Papers
5
Total Citations
849
H-Index
4
About
Irina Ene is a leading researcher at the intersection of artificial intelligence, consumer psychology, and human-computer interaction. Her work fundamentally explores how consumers perceive and accept AI devices, with a particular focus on anthropomorphic design—the human-like qualities that make technology feel more relatable. Ene’s most influential contribution is her 2021 study on what makes an AI device seem human-like, which has garnered over 800 citations. This research demonstrates that interaction quality, empathy, and perceived psychological anthropomorphic characteristics are critical drivers of AI acceptance in service industries. Beyond this landmark paper, Ene has employed innovative methodologies, including eye-tracking experiments, to study consumers’ unconscious reactions to anthropomorphic AI appearances, and has used discriminant analysis to understand how emerging AI forms reshape consumer-company interactions. Her work bridges qualitative and quantitative approaches, offering deep insights into how businesses can design more engaging, trusted AI systems. Ene’s research is essential reading for scholars and practitioners interested in the psychological and behavioral foundations of human-AI relationships.
Research Focus
Key Achievements
Top Papers
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- 2Consumers’ perception on human-like artificial intelligence devices30 citations · 2018
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