Shoya Ishimaru

Papers

Total Citations

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About

Shoya Ishimaru is a leading researcher at the intersection of human-computer interaction, affective computing, and computer vision, with a particular focus on understanding and modeling human gaze behavior. His most influential work, "Gaze Generation for Avatars Using GANs" (2024), tackles the fundamental challenge of creating realistic, socially-aware eye movements for animated avatars—a critical component for natural human-machine communication. By leveraging generative adversarial networks, Ishimaru’s research demonstrates how the subtle interplay of aimed and subconscious gaze control can be computationally modeled to nonverbally manage turn-taking and convey emotional states. While his citation count is still growing, this work has already garnered 5 citations, signaling its emerging impact on both the graphics and HCI communities. Ishimaru’s contributions are particularly notable for bridging the gap between cognitive science insights into gaze behavior—including its role in diagnosing neurological disorders—and practical, deployable AI systems. His research promises to make virtual interactions more authentic, with applications ranging from telepresence to assistive technologies.