🎉 Thrilled to share that our paper "Reporting and Reviewing LLM-Integrated Systems in HCI: Challenges and Considerations" has been conditionally accepted to #CHI2026! A thread 🧵

DraftMarks embeds process traces directly into the document using skeuomorphic encodings (e.g., masking tape, smudge marks, eraser crumbs). Instead of external provenance dashboards, the process becomes legible in situ during close reading. This supports what we call process-aware reading.

As AI becomes a writing collaborator, readers face a new problem: what is human thought? What did the AI produce? Existing disclosures tell us that AI was used, but not *how* collaboration unfolded. We introduce DraftMarks, an augmented reading interface for human–AI co-writing. #CHI2026

Nice Commentary on HCI Education in the Jan issue of Interactions Magazine that mentions our Gulf of Envisoning Work with Maneesh @magrawala.bsky.social Chris Pondoc, Roy Pea, and Colleen Seifert: interactions.acm.org/archive/view...

All righty y'all! The Journal of Black Language and Culture @jblacjournal.bsky.social is now open for submissions! See our website for information on how to submit and reach out if you have questions or ideas as we learn and grow! www.cambridge.org/core/journal...

In this School's In podcast episode, I discuss the intersections of AI, writing, and critical thinking, and reflect on the central role of HCI in designing purpose-built educational tools! Link below:

Stanford Graduate School of Education@stanfordeducation.bsky.social · 10mo ago

In this episode of School’s In, GSE Assistant Professor Hari Subramonyam discusses how AI can support critical thinking and creativity in the learning process. Listen now: lnk.to/SchoolsInSM

Check out this great synthesis of the tools for thought workshop we organized at #CHI2025 👇

Lev Tankelevitch@levlevlev.bsky.social · 11mo ago

At #CHI2025, we ran a workshop on 🧠Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with #GenerativeAI What are the #HCI research+design opps in this space? 👉Read our new synthesis of the workshop: arxiv.org/abs/2508.21036

📢 AI is changing the way we create, learn, & reason. But is it augmenting human cognition, or dulling it? Please submit your ideas to our #HCI Special Issue: Generative AI in Tools for Thought. Abstract Deadline: Oct 10, 2025 → tinyurl.com/t4tcfp

Congratulations @momins.bsky.social for your honorable mention award at #CHI2025

Hari Subramonyan@subramonyam.bsky.social · last yr.

Current AI-assisted writing interfaces are disruptive. They are either too rigid, too complex, or chat-based, forcing writers into an unnatural back-and-forth. Momin @momins.bsky.social developed a new layered interface paradigm that makes AI-assisted writing more intuitive #CHI2025 [1/n] 👇

Looking forward to giving a connected pair of upcoming talks! Apr 14: I'll present Unpredictable Black Boxes are Terrible Interfaces for the Data Science Institute in Toronto datasciences.utoronto.ca/event/prof-m...

Unpredictable Black Boxes are Terrible Interfaces - Prof. Maneesh Agrawala - DSI

Join us for the Inequity Speaker Series with Associate Professor Dustin Duncan, from the Department of Epidemiology and Co-Director of the Social and Spatial Epidemiology Unit, Columbia University.

datasciences.utoronto.ca

📢 Parents! If you know or have high school students interested in STEM, check out this research opportunity. We are inviting high school students to participate in a study on an AI-supported tool that creates interactive STEM simulations for learning! Details below:

If you are a science teacher in the US, please consider participating in our study!! Details below:

Current AI-assisted writing interfaces are disruptive. They are either too rigid, too complex, or chat-based, forcing writers into an unnatural back-and-forth. Momin @momins.bsky.social developed a new layered interface paradigm that makes AI-assisted writing more intuitive #CHI2025 [1/n] 👇

FANTASTIC ICPSR at U Mich is coordinating the archiving of at-risk federal data (all of it?) You can upload data you have & search for data you don’t have www.datalumos.org/datalumos/

🤔Giving complex tasks to AI agents is easy—getting them to do exactly what you want isn’t. How can human-AI collaboration give us more reliable & steerable agents? 🍫Introducing Cocoa, our new interaction paradigm for balancing human & AI agency in complex human-AI workflows. 🧵

Excited to co-organize this #CHI2025 workshop on Tools for Thought! 🎉 Join us in exploring how Generative AI can understand, protect, and augment human cognition. Submit your work to help shape this critical conversation! 🔗 Details & Submission: aka.ms/toolsforthou... ⏳ Deadline: Feb 13, 2025 (AoE)

See the colors of BlueSky, live! www.bewitched.com/demo/rainbow... This little visualization scans incoming posts and draws a stripe every time it finds a color word.

I am recruiting a postdoc! The research emphasis is participatory design for decision-making interfaces. Check out the two project descriptions on my website. people.cs.uchicago.edu/~kalea/prosp... The position is through UChicago’s Data Science Institute. datascience.uchicago.edu/research/pos...

#CHI2024 Paper: Using tools like ChatGPT can feel like the Hot-or-Cold guessing game, finding the right prompt to get the response you want! We examine the cognitive challenges people face in translating their intentions into prompts and make recommendations for Generative AI app designers

New work from my lab looking at ways to engage with teachers and students early on the machine learning development process to build AI powered education technology. We will present this work at CSCW2024. hai.stanford.edu/news/data-ce...

A Data-Centered Approach to Education AI

Useful models need better data. Stanford scholars explore a path to ensure domain experts have more fruitful conversation.

hai.stanford.edu

Nice write-up by Stanford Human-Centered AI on my recent work with @subramonyam.bsky.social on the yawning chasm between researchers' claims and their evaluations in visualization-for-machine learning (VIS4ML) research hai.stanford.edu/news/shortco...

Shortcomings of Visualizations for Human-in-the-Loop Machine Learning

While visualizations can help developers better design, train, and understand their models, new research shows gaps between ambitions and evidence.

hai.stanford.edu