Mira Biehler
Papers
1
Total Citations
2
H-Index
1
About
Mira Biehler investigates the intersection of human-robot interaction, trust, and voice quality, with a particular focus on how anthropomorphism shapes verbal exchanges between people and social robots. Her most-cited work, "Trust, (Dis)Comfort, and Voice Quality: Anthropomorphism in Verbal Interactions with NAO" (2024), explores the nuanced dynamics of how users’ perceptions of a robot’s human-likeness influence their trust and comfort during spoken dialogue. By analyzing voice quality as a behavioral marker, Biehler provides empirical insights into the subtle psychological and acoustic cues that mediate human-robot trust—a critical contribution to designing more natural and effective communication interfaces. Though her citation count is still emerging, her research addresses foundational questions in social robotics, with implications for assistive technologies, education, and therapeutic applications. Biehler’s work stands out for its interdisciplinary approach, bridging cognitive science, linguistics, and engineering to advance our understanding of how robots can be perceived as trustworthy conversational partners. As the field of human-robot interaction grows, her findings offer a valuable framework for designing robots that communicate with greater sensitivity to human social expectations.
Research Focus
Key Achievements
Top Papers
- 1