready environment for prototyping GenAI-enhanced storefronts, integrating external APIs, and experimenting with own website coding with GenAI.
View projectGenAI for Organizations
I partner with marketing, insight, and learning teams to prototype and deploy human-centered generative AI solutions—grounded in rigorous research design.
GenAI research copilots
Custom GPT/RAG interview assistants and qualitative coding pipelines that speed up market research while keeping human oversight central.
AI-powered company chatbots
Deploy branded assistants that connect to your data sources, answer customer or employee questions, and surface insight handoffs for your team.
Hands-on GenAI workshops
Practical sessions on using GenAI for web design sprints, API-connected automations, and learning from unstructured data—built around your team’s context.
Understanding unstructured data with GenAI
Integrating GenAI solutions that analyze text and other unstructured inputs—such as customer feedback—and infuse the insights into company dashboards for better decision making.
Curious about a prototype or implementation? Let’s build a GenAI solution together.
Let’s collaborate
For research partnerships, GenAI-powered market research, hands-on teaching, or custom AI tool development, feel free to reach out directly. I’m keen to explore projects that bridge human insight and technological innovation.