Papers
2
Total Citations
131
H-Index
2
About
Luling Huang is a pioneering researcher at the intersection of human-computer interaction, social robotics, and explainable artificial intelligence. Her work fundamentally rethinks how people perceive and respond to intelligent machines, challenging conventional boundaries between human and machine social dynamics. Huang’s most influential contribution, "Deep mind in social responses to technologies" (2022, 124 citations), introduces a groundbreaking framework that extends the Computers are Social Actors paradigm, proposing that users attribute a form of "deep mind" to technologies—a concept that has reshaped theoretical approaches to human-robot interaction. Her recent study on transparency in facial and speech recognition systems during human-robot interaction (2024) addresses a critical societal need: as robots assume roles in healthcare, education, and public service, understanding how transparency about their inner workings affects user trust and acceptance becomes paramount. Huang’s work is notable for bridging cognitive science, AI ethics, and practical design, offering both theoretical depth and actionable insights for developing more trustworthy, socially adept robots. Her research continues to influence how we design machines that are not only intelligent but also socially transparent and relatable.
Research Focus
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Top Papers
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