Danielle Rifinski

Reichman University

Papers

1

Total Citations

68

H-Index

1

About

Danielle Rifinski investigates the dynamics of human-human-robot interaction (HHRI), a field at the intersection of social robotics, ubiquitous computing, and collaboration tools. Her most cited work, a 2020 study with 68 citations, demonstrates that a robot’s responsive gestures during a human conversation can significantly improve interpersonal evaluations between the human participants. This finding reveals that robots are not just tools but active social agents capable of shaping the quality of human dialogue. By showing that a robotic object’s simple movements can enhance conversation quality and social bonding, Rifinski challenges traditional views of human-robot interaction, expanding it to triadic, human-human-robot contexts. Her research is pivotal for designing robots that facilitate better teamwork and social cohesion in collaborative environments. Rifinski’s contributions are essential reading for anyone interested in how social robots can mediate and improve human relationships, not just replace them.

Research Focus

Key Achievements

1
H-Index
1
Papers
68
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Human-human-robot interaction: robotic object’s responsive gestures improve interpersonal evaluation in human interaction
68 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Reichman University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago