Fanjue Liu

About

Fanjue Liu is a rising scholar at the intersection of human-robot interaction, explainable artificial intelligence, and communication theory. Their research critically examines how social robots and AI systems communicate with humans, focusing on the transparency and interpretability of technologies like facial and speech recognition. In their highly cited 2024 work, “What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction” (7 citations), Liu investigates how revealing a robot’s sensory and decision-making processes shapes user trust and comprehension—a vital contribution as robots assume social roles. Building on foundational theory, Liu’s 2023 paper, “The Media Are Social Actors paradigm and beyond: theory, evidence, and future research” (6 citations), extends the classic “computers are social actors” framework, proposing the Media Are Social Actors (MASA) paradigm to deepen our understanding of human-machine communication. This work synthesizes decades of evidence and charts a forward-looking research agenda. With growing citation impact and a focus on making AI more transparent and socially attuned, Liu’s scholarship is shaping how we design and evaluate communicative AI systems for real-world interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   What did you hear and what did you see? Understanding the transparency of facial recognition and speech recognition systems during human–robot interaction

   7 citations · 2024
2. 2
   The Media Are Social Actors paradigm and beyond: theory, evidence, and future research

   6 citations · 2023

Key Collaborators

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