Oh Chair 読書ラウンジ by Ao Zhou is a highly esteemed winner of the very prestigious 2024 A' Design Award 鉄賞 in ジェネラティブ・アルゴリズミック・パラメトリック・AI支援デザイン Competition Category.

鉄ジェネラティブ· 2024

Oh Chair 読書ラウンジ

by Ao Zhou

Client: Meso Design

A' Design Award 鉄賞 Winner in ジェネラティブ Category

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The Design

About Oh Chair 読書ラウンジ

Ohチェアは、象徴的なレトロフューチャリスティックなエッグチェアに対する現代的な応答です。曲線を描くワイヤーベースと視覚的に開放的なシグネチャーシートのデザインを取り入れることで、デザイナーたちは最先端技術へのアプローチの本質を捉えました。制作プロセスにAIGCを活用することで、Ohチェアは人工知能に対するデザイナーたちの視点を体現しています。それは、オープンマインドと慎重な配慮をもって共創し、周囲の文脈に留意しながら進歩を受け入れるというものです。

The Recognition

About the A' Design Award 鉄賞

Oh Chair 読書ラウンジは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Oh Chair 読書ラウンジは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Oh Chair 読書ラウンジは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Oh Chair is a modern response to the iconic retro-futuristic egg chair. By incorporating the bent wire base and the visually open design of the signature seat, the designers were able to capture the essence of their approach to cutting-edge technology.
Involving AIGC in the creation process allowed Oh Chair to showcase the designers' perspective on Artificial Intelligence: co-piloting with an open mind and careful consideration, embracing progress while being mindful of the surrounding context.
Dimensions & Packaging: 706 mm X 1316 mm X 1356 mm
Tags: Artificial Intelligence, Algorithmic Furniture, Retrofuturistic, Sustainability, AI-Assisted Design, Furniture Design, Generative Design, Recycled Material, Stainless Steel, Future Casting, Lounge Chair, Sessel Design, Ergonomics
Production Technology: Design Process: Blender/Figma/Photoshop/AIGC

Materials: 100% recyclable polyethylene, Fabric, Stainless Steel
Design Challenge: Training the AI model is the biggest challenge that we met. Instead of just starting from scratch with a publicly available generative AI model, we trained the Stable Diffusion image-generation model on both modernism and retro-futuristic catalogs from the 1920s-1930s, and 1950s to 1960s. This process leads to thousands of Iterations and Ideations. We need to adapt to the technical demands of AI and invest in training and infrastructure. Images generated with these two distinct data sets reflect the general aesthetic of those time periods and that also correspond with our original design goal: While following the legacy of the timeless design from above two golden periods, exploring new materials, construction techniques, and ergonomic solutions within the constraints of a chair design, ultimately producing a functional and aesthetically compelling piece of furniture.
Research: This design project is a speculative experience exploring the impact of creative technologies on the design process. We suspect generative design will speed up the early stage exploration with conversational response, but yet know how it helps the final visualization. To figure out, we conducted qualitative research on how the designer workflow is impacted by generative co-creation.

In this test, designers are the participants. We collected and analyzed data exchange from every step of the design process, from MidJourney to Blender to Photoshop, and found the preset “prompt” setting of the scope for the entire project. After the back-and-forth chat process between the chief designer and mid-journey, generative tech assisted the designer in putting their vision to work and setting the boundaries and visual direction with an extensive image database from both modernism and retro-futuristic, thus clarifying the designer’s direction with the provided tangible option for the next stage.

However, the image generated by AI hardly applies to furniture modeling and production because of its limitation on understanding the z-axis and following the basic law of physics. Here is when the designer takes the lead. During the iteration phase, the design, and design alongside the visualizer collaborated as human factor engineers to restructure the initial design with more human factor and production consideration. Adding human touches, like a round cushion for back support and a visual icon; injects consciousness of sustainability with the material choice. At this stage, generative AI assists the creative process by presenting an incorrect baseline design embodied in the same art direction, this gives designers great motivation to “Correct” the structure, thus self-critique their vision and focus on the human factor and material choices.

The result of the research result is that generative AI is a great tool for visualizing designer vision with lightning speed and liberating design from the heavy lifting of self-double by accelerating the brainstorming process with a pre-trained database and creating “other” derivatives from “self” for more conscious iteration and less self double for later revisions.
Inspiration: The seating of the Oh Chair is reminiscent of bended paper, mimic the lightness and organic fluidity of a paper drifting in the wind, and symbolizing the dawn of a new era.
The welded metal tubes, with their simple bends, pay homage to the outline of a classic paperclip.
Drawing inspiration from Munich, the birthplace of Stable Diffusion, this armchair seamlessly blends diversity, vitality, humanity, and urban elements all in one.
Project Duration: The project started October 2023 in Munich, and finished in January 2024 in Munich and Los Angeles.
Team Members: Art Director: Jiaying Zhou(Connie)
Chief Designer: Ao Zhou
Visualization Designer: Jackson Zhang