Papers

9

Total Citations

297

H-Index

6

About

Christiana Tsiourti is a researcher specializing in human-robot interaction (HRI), affective computing, and socially assistive robotics, with a particular focus on how robots can communicate emotions convincingly and integrate meaningfully into human life. Her most impactful work explores multimodal emotional expression in robots, examining how voice, body language, and contextual cues combine — or conflict — to shape human perception of robotic emotion. Her 2019 paper on multimodal emotional signal integration has garnered 180 citations, establishing her as a notable voice in emotionally expressive robot design. Tsiourti has also advanced intuitive robot teleoperation through virtual reality, developing markerless pose-imitation systems that lower barriers for novice users. Her longitudinal ethnographic studies on consumer robots like Anki Vector offer rare, grounded insights into why domestic robots struggle to achieve lasting adoption — work that bridges technical development with real-world social dynamics. Early contributions include understanding elderly users' preferences for companion robots, reflecting a consistent concern for inclusive, human-centered design. Across her career, Tsiourti has shaped foundational guidelines for building artificial agents that interact with humans in emotionally intelligent, trustworthy, and socially meaningful ways.

Research Focus

Key Achievements

6
H-Index
9
Papers
297
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots
180 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: TU Wien, University of Geneva, Medical University of Vienna, University of Coimbra

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago