Yiling Lin

Papers

Total Citations

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About

Yiling Lin is a researcher focused on human-robot interaction, cognitive engineering, and the privacy implications of emerging AI technologies. Her work bridges the gap between human cognitive capabilities and the demands of multi-robot control systems, offering critical insights into how operators allocate attention when managing multiple autonomous agents. In her highly cited 2018 paper, "Attention allocation for human multi-robot control: Cognitive analysis based on behavior data and hidden states" (33 citations), Lin pioneered the use of behavioral data and hidden state modeling to understand operator cognitive load, providing a foundational framework for designing more intuitive human-robot interfaces. More recently, Lin has turned her attention to the growing privacy concerns surrounding AI-driven technologies. Her 2025 work, "Exploring the Antecedents and Consequences of Privacy Concerns: A Comparison of Humanoid Robot to Tablet," investigates how the physical embodiment of technology—comparing humanoid robots to tablets—shapes users' privacy perceptions and willingness to share personal information. This timely research addresses a critical societal challenge as data breaches become increasingly common. Lin's contributions are shaping both the technical design of collaborative robotic systems and the ethical deployment of AI, making her a notable voice in the responsible development of human-centered technology.