Miriam Veneziano
Papers
1
Total Citations
2
H-Index
1
About
Miriam Veneziano is a researcher at the intersection of human-computer interaction, child-computer interaction, and voice user interfaces. Her work focuses on understanding how children perceive and engage with interactive dialogue systems, particularly virtual agents. In her most-cited pilot study, she investigated the factors shaping children's first impressions of such systems, exploring how a child’s willingness to interact and the perceived intelligibility of a synthetic voice influence engagement. Conducted with 20 children aged 7–9, the study revealed critical insights into the subtle social and cognitive dynamics that determine whether a child trusts or rejects a digital interlocutor. With over 2 citations in a short time, this work signals growing interest in designing more inclusive, child-friendly AI. Veneziano’s research is vital for developers of educational technology, virtual assistants, and interactive storytelling platforms, offering evidence-based guidance on how voice design and interaction cues can foster positive, productive exchanges with young users. Her contributions help bridge the gap between adult-centric AI design and the unique needs of children as interactive partners.
Research Focus
Key Achievements
Top Papers
- 1