62 citations · 343 across the 24 of their papers we have counts for
28 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…
StructSim: Measuring Idea Similarity at Scale Through Structural Representation
Yaqing Yang, Yaqing yang, Vikram Mohanty +4
Measuring idea similarity is fundamental to creativity evaluation, especially as LLMs enable idea generation at increasing scale. However, text embeddings collapse an idea into a s…
ReVision: Supporting Designers' Interpretation and Exploration of Visuals in Concepts and Forms
Yaqing Yang, Mei-Xi Chia, Aniket Kittur
Visual designers get inspiration from references to expand their design space. They decompose what makes a reference evocative into conceptual and visual elements, ranging from exp…
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…
Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop
Lev Tankelevitch, Elena L. Glassman, Jessica He +7
Generative AI (GenAI) radically expands the scope and capability of automation for work, education, and everyday tasks, a transformation posing both risks and opportunities for hum…
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…
Tasks, Time, and Tools: Quantifying Online Sensemaking Efforts Through a Survey-based Study
Andrew Kuznetsov, Michael Xieyang Liu, Aniket Kittur
Aiming to help people conduct online research tasks, much research has gone into tools for searching for, collecting, organizing, and synthesizing online information. However, outs…
Imitation of Life: A Search Engine for Biologically Inspired Design
Hen Emuna, Nadav Borenstein, Xin Qian +4
Biologically Inspired Design (BID), or Biomimicry, is a problem-solving methodology that applies analogies from nature to solve engineering challenges. For example, Speedo engineer…
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…
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
Michael Xieyang Liu, Tongshuang Wu, Tianying Chen +3
Sensemaking in unfamiliar domains can be challenging, demanding considerable user effort to compare different options with respect to various criteria. Prior research and our forma…
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking
Hyeonsu B. Kang, Sherry Tongshuang Wu, Joseph Chee Chang +1
Efficiently reviewing scholarly literature and synthesizing prior art are crucial for scientific progress. Yet, the growing scale of publications and the burden of knowledge make s…
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Kyle Lo, Joseph Chee Chang, Andrew Head +52
Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…
Fuse: In-Situ Sensemaking Support in the Browser
Andrew Kuznetsov, Joseph Chee Chang, Nathan Hahn +4
People spend a significant amount of time trying to make sense of the internet, collecting content from a variety of sources and organizing it to make decisions and achieve their g…
Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature
Hyeonsu B. Kang, Joseph Chee Chang, Yongsung Kim +1
Reviewing the literature to understand relevant threads of past work is a critical part of research and vehicle for learning. However, as the scientific literature grows the challe…
Wigglite: Low-cost Information Collection and Triage
Michael Xieyang Liu, Andrew Kuznetsov, Yongsung Kim +3
Consumers conducting comparison shopping, researchers making sense of competitive space, and developers looking for code snippets online all face the challenge of capturing the inf…
Augmenting Scientific Creativity with Retrieval across Knowledge Domains
Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang +5
Exposure to ideas in domains outside a scientist's own may benefit her in reformulating existing research problems in novel ways and discovering new application domains for existin…
Augmenting Scientific Creativity with an Analogical Search Engine
Hyeonsu B. Kang, Xin Qian, Tom Hope +3
Analogies have been central to creative problem-solving throughout the history of science and technology. As the number of scientific papers continues to increase exponentially, th…
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head +6
The ever-increasing pace of scientific publication necessitates methods for quickly identifying relevant papers. While neural recommenders trained on user interests can help, they…
Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making
Michael Xieyang Liu, Aniket Kittur, Brad A. Myers
Developers perform online sensemaking on a daily basis, such as researching and choosing libraries and APIs. Prior research has introduced tools that help developers capture inform…
Metrics and Mechanisms: Measuring the Unmeasurable in the Science of Science
Lingfei Wu, Aniket Kittur, Hyejin Youn +4
What science does, what science could do, and how to make science work? If we want to know the answers to these questions, we need to be able to uncover the mechanisms of science,…
To Reuse or Not To Reuse? A Framework and System for Evaluating Summarized Knowledge
Michael Xieyang Liu, Aniket Kittur, Brad A. Myers
As the amount of information online continues to grow, a correspondingly important opportunity is for individuals to reuse knowledge which has been summarized by others rather than…