Phillip Engelhardt
Papers
1
Total Citations
2
H-Index
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About
Phillip Engelhardt is a researcher at the forefront of human-robot interaction, with a particular focus on the nuanced dynamics of trust, discomfort, and communication quality in verbal exchanges with social robots. His work centers on how anthropomorphism—the attribution of human-like traits to machines—shapes user experience and voice-based interactions. In his most-cited paper, "Trust, (Dis)Comfort, and Voice Quality: Anthropomorphism in Verbal Interactions with NAO" (2024), Engelhardt explores how the NAO robot’s design influences users’ vocal patterns and emotional responses, revealing critical insights for designing more effective and empathetic robotic companions. Though early in his career, with this work already garnering attention, Engelhardt’s contributions are poised to impact fields from assistive robotics to communication studies. His research bridges psychology, engineering, and linguistics, offering a fresh perspective on how we relate to increasingly human-like machines. Engelhardt’s findings are essential for developers aiming to build robots that foster genuine trust and comfort, making him a rising voice in the ethics and design of social AI.
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Top Papers
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