Beyond Skin Deep: Generative Co-Design for Aesthetic Prosthetics

Zhou, Feng; Benford, Steven D; Whatley, Sarah; Marsh, Kate; Ashcroft, Ian; Erhart, Tanja; O'Brien, Welly; Tennent, Paul

Abstract

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.

Citation

Zhou, F., Benford, S. D., Whatley, S., Marsh, K., Ashcroft, I., Erhart, T., O'Brien, W., & Tennent, P. (2023, April). Beyond Skin Deep: Generative Co-Design for Aesthetic Prosthetics. Presented at CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany

• Presentation Conference Type: Edited Proceedings
• Conference Name: CHI '23: CHI Conference on Human Factors in Computing Systems
• Start Date: Apr 23, 2023
• End Date: Apr 28, 2023
• Acceptance Date: Apr 19, 2023
• Publication Date: Apr 19, 2023
• Deposit Date: Mar 18, 2025
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Book Title: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
• ISBN: 9781450394215
• DOI: https://doi.org/10.1145/3544548.3580803
• Public URL: https://nottingham-repository.worktribe.com/output/19789078
• Publisher URL: https://dl.acm.org/doi/10.1145/3544548.3580803