A Framework for LLM-powered Design Assistants

TL;DR

This paper presents a versatile framework that leverages large language models as design assistants, enhancing idea exploration, dialogue, and evaluation across diverse design processes.

Contribution

It introduces a novel, adaptable framework integrating LLMs into multiple facets of design assistance, expanding their application beyond traditional boundaries.

Findings

Framework effectively supports idea generation and evaluation.

LMMs facilitate dynamic dialogue with designers.

Applicable across various design workflows.

Abstract

Design assistants are frameworks, tools or applications intended to facilitate both the creative and technical facets of design processes. Large language models (LLMs) are AI systems engineered to analyze and produce text resembling human language, leveraging extensive datasets. This study introduces a framework wherein LLMs are employed as Design Assistants, focusing on three key modalities within the Design Process: Idea Exploration, Dialogue with Designers, and Design Evaluation. Importantly, our framework is not confined to a singular design process but is adaptable across various processes.