Shannon Hennig
Papers
1
Total Citations
9
H-Index
1
About
Shannon Hennig explores the intersection of speech technology and human-robot interaction, with a focus on how synthetic voices shape user perceptions. Her most cited work, "Expressive synthetic voices: Considerations for human robot interaction" (2012, 9 citations), examines the nuanced ways humans interpret paralinguistic cues—such as tone, pitch, and emotion—in robotic speech. Hennig’s research reveals that perceptions of spoken interaction are not solely dependent on linguistic content but are influenced by a complex interplay of vocal expressiveness, context, and user expectations. By identifying key factors that affect how people respond to expressive synthetic voices, she contributes foundational insights for designing more intuitive and socially acceptable robots. Her work bridges gaps between speech synthesis development and human-centered design, offering practical considerations for engineers and researchers aiming to improve human-robot communication. Though early in her career, Hennig’s focus on the subtle dynamics of vocal interaction highlights critical challenges in making robots more relatable and effective partners in social settings.
Research Focus
Key Achievements
Top Papers
- 1Expressive synthetic voices: Considerations for human robot interaction9 citations · 2012