Giulia Kondort

Bucharest University of Economic Studies

Papers

Total Citations

H-Index

About

Giulia Kondort is a rising scholar at the intersection of consumer behavior and artificial intelligence, whose work illuminates how people form relationships with increasingly sophisticated technologies. Her research centers on the psychological and social factors that predict successful consumer-AI interactions, exploring the spectrum from basic transactional exchanges to deeply empathetic connections between humans and machines. In her most-cited paper, "Factors Predicting Consumer-AI Interactions" (2023), Kondort provides a foundational framework for understanding how AI and robots assume different relational roles—from simple service agents to companions capable of emotional resonance. Though early in her career, her work has already garnered 7 citations, signaling growing influence in this rapidly expanding field. Kondort’s contributions are particularly timely as AI becomes embedded in daily life, offering critical insights for designers, marketers, and policymakers seeking to foster trust and meaningful engagement between consumers and intelligent systems. Her research promises to shape how we think about the future of human-machine relationships.