Dingju Zhu

Papers

Total Citations

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About

Dingju Zhu is a researcher whose work explores the intersection of human-robot interaction, big data, and affective computing. Among his most notable contributions is the concept of the "lie robot," introduced in his 2017 paper "Feedback Big Data-Based Lie Robot." This work challenges conventional robotics by proposing that machines should not always prioritize factual accuracy; instead, they can select responses based on user happiness, leveraging feedback big data to tailor interactions. While the paper has garnered 3 citations, its provocative premise has sparked discussion on the ethical and emotional dimensions of AI. Zhu’s research pushes boundaries in understanding how robots can engage with human emotions, moving beyond purely rational or truth-based systems. His work is particularly relevant for students and researchers interested in socially intelligent robotics, human-centered AI, and the role of deception in machine communication. By questioning the fundamental goals of robotic response systems, Zhu invites deeper inquiry into what it means for machines to interact meaningfully with people.