Anouk Bergner
Anouk Bergner is a Research Associate of the TechX lab and a PhD candidate of the Institute of Marketing at the University of St. Gallen. Her main research focus is in human – technology interactions and the downstream consequences on consumer behavior and decision-making. She is especially interested in the concept of mind perception in AI-based smart objects and conversational interfaces (e.g. chatbots and voicebots), and the factors influencing our affective experiences with new technologies.
Anouk graduated from Princeton University with a Bachelor’s degree in Cognitive Psychology and obtained a Masters of Science degree in Decision Sciences from the London School of Economics. She then spent several years in research oriented roles at the Procter & Gamble Company and Coty Inc. before returning to academia to pursue her PhD.
Publications
Bergner, A., Hildebrand, C., & Häubl, G. (2019). Conversational Interfaces as Persuasion Instruments: Implications for Consumer Choice and Brand Perceptions (Special Session on “The Machine Age of Consumer Research: How Robot-Based Expression Modalities Alter Perception and Choice”). Proceedings of the Association for Consumer Research Conference, Atlanta, USA.
Hildebrand, C., & Bergner, A. (2019). Detrimental Trust in Automation: How Conversational Robo Advisors Leverage Trust and Miscalibrated Risk Taking (Special Session on “Persuasion Dynamics of Technology-Mediated Social Presence in Consumer-Firm Interactions”). Proceedings of Association for Consumer Research Conference, Atlanta, USA.
Bergner, A., Hildebrand, C., & Häubl, G. (2019). Machine Talk: How Conversational Interfaces Promote Brand Intimacy and Influence Consumer Choice. Proceedings of the Society for Consumer Psychology Conference, Savannah, USA.
Hildebrand, C., & Bergner, A. (2019). Detrimental Trust in Automation: How Conversational Robo Advisors Leverage Trust and Miscalibrated Risk Taking. Proceedings of the Society for Consumer Psychology Conference, Savannah, USA.
Bergner, A. S., Oppenheimer, D. M., & Detre, G. (2019). VAMP (Voting Agent Model of Preferences): A Computational Model of Individual Multi-attribute Choice. Cognition.
Bergner (Schneider), A., & Oppenheimer, D. M. (2007). Application of voting geometry to multialternative choice. Proceedings of the 29th Annual Meeting of the Cognitive Science Society.
