Keigo Minamida (南田桂吾) is a first-year doctoral student at the Graduate School of Interdisciplinary Information Studies, The University of Tokyo, in the Ishiguro Laboratory. He researches human-computer interaction, augmented humans, and computer vision. His life theme is editing as software. 南田桂吾は東京大学大学院 学際情報学府・石黒研究室の博士1年。専門はHCI、人間拡張、コンピュータビジョン。ライフテーマは「ソフトウェアとしての編集化」。

Doctoral Student (1st Year)
Keigo Minamida
Life Theme
I explore the expansion of human freedom in meaning-generation by supporting the inherent human editorial acts of "segmentation, relationalization, structuralization, and representation" at the level of media and tools in contemporary society where information technology (IT) digitizes all subjects. In our highly informatized society, a future is imminent where everything is captured as data and reconstructed as digital twins in virtual space. This digitalization trend is certainly heading toward a definitive endpoint. However, to derive value from informatized data, human editorial intervention—reinterpretation and reconstitution of information—is indispensable. My life theme lies in "editing as software" that goes beyond mere information collection and generation, enabling humans to freely and flexibly re-edit information. From an HCI (Human-Computer Interaction) perspective, I develop technical methods and interface designs that allow humans to freely re-edit information, proposing a new practical learning approach of "reading, writing, AI" in high-speed, high-volume information environments. This is an attempt to connect the information editing practices that humanity has historically accumulated to the present as "information cultural technology."
Research Interests
Human–AI IntegrationAugmented HumansComputer VisionArs Combinatoria
Research
Research Projects

Spatial Media Conference 2026
SCOPE-GS
Online sequential updates of 3D Gaussian Splatting in dynamic environments.


SIGGRAPH Asia 2024
Incremental Gaussian Splatting
System for gradual 3D reconstruction from monocular camera adapting to real-world changes


