28 citations · 33 across the 11 of their papers we have counts for
12 papers
Scanvas: Discovering and Developing Synergistic Opportunities in Generative Design Spaces
Yaqing Yang, Aniket Kittur, Hongyu Howie Wang +4
Good design is often synergistic, creating super-additive value by linking goals so that existing resources produce greater outcomes. However, finding these synergistic opportuniti…
Learning From Design Procedure To Generate CAD Programs for Data Augmentation
Yan-Ying Chen, Dule Shu, Matthew Hong +3
Large Language Models (LLMs) have demonstrated impressive capabilities in a wide range of code generation tasks. However, generating code for certain domains remains challenging. O…
Personagram: Bridging Personas and Product Design for Creative Ideation with Multimodal LLMs
Taewook Kim, Matthew K. Hong, Yan-Ying Chen +5
Product designers often begin their design process with handcrafted personas. While personas are intended to ground design decisions in consumer preferences, they often fall short…
Deconstructing Taste: Toward a Human-Centered AI Framework for Modeling Consumer Aesthetic Perceptions
Matthew K. Hong, Joey Li, Alexandre Filipowicz +6
Understanding and modeling consumers' stylistic taste such as "sporty" is crucial for creating designs that truly connect with target audiences. However, capturing taste during the…
FlexMind: Supporting Deeper Creative Thinking with LLMs
Yaqing Yang, Vikram Mohanty, Yan-Ying Chen +3
Expert ideation requires more than generating ideas. People must articulate trade-offs, develop mitigations, and compare parallel directions, yet this reasoning process is cognitiv…
Scaffolding Flexible Ideation Workflows with AI in Creative Problem-Solving
Yaqing Yang, Vikram Mohanty, Nikolas Martelaro +3
Divergent thinking in the ideation stage of creative problem-solving demands that individuals explore a broad design space. Yet this exploration rarely follows a neat, linear seque…
From Overload to Insight: Scaffolding Creative Ideation through Structuring Inspiration
Yaqing Yang, Vikram Mohanty, Nikolas Martelaro +3
Creative ideation relies on exploring diverse stimuli, but the overwhelming abundance of information often makes it difficult to identify valuable insights or reach the `aha' momen…
BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer
Hyeonsu Kang, David Chuan-en Lin, Yan-Ying Chen +3
We present BioSpark, a system for analogical innovation designed to act as a creativity partner in reducing the cognitive effort in finding, mapping, and creatively adapting divers…
Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching
David Chuan-En Lin, Hyeonsu B. Kang, Nikolas Martelaro +3
With recent advancements in the capabilities of Text-to-Image (T2I) AI models, product designers have begun experimenting with them in their work. However, T2I models struggle to i…
Stylish and Functional: Guided Interpolation Subject to Physical Constraints
Yan-Ying Chen, Nikos Arechiga, Chenyang Yuan +3
Generative AI is revolutionizing engineering design practices by enabling rapid prototyping and manipulation of designs. One example of design manipulation involves taking two refe…
Understanding the Cognitive Complexity in Language Elicited by Product Images
Yan-Ying Chen, Shabnam Hakimi, Monica Van +4
Product images (e.g., a phone) can be used to elicit a diverse set of consumer-reported features expressed through language, including surface-level perceptual attributes (e.g., "w…
BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation
Hyeonsu B. Kang, David Chuan-En Lin, Nikolas Martelaro +3
Nature is often used to inspire solutions for complex engineering problems, but achieving its full potential is challenging due to difficulties in discovering relevant analogies an…