5 citations · 12 across the 10 of their papers we have counts for
10 papers
From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants
Valdemar Danry, Javier Hernandez, Andrew Wilson +2
Current LLM assistants are powerful at answering questions, but they have limited access to the behavioral context that reveals when and where a user is struggling. We present a ga…
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…
Affective Air Quality Dataset: Personal Chemical Emissions from Emotional Videos
Jas Brooks, Javier Hernandez, Mary Czerwinski +1
Inspired by the role of chemosignals in conveying emotional states, this paper introduces the Affective Air Quality (AAQ) dataset, a novel dataset collected to explore the potentia…
Neural and Cognitive Impacts of AI: The Influence of Task Subjectivity on Human-LLM Collaboration
Matthew Russell, Aman Shah, Giles Blaney +3
AI-based interactive assistants are advancing human-augmenting technology, yet their effects on users' mental and physiological states remain under-explored. We address this gap by…
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…
AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work
Alice Qian Zhang, Judith Amores, Mary L. Gray +2
Behind the scenes of maintaining the safety of technology products from harmful and illegal digital content lies unrecognized human labor. The recent rise in the use of generative…
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep
Akane Sano, Judith Amores, Mary Czerwinski
We explore the application of large language models (LLMs), pre-trained models with massive textual data for detecting and improving attention and sleep. We investigate the use of…
From User Surveys to Telemetry-Driven AI Agents: Exploring the Potential of Personalized Productivity Solutions
Subigya Nepal, Javier Hernandez, Talie Massachi +7
Information workers increasingly struggle with productivity challenges in modern workplaces, facing difficulties in managing time and effectively utilizing workplace analytics data…
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…
Real-time Animation Generation and Control on Rigged Models via Large Language Models
Han Huang, Fernanda De La Torre, Cathy Mengying Fang +3
We introduce a novel method for real-time animation control and generation on rigged models using natural language input. First, we embed a large language model (LLM) in Unity to o…