activity
20232026
most citedCreative Writers' Attitudes on Writing as Training Data for Large Language Models

13 citations · 31 across the 13 of their papers we have counts for

collaborators

14 papers

cs.HC2026

MagicCopy: Bring my data along with me beyond boundaries of apps

Priyan Vaithilingam, Elena L. Glassman, Nathalie Henry Riche +3

People working with data often move their data across multiple applications, because they rely on these apps' complementing user experiences to best complete their tasks. Since tra…

cs.HC2026

How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions

Jingyue Zhang, J. D. Zamfirescu-Pereira, Elena L. Glassman +2

Traditional human-computer interaction takes place through formally-specified systems like structured UIs and programming languages. Recent AI systems promise a new set of informal…

cs.HC2025

Interface Design to Support Legal Reading and Writing: Insights from Interviews with Legal Experts

Chelse Swoopes, Ziwei Gu, Elena L. Glassman

Legal professionals spend significant time reading, writing, and interpreting complex documents, yet research has not fully captured how they approach these tasks or what they expe…

cs.HC2025★ 1 cited

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…

cs.HC2025

A Paradigm for Creative Ownership

Tejaswi Polimetla, Katy Ilonka Gero, Elena Leah Glassman

As generative AI tools become embedded in creative practice, questions of ownership in co-creative contexts are pressing. Yet studies of human-AI collaboration often invoke "owners…

cs.HC2025★ 1 cited

Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale

Priyan Vaithilingam, Munyeong Kim, Frida-Cecilia Acosta-Parenteau +4

How do we update AI memory of user intent as intent changes? We consider how an AI interface may assist the integration of new information into a repository of natural language dat…

cs.HC2024★ 13 cited

Creative Writers' Attitudes on Writing as Training Data for Large Language Models

Katy Ilonka Gero, Meera Desai, Carly Schnitzler +3

The use of creative writing as training data for large language models (LLMs) is highly contentious and many writers have expressed outrage at the use of their work without consent…

cs.HC2024★ 2 cited

AI-Resilient Interfaces

Elena L. Glassman, Ziwei Gu, Jonathan K. Kummerfeld

AI is powerful, but it can make choices that result in objective errors, contextually inappropriate outputs, and disliked options. We need AI-resilient interfaces that help people…

cs.AI2024★ 9 cited

Antagonistic AI

Alice Cai, Ian Arawjo, Elena L. Glassman

The vast majority of discourse around AI development assumes that subservient, "moral" models aligned with "human values" are universally beneficial -- in short, that good AI is sy…

cs.HC2024★ 2 cited

Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation

Priyan Vaithilingam, Ian Arawjo, Elena L. Glassman

We ideate a future design workflow that involves AI technology. Drawing from activity and communication theory, we attempt to isolate the new value large AI models can provide desi…

cs.HC2024

Supporting Sensemaking of Large Language Model Outputs at Scale

Katy Ilonka Gero, Chelse Swoopes, Ziwei Gu +2

Large language models (LLMs) are capable of generating multiple responses to a single prompt, yet little effort has been expended to help end-users or system designers make use of…

cs.HC2024★ 1 cited

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala +1

Users often rely on GUIs to edit and interact with visualizations - a daunting task due to the large space of editing options. As a result, users are either overwhelmed by a comple…

cs.HC2024★ 1 cited

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents

Ziwei Gu, Ian Arawjo, Kenneth Li +2

Readers find text difficult to consume for many reasons. Summarization can address some of these difficulties, but introduce others, such as omitting, misrepresenting, or hallucina…

cs.HC2023★ 1 cited

AtomXR: Streamlined XR Prototyping with Natural Language and Immersive Physical Interaction

Alice Cai, Caine Ardayfio, AnhPhu Nguyen +2

As technological advancements in extended reality (XR) amplify the demand for more XR content, traditional development processes face several challenges: 1) a steep learning curve…