Ellen Dossey
Papers
1
Total Citations
3
H-Index
1
About
Ellen Dossey is a researcher at the forefront of human-computer interaction and speech technology, with a particular focus on how individuals perceive and evaluate synthetic voices. Her most-cited work, "Social evaluation of text-to-speech voices by adults and children" (2024), has already garnered 3 citations, marking an early but significant impact in this emerging field. Dossey’s research explores the nuanced social judgments people—both adults and children—make when listening to text-to-speech systems, addressing critical questions about trust, credibility, and user experience. By bridging developmental psychology and artificial intelligence, she sheds light on how age influences the acceptance of synthetic voices, a key consideration for designing inclusive voice interfaces. Her work has implications for education, assistive technologies, and digital assistants, where voice quality can shape user engagement and learning outcomes. Though early in her career, Dossey’s contributions are paving the way for more human-centered speech synthesis, ensuring that these technologies are not only functional but also socially resonant. Her findings are already informing developers and researchers seeking to create voices that are both effective and socially acceptable across diverse user groups.
Research Focus
Key Achievements
Top Papers
- 1Social evaluation of text-to-speech voices by adults and children3 citations · 2024