2 citations · 2 across the 1 of their papers we have counts for
6 papers
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…
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…
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
Vedant Das Swain, Qiuyue "Joy" Zhong, Jash Rajesh Parekh +7
Client-Service Representatives (CSRs) are vital to organizations. Frequent interactions with disgruntled clients, however, disrupt their mental well-being. To help CSRs regulate th…
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…