Papers
1
Total Citations
85
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About
Ziming Wu is a leading researcher in human-robot interaction, with a particular focus on designing service robots that can effectively support human decision-making. Their most cited work, "Design and Evaluation of Service Robot's Proactivity in Decision-Making Support Process" (2019, 85 citations), investigates how a robot's level of proactivity—whether it offers unsolicited recommendations or waits for user requests—shapes user experience and trust in public settings like retail environments. This foundational study has influenced subsequent work on adaptive robot behavior, demonstrating that the timing and manner of assistance are as critical as the information itself. Wu's research bridges robotics, cognitive science, and user experience design, offering practical guidelines for creating robots that are helpful without being intrusive. By systematically evaluating how proactive versus reactive assistance impacts decision-making outcomes, Wu has provided key insights for deploying service robots in real-world contexts, from shopping assistants to information kiosks. Their work continues to shape how researchers and engineers approach the delicate balance between robot autonomy and user control.
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