Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

PROMPT, COMPARE, REFLECT, REPEAT: LEARNING RESPONSIBLE AI USE FOR PRODUCT DESIGN

Brisco, Ross; Gunn, Kieran; Holliman, Alexander "Freddie"


Type:
Year:
2026
Editor:
Buck, Lyndon; Brisco. Ross; Bohemia, Erik
Author:
Series:
E&PDE
Institution:
University of Strathclyde, United Kingdom
Page(s):
179 - 184
DOI number:
ISBN:
978-1-912254-24-8
ISSN:
3005-4753
Abstract:
Artificial intelligence is rapidly reshaping product design practice and education, creating both opportunities and risks for how future designers are trained. While AI tools can support ideation, documentation and decision-making, there is growing concern that uncritical use may weaken foundational design skills and reflective practice. This paper presents the development and initial evaluation of a participatory, workshop-based educational intervention centred on an AI-powered product design assistant tool. The approach aims to teach responsible and effective AI use by making students active participants in prompt construction, output evaluation and iterative refinement. The tool generates structured early-stage design documentation from user prompts, encouraging consideration of components, methodology, constraints and regulations. An exploratory workshop was conducted with Engineering Design students, combining instruction on prompt crafting with guided experimentation and reflection activities. Feedback indicates that participants found the tool useful for early-stage concept development and for understanding how input structure affects AI output. Features that enabled parameter and prompt manipulation were particularly valued, supporting critical comparison and reflective learning. However, students also highlighted limitations in technical depth, accuracy and verifiability, reinforcing the need for validation and careful task alignment. The findings suggest that participatory AI-building and prompt-design workshops can support AI literacy, critical judgement and responsible adoption in design education, positioning AI as a scaffold for learning rather than a substitute for design thinking.
Keywords:

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