Yolanda Vazquez-Alvarez

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About

Yolanda Vazquez-Alvarez investigates the intersection of human-robot interaction and voice technology, exploring how robots communicate and form personalities. Her major contributions center on the personification of robotic systems through voice and non-vocal behaviors, particularly examining the tensions that arise when a robot’s form and language capabilities clash. In her highly cited work, *“The Right Kind of Unnatural”* (2019, 30 citations), she reveals how any voice-enabled system becomes anthropomorphized, creating unique challenges for robots whose physical design and behaviors also convey personality. Her research on *“Creating Robot Personality”* (2020, 10 citations) draws inspiration from iconic film robots like R2-D2 and WALL-E, demonstrating how semantic-free utterances—squeaks, clicks, and tones—can serve as powerful audio gestures to communicate emotion and build trust. By analyzing these audio cues, Vazquez-Alvarez provides foundational insights for designing more intuitive and emotionally resonant robotic companions. Her work is essential for researchers developing socially interactive robots, offering a framework to harmonize vocal and physical personality traits for improved user acceptance and engagement.