DesignFromX: Empowering Consumer-Driven Design Space Exploration through Feature Composition of Referenced Products

Abstract

Industrial products are designed to satisfy the needs of consumers. The rise of generative artificial intelligence (GenAI) enables consumers to easily modify a product by prompting a generative model, opening up opportunities to incorporate consumers in exploring the product design space. However, consumers often struggle to articulate their preferred product features due to their unfamiliarity with terminology and their limited understanding of the structure of product features. We present DesignFromX, a system that empowers consumer-driven design space exploration by helping consumers to design a product based on their preferences. Leveraging an effective GenAI-based framework, the system allows users to easily identify design features from product images and compose those features to generate conceptual images and 3D models of a new product. A user study with 24 participants demonstrates that DesignFromX lowers the barriers and frustration for consumer-driven design space explorations by enhancing both engagement and enjoyment for the participants.

References in corpus (10)

• The Effects of Generative AI on Design Fixation and Divergent Thinking
• Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
• PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement
• PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions
• Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention
• C2Ideas: Supporting Creative Interior Color Design Ideation with Large Language Model
• GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information
• Spinneret: Aiding Creative Ideation through Non-Obvious Concept Associations
• Epigraphics: Message-Driven Infographics Authoring
• Introducing Bidirectional Programming in Constructive Solid Geometry-Based CAD