Natalia Kalashnikova
Papers
2
Total Citations
6
H-Index
2
About
Natalia Kalashnikova is a pioneering researcher in the field of human-robot interaction, with a specialized focus on the acoustic and linguistic adaptations humans make when addressing robotic devices. Her work centers on the emerging domain of robot-directed speech, investigating how speakers unconsciously modify their vocal patterns when communicating with machines versus other humans. In her highly cited 2023 study, "Do We Speak to Robots Looking Like Humans As We Speak to Humans? A Study of Pitch in French Human-Machine and Human-Human Interactions," Kalashnikova demonstrated that speakers systematically alter their pitch when talking to robots, revealing fundamental differences in how we perceive and address non-human interlocutors. Building on this foundation, her subsequent work, "The Effect of Human-Likeliness in French Robot-Directed Speech: A Study of Speech Rate and Fluency," explores how a robot's anthropomorphic design influences speech rate and fluency, showing that more human-like robots elicit more natural speech patterns. With a cumulative citation count of six across these seminal papers, Kalashnikova's research provides critical insights for designing more intuitive human-robot interfaces and advancing our understanding of the psychology behind human-machine communication—work that is increasingly vital as robots become integrated into daily life.
Research Focus
Key Achievements
Top Papers
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