Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/148588
Title: Structured prompting for design for multi-X : evaluating LLM support in early prosthetic device design
Authors: Mercieca, Adrian
Farrugia, Philip
Borg, Jonathan
Keywords: Engineering design
Natural language processing (Computer science)
Artificial intelligence -- Educational applications
Product design
Self-help devices for people with disabilities
Human-computer interaction
Issue Date: 2026
Publisher: Cambridge University Press
Citation: Mercieca, A., Farrugia, P., & Borg, J. (2026). Structured prompting for design for multi-X: evaluating LLM support in early prosthetic device design. Proceedings of the Design Society, 6, 10.1017/pds.2026.10604.
Abstract: This paper investigates how prompt structure influences the use of Large Language Models in early engineering design. A structured prompting framework aligned with the engineering design cycle is proposed to support Design for Multi X reasoning and more coherent problem exploration. Using a prosthetic knee-cover case study, six engineering designers engaged with both generic and structured prompting workflows. A mixed methods study examines how prompt organisation shapes LLM assisted reasoning, problem framing and the articulation of design constraints and considerations.
URI: https://www.um.edu.mt/library/oar/handle/123456789/148588
Appears in Collections:Scholarly Works - FacEngIME



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