Dan‐Cristian Dabija
Papers
3
Total Citations
840
H-Index
3
About
Dan-Cristian Dabija is a prominent researcher whose work sits at the fascinating intersection of artificial intelligence, consumer behavior, and service marketing. His scholarship explores how humans emotionally and psychologically engage with AI technologies, investigating the nuanced dynamics that shape consumer trust, acceptance, and interaction with intelligent systems. Dabija's most celebrated contribution, "What makes an AI device human-like?" (2021), has garnered an impressive 804 citations, establishing him as a leading voice in understanding how interaction quality, empathy, and perceived anthropomorphic characteristics drive AI adoption within service industries. This foundational work has sparked significant scholarly dialogue about the human dimensions of AI integration in commercial contexts. Building on this foundation, Dabija has continued to probe the emotional architecture of human-AI relationships, examining how feelings of friendship and trust influence consumers' willingness to share personal information with AI systems — a question of growing ethical and practical urgency. His more recent investigations into physical presence and relationship distance further expand our understanding of how spatial and relational factors shape effective consumer-AI-business interactions. Together, his body of work offers invaluable insights for businesses, designers, and policymakers navigating the increasingly human-centered landscape of artificial intelligence deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3