4 papers
Users Mispredict Their Own Preferences for AI Writing Assistance
Vivian Lai, Zana Buçinca, Nil-Jana Akpinar +5
Proactive AI writing assistants need to predict when users want drafting help, yet we lack empirical understanding of what drives preferences. Through a factorial vignette study wi…
VLM-SlideEval: Evaluating VLMs on Structured Comprehension and Perturbation Sensitivity in PPT
Hyeonsu Kang, Emily Bao, Anjan Goswami
Vision-language models (VLMs) are increasingly used to evaluate multimodal content, including presentation slides, yet their slide-specific understanding remains underexplored {des…
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…