76 citations · 103 across the 17 of their papers we have counts for
13 papers · 1 filter
FrankenReport: Early Exiting in Long-Form Generation Using Expected Value of Computation
Zhengping Jiang, Gonzalo Ramos, Jina Suh +6
While deep research systems address interactive information-seeking needs impressively, their real-world deployments face latency and resource-consumption challenges. We present Fr…
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…
SENSE-7: Taxonomy and Dataset for Measuring User Perceptions of Empathy in Sustained Human-AI Conversations
Jina Suh, Lindy Le, Erfan Shayegani +5
Empathy is increasingly recognized as a key factor in human-AI communication, yet conventional approaches to "digital empathy" often focus on simulating internal, human-like emotio…
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…
Orchid: Orchestrating Context Across Creative Workflows with Generative AI
Srishti Palani, Gonzalo Ramos
Context is critical for meaningful interactions between people and Generative AI (GenAI). Yet mainstream tools offer limited means to orchestrate it, particularly across workflows…
Longitudinal Study on Social and Emotional Use of AI Conversational Agent
Mohit Chandra, Javier Hernandez, Gonzalo Ramos +7
Development in digital technologies has continuously reshaped how individuals seek and receive social and emotional support. While online platforms and communities have long served…
From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents
Mohit Chandra, Suchismita Naik, Denae Ford +8
Recent gains in popularity of AI conversational agents have led to their increased use for improving productivity and supporting well-being. While previous research has aimed to un…
The Aleph & Other Metaphors for Image Generation
Gonzalo Ramos, Rick Barraza, Victor Dibia +1
In this position paper, we reflect on fictional stories dealing with the infinite and how they connect with the current, fast-evolving field of image generation models. We draw att…
GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency
Catherine Yeh, Gonzalo Ramos, Rachel Ng +2
Large language models (LLMs) have become ubiquitous in providing different forms of writing assistance to different writers. However, LLM-powered writing systems often fall short i…
Make It Make Sense! Understanding and Facilitating Sensemaking in Computational Notebooks
Souti Chattopadhyay, Zixuan Feng, Emily Arteaga +4
Reusing and making sense of other scientists' computational notebooks. However, making sense of existing notebooks is a struggle, as these reference notebooks are often exploratory…
Affective Conversational Agents: Understanding Expectations and Personal Influences
Javier Hernandez, Jina Suh, Judith Amores +3
The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains. As these agents become more prevalent, it is crucial to inves…
FoundWright: A System to Help People Re-find Pages from Their Web-history
Haekyu Park, Gonzalo Ramos, Jina Suh +3
Re-finding information is an essential activity, however, it can be difficult when people struggle to express what they are looking for. Through a need-finding survey, we first see…
Evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes
Hayeong Song, Gonzalo Ramos, Peter Bodik
Creating Computer Vision (CV) models remains a complex practice, despite their ubiquity. Access to data, the requirement for ML expertise, and model opacity are just a few points o…