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20232026
most citedLongitudinal Study on Social and Emotional Use of AI Conversational Agent

5 citations · 12 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.HC2026

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…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025★ 5 cited

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…

cs.HC2024★ 1 cited

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…

cs.HC2024★ 1 cited

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…

cs.HC2023★ 3 cited

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…