Computational Design and Interaction

近年、数理最適化や機械学習などの計算的手法は、デザイン支援や人間とコンピュータのインタラクションの研究・実践を大きく変えつつあります。これらの研究はComputational DesignおよびComputational Interactionと呼ばれ、Computer GraphicsやHuman-Computer Interactionの分野などで発展してきました。本講義では、これらの概念の基礎を学ぶとともに、最新の研究動向を論文を通じて理解します。

講義前半では、これらの研究トピックを理解するために必要な基礎概念を、数式やコードも交えて解説します。後半では、学生が関連分野の最新論文を調査・選定し、その内容を発表・議論する輪講形式の授業を行います。これにより、急速に発展する分野の動向を主体的に把握する力を養います。

講義の目的：

- 計算的手法（数理最適化・機械学習など）に基づくデザインおよびインタラクション研究の基礎を理解する。
- 最新の研究論文を読み、内容を整理して発表する能力を身につける。
- 研究分野の構造を理解し、自ら文献を探索・位置づける力を養う。

Computational methods such as mathematical optimization and machine learning have significantly transformed research and practice in design support and human-computer interaction. These research areas are often referred to as Computational Design and Computational Interaction, and have developed in fields such as Computer Graphics and Human-Computer Interaction. In this course, students will learn the fundamental concepts of these areas and understand recent research trends through reading academic papers.

In the first half of the course, we introduce the basic concepts required to understand these topics, including mathematical formulations and programming codes where appropriate. In the second half, students will survey and select recent papers in related fields, and present and discuss them in a seminar-style format. Through this process, students will develop the ability to independently understand trends in this rapidly evolving field.

Course objectives:

- Understand the fundamentals of design and interaction research based on computational methods (e.g., mathematical optimization and machine learning).
- Develop the ability to read, organize, and present recent research papers.
- Acquire the ability to understand the structure of the research field and to explore and position relevant literature independently.