Martina Cvajner
Papers
1
Total Citations
6
H-Index
1
About
Martina Cvajner’s research lies at the intersection of human-robot interaction, social robotics, and multimodal design, with a focus on how people perceive and respond to robotic agents. Her most notable contribution is a mixed-methods study examining the critical alignment between a robot’s voice and its physical appearance—a largely underexplored area in HRI. By demonstrating that mismatched vocal and visual cues can disrupt user expectations and trust, Cvajner’s work provides foundational guidelines for designing more coherent and socially acceptable robots. Her 2024 paper, which has already garnered 6 citations, is gaining traction in both academic and applied robotics communities for its practical implications. Beyond this, Cvajner’s broader research explores how mental models of robots are shaped by sensory inputs, contributing to more intuitive and human-centered design. Her achievements include advancing the methodological toolkit for HRI by integrating qualitative and quantitative approaches, and her findings are increasingly referenced in workshops on robot aesthetics and voice design. For students and researchers, Cvajner’s work is a compelling reminder that even subtle design choices—like a robot’s voice—can profoundly shape human-robot relationships.
Research Focus
Key Achievements
Top Papers
- 1