Beyond Skin Deep: Generative Co-Design for Aesthetic Prosthetics
Beyond Skin Deep: Generative Co-Design for Aesthetic Prosthetics
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DOI：
10.1145/3544548.3580803
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发表时间：
2023-04
期刊：
影响因子：
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通讯作者：
Feng Zhou;Steve Benford;Sarah Whatley;Kate Marsh;I. Ashcroft;Tanja Erhart;Welly O’Brien;P. Tennent
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文献类型：
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作者：
Feng Zhou;Steve Benford;Sarah Whatley;Kate Marsh;I. Ashcroft;Tanja Erhart;Welly O’Brien;P. Tennent
有一种趋势是手工定制假肢，体现他们的佩戴者的审美品味和身份。我们将探讨如何通过使用户能够与算法共同设计来扩展这一点。我们报告了一项以设计为主导的探索（图1），其中专业残疾舞者使用生成设计算法跳舞，以创建称为美学种子的个性化设计。进一步的算法将这些应用于假肢润滑脂，在优化增材制造之前将它们渲染成各种材料。对我们舞者的采访表明，假肢的美学超越了视觉装饰，涵盖了形式，功能，身体体验，身体形象和身份;与生成设计算法的交互可以利用人们的表达和美学技能;我们必须重新设计支持不同身体的技术。我们将我们的发现概括为人们如何与算法共同设计3D打印产品的过程。
There is a trend for handcrafting bespoke prostheses that embody their wearers’ aesthetic tastes and identities. We explore how this might be extended by enabling users to co-design with algorithms. We report a design-led exploration (Figure 1) in which professional disabled dancers danced with a generative design algorithm to create personalised designs called aesthetic seeds. Further algorithms applied these to prosthetic greaves, rendering them in various materials before optimising for additive manufacture. Interviews with our dancers revealed that the aesthetics of prosthetics reach beyond visual decoration to encompass form, function, bodily experience, body image, and identity; that interactions with generative design algorithms can harness people’s expressive and aesthetic skills; and that we must redesign supporting technologies for diverse bodies. We generalise our findings into a process for how people may co-design 3D printable products with algorithms.