Evangelia Psylla

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About

Evangelia Psylla is a leading researcher at the intersection of human-computer interaction, consumer behavior, and service robotics. Her work primarily explores how Social Internet of Things (SIoT) robots shape consumer experiences, particularly in retail and service environments. Psylla’s most-cited paper, “SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm” (2023, 29 citations), is a cornerstone contribution that applies the CASA framework to understand how consumers anthropomorphize robots and how this influences repeat purchase intentions. This study has been instrumental in bridging theoretical models of social response with practical retail applications, offering actionable insights for designing more engaging and trust-building robotic assistants. Her research is notable for its interdisciplinary approach, merging insights from psychology, marketing, and AI. Psylla’s work has already garnered attention for its timely relevance as robotics become ubiquitous in consumer spaces, and she is recognized for advancing empirical understanding of human-robot interaction in commercial contexts. Her findings are shaping how businesses deploy SIoT technologies to enhance customer loyalty and satisfaction.