What designers need from agentic AI: case of circularity and CMF design
Paper in proceeding, 2026

Colour, Material and Finish (CMF) designers face rising circularity demands but lack tools that combine reliable data, traceable reasoning and creative control. This paper reports a case study with automotive CMF designers, identifying pain points in data access, evaluation of circular options, authorship and trust in AI. We propose design requirements and a conceptual model for agentic AI systems that support circular CMF work while preserving designer agency, accountability, and confidence in material decisions.

automotive interiors

artificial intelligence (AI)

CMF design

agentic AI

circular economy

Author

Kostas Stylidis

Intended Future AB

Chalmers, Industrial and Materials Science, Product Development

Bastian Quattelbaum

Hochschule Niederrhein

Cyriel Diels

Royal College of Art

Rikard Söderberg

Chalmers, Industrial and Materials Science

Proceedings of the International Conference on Engineering Design, ICED

2732527x (eISSN)

Vol. 6 2571-2580

19th International Design Conference, DESIGN 2026
Dubrovnik, Croatia,

CMF Circularity AI: Transforming Vehicle Design with Customer Insights

VINNOVA (2024-03661), 2024-11-29 -- 2025-11-28.

Subject Categories (SSIF 2025)

Human Computer Interaction

Design

DOI

10.1017/pds.2026.10615

More information

Latest update

7/29/2026