Carolin Kaiser is head of the Artificial Intelligence research field. As an information systems specialist, she is particularly interested in the interface between man and machine. Her current research focus is on human-centered Artificial Intelligence, Conversional User Interfaces and Human-Robot-Interaction. She addresses the question of how interaction with artificial intelligence can change the decision-making behavior of consumers and marketing managers. In her research, she explores, for example, whether emotional voice assistants can stimulate impulse purchases or whether eye contact with robots can influence purchase decisions.
Her previous research focused primarily on the analysis of social media. In cooperation with the Computer Vision Lab at the University of Augsburg and the College of Business at the University of Michigan, she explored how knowledge can be gained from user-generated photos on social media and employed in market research and marketing. This research project was awarded the BVM Innovation Prize of German Market Research in 2016 and published in various media.
Before that, the information systems graduate worked as a research assistant at the Chair of Information Systems II at the University of Erlangen-Nuremberg, where she did her doctorate in opinion mining on the web.
Contact:
carolin.kaiser <at> nim.org
Projects:
Short CV:
Publications (since 2014):
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.
Kaiser, C., Schallner, R. (2020). Artificial Voices in Human Choices. Proceedings of the 22nd General Online Research Conference, Berlin.
Kaiser. C., Schallner, R. (2020). Der Ton macht den Einkauf zum Erlebnis. planung&analyse 2/2020, pp. 84-86.
Harzig, P., Zecha, D., Lienhart, R., Kaiser, C., & Schallner, R. (2019). Image captioning with clause-focused metrics in a multi-modal setting for marketing. 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 419-424.
Schallner, R.; Kaiser, C. (2019). Mobile Detection of Visual Brand Touchpoints. Proceedings of the 21st General Online Research Conference, Cologne.
Kaiser, C.; Schallner, R.; Manewitsch, V. (2019). Revealing Consumer-Brand-Interactions from Social Media Pictures – A Case Study from the Fast-Moving Consumer Goods Industry, Proceedings of the 21st General Online Research Conference, Cologne.
Kaiser, C., Enzingmueller, L., & Schallner, R. (2018). Analyzing the temporal development of brand-related social media photos. GfK Verein Working Paper Series, 6.
Harzig, P., Brehm, S., Lienhart, R., Kaiser, C., & Schallner, R. (2018). Multimodal image captioning for marketing analysis. Proceedings of the IEEE Conference on Multimedia Information Processing and Retrieval, FL, USA.
Buder, F., Couronné, T., & Kaiser, C. (2017). Digitalization and the value of new (meta) data sources for market insights: How increasing options and new decision requirements can impact the market research value chain. Proceedings of the SAMRA Annual Conference, Cape Town.
Kaiser, C. (2017). Ein Bild sagt mehr als Tausend Worte - Neues Marketing-Wissen aus Social Media Fotos ziehen. Planung&Analyse, 1, 51-53.
Kaiser, C., & Ahuvia, A. (2017). Are Facebook brand pictures a sign of brand love? – A study on visual eWOM. Proceedings of the 3rd International Colloquium on Corporate Branding, Identity, Image and Reputation, London.
Paolanti, M., Kaiser, C., Schallner, R., Frontoni, E., & Zingaretti, P. (2017). Visual and textual sentiment analysis of brand-related social media pictures using deep convolutional neural networks. In S. Battiato , G. Gallo, R. Schettini & F. Stanco (Hrsg.), Lecture Notes in Computer Science. Presented at the International Conference on Image Analysis and Processing (S. 402–413). Catania: Springer.
Kaiser, C. (2016). Ein Bild sagt mehr als Tausend Worte. Markenartikel, 10, 62-63.
Kaiser, C., Ahuiva, A., Rauschnabel, P., & Wimble, M. (2016). Are Facebook brand photos a sign of brand love? Proceedings of the AMA Summer Marketing Educators' Conference 2016, Atlanta.
Kaiser, C., Frey, L., & Ivens, B. (2016). What photos reveal: Recognizing consumer brand relationships from social media photos. GfK Verein Working Paper Series, 2.
Kaiser, C., & Wildner, R. (2016). Gaining marketing-relevant knowledge from social media photos - A picture is worth a thousand words. Proceedings of the 2016 ESOMAR Congress, New Orleans.
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.
Kaiser, C., Frey, L., & Ivens, B., (2014). Characterizing consumer-brand-relationships in social media pictures. Proceedings of the 43rd Annual European Marketing Academy Conference, Valencia.
Kaiser, C. (2014). Soziale Medien als Mittel der Produktgestaltung (Co-Creation). In: König C., Stahl M., Wiegand E. (eds) Soziale Medien (pp. 171–194). Springer VS, Wiesbaden
