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.
Publications
Direct links to journal articles and current work on human-centered AI, technology adoption, and human-machine collaboration.
Latest publication in IJRM
Integrating GenAI interactions in marketing studies: A methodological guide
Presents a practical framework for integrating generative AI interactions into marketing studies, including implementation ideas for search assistants, automated interviews, co-creation tasks, and personalized messaging.
2025
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.
2024
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.
2023
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.
2023
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.
2022
“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.
2019
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
Let’s collaborate
For research collaborations, invited talks, doctoral exchange, teaching conversations, or media requests, feel free to reach out directly. I am always interested in thoughtful collaborations at the intersection of technology, consumer behavior, and society.