Human-AI Interaction and Collaboration

Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior
Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation
  • Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng Chau

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)

DiaryPlay: AI-Assisted Creation of Interactive Story Vignettes for Everyday Storytelling
  • Jiangnan Xu, Haeseul Cha, Gosu Choi, Gyu-cheol Lee, Yeo-Jin Yoon, Zucheul Lee, Konstantinos Papangelis, Dae Hyun Kim, Juho Kim

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2026)

Supporting Multimodal Data Interaction on Refreshable Tactile Displays: An Architecture to Combine Touch and Conversational AI
  • Samuel Reinders, Munazza Zaib, Matthew Butler, Bongshin Lee, Ingrid Zukerman, Lizhen Qu, Kim Marriott

  • arXiv

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
  • Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R McKee, Verena Rieser, Murray Shanahan, Laura Weidinger

  • International Conference on Learning Representations (ICLR 2026)

COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs
  • Dasol Choi, DongGeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng

  • arXiv

Generative AI Personas Considered Harmful? Putting Forth Twenty Challenges of Algorithmic User Representation in Human-Computer Interaction
  • Danial Amin, Joni Salminen, Bernard J. Jansen, Joongi Shin, Dae Hyun Kim

  • International Journal of Human-Computer Studies (IJHCS)

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models
  • Jessica Quaye, Charvi Rastogi, Alicia Parrish, Oana Inel, Minsuk Kahng, Lora Aroyo, Vijay Janapa Reddi

  • arXiv

Oral
C²: Scalable Auto-Feedback for LLM-based Chart Generation
  • Woosung Koh, Janghan Yoon, MinHyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee

  • Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025)

LLM Adoption in Data Curation Workflows: Industry Practices and Insights
  • Crystal Qian, Michael Xieyang Liu, Emily Reif, Grady Simon, Nada Hussein, Nathan Clement, James Wexler, Carrie J. Cai, Michael Terry, Minsuk Kahng

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2025)

LLM Attributor: Interactive Visual Attribution for LLM Generation
  • Seongmin Lee, Zijie J Wang, Aishwarya Chakravarthy, Alec Helbling, ShengYun Peng, Mansi Phute, Duen Horng Chau, Minsuk Kahng

  • Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025)

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models
  • Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

  • IEEE Transactions on Visualization and Computer Graphics (VIS 2024)

Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
  • Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo

  • ACM Conference on Fairness, Accountability, and Transparency (FAccT 2024)

Redefining Activity Tracking Through Older Adults' Reflections on Meaningful Activities
  • Yiwen Wang, Mengying Li, Young-Ho Kim, Bongshin Lee, Margaret Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, Eun Kyoung Choe

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)

Visual Cues for Data Analysis Features Amplify Challenges for Blind Spreadsheet Users
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
  • Emily Reif, Crystal Qian, James Wexler, Minsuk Kahng

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
  • Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)

Understanding the Dataset Practitioners Behind Large Language Models
  • Crystal Qian, Emily Reif, Minsuk Kahng

  • ACM CHI Conference on Human Factors in Computing Systems (CHI 2024)

Interactive Prompt Debugging with Sequence Salience
  • Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon

  • arXiv

Honorable Mention Award
Data Formulator: AI-powered Concept-driven Visualization Authoring
  • Chenglong Wang, John R. Thompson, Bongshin Lee

  • IEEE Transactions on Visualization and Computer Graphics (VIS 2023)

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models
  • Emily Reif, Minsuk Kahng, Savvas Petridis

  • IEEE Visualization Conference (VIS 2023)

VLSlice: Interactive Vision-and-Language Slice Discovery
  • Eric Slyman, Minsuk Kahng, Stefan Lee

  • IEEE/CVF International Conference on Computer Vision (ICCV 2023)

DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps
  • Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng

  • IEEE Transactions on Visualization and Computer Graphics (VIS 2022)