Papers

2

Total Citations

85

H-Index

2

About

Rumen Pozharliev is a researcher at the forefront of human-robot interaction in service contexts, with a particular focus on consumer psychology and emotional responses to emerging technologies. His work sits at the compelling intersection of affective science, consumer behavior, and the rapidly evolving field of service robotics, exploring how customers emotionally, attitudinally, and behaviorally respond when engaging with frontline service robots versus human employees. A defining contribution of Pozharliev's scholarship is his investigation of how individual psychological differences — most notably attachment styles — shape consumer experiences with robotic service agents. His 2021 paper examining how attachment styles moderate customer responses to frontline service robots has garnered 75 citations, establishing him as a key voice in understanding why not all consumers react uniformly to robot-delivered service. Complementing this, his research on anxious attachment and physiological emotional responses further demonstrates his commitment to rigorous, psychophysiological measurement in consumer research. Pozharliev's work carries significant practical implications for businesses deploying AI and robotic technologies in customer-facing roles, offering nuanced insights into personalization and service design. His scholarship equips both industry practitioners and fellow researchers with a deeper understanding of the human dimension in automated service environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
85
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Attachment styles moderate customer responses to frontline service robots: Evidence from affective, attitudinal, and behavioral measures
75 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Libera Università Internazionale degli Studi Sociali Guido Carli

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago