Head of Artificial Intelligence
Dr. Carolin Kaiser
Dr. Carolin Kaiser is Head of the Human Technology Interaction research group at the Nuremberg Institute for Market Decisions (NIM). Her research examines the role of emerging technologies in consumer contexts, with a particular focus on human interaction behavior. She combines behavioral science and design-oriented approaches to analyze how chatbots and social robots influence consumers. A key focus of her work is the development and application of innovative methods for generating consumer insights, particularly through the use of synthetic respondents.
In addition, she is a visiting researcher at the Chair of Information Systems I – Innovation and Value Creation at Friedrich-Alexander University Erlangen-Nuremberg (FAU) and serves as a delegate on the advisory board of the German Association of Market and Social Researchers (BVM). Her research has received several awards, including the BVM Innovation Award and Best Paper Awards from the European Conference on Information Systems and the ACM International Conference on User Modeling, Adaptation and Personalization. She completed her PhD in automated opinion mining on the web at FAU with summa cum laude; her dissertation was also honored with the FAU WISO Faculty Women’s Award.
Her work has been published in international academic journals such as Journal of Business Research, Internet Research, Information Systems and E-Business Management, and Knowledge-Based Systems, as well as presented at leading conferences including the European Conference on Information Systems (ECIS) and the ACM CHI Conference on Human Factors in Computing Systems. In addition, she regularly speaks and serves as a panelist at academic and industry events.
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Current projects
- ChatGPT in Consumer Decision-Making
- AI-generated respondents
- Friend vs. Sales Assistant
- Maximizing E-commerce Sales
- The Impact of Generative AI Shopping Assistants on Consumer Decision-making
- The Human Factor in Virtual Influence
- Emotional vs Rational Robot Shopping Assistants
- Decision support at the point of sale through social robots
- AI at the Point of Sale
- Shopping Companions
- Digital Nudges for Sustainable Online Shopping
- Purpose Through the Digital Lens
- Trust: How Does Eye Contact Influence the Relationship Between Humans and Robots in Purchase Decisions?
- Artificial Voices in Human Choices
- Mobile Detection of Visual Brand Touchpoints
- Automatic Image Analysis in Social Media
- Gaining Marketing Knowledge from Social Media Images
Selected publications
- Kaiser, C., Ahuvia, A., Rauschnabel, P. A., & Wimble, M. (2020). Social media monitoring: What can marketers learn from Facebook brand photos? Journal of Business Research, 117, 707–717.
- Engel, D., Woolley, A. W., Aggarwal, I., Chabris, C. F., Takahashi, M., Nemoto, K., Kaiser, C., Kim, Y. J., & Malone, T. W. (2015). Collective intelligence in computer-mediated collaboration emerges in different contexts and cultures. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 3769–3778.