activity
20142025
most citedAffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

77 citations · 208 across the 12 of their papers we have counts for

collaborators

12 papers

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★ 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★ 2 cited

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…

cs.HC2024★ 22 cited

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…

cs.HC2024★ 1 cited

Youth WellTech: A Global Remote Co-Design Sprint for Youth Mental Health Technology

Kenji Phang, Siddharth Saarathi Pradhan, Chino Ikwuegbu +5

Mental health is a pressing concern in today's digital age, particularly among youth who are deeply intertwined with technology. Despite the influx of technology solutions addressi…

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…

cs.HC2023

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…

cs.HC2021★ 77 cited

AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

Prasanth Murali, Javier Hernandez, Daniel McDuff +3

The ability to monitor audience reactions is critical when delivering presentations. However, current videoconferencing platforms offer limited solutions to support this. This work…

cs.LG2017★ 76 cited

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Patrice Y. Simard, Saleema Amershi, David M. Chickering +8

The current processes for building machine learning systems require practitioners with deep knowledge of machine learning. This significantly limits the number of machine learning…

cs.CL2016★ 6 cited

Interactive Semantic Featuring for Text Classification

Camille Jandot, Patrice Simard, Max Chickering +2

In text classification, dictionaries can be used to define human-comprehensible features. We propose an improvement to dictionary features called smoothed dictionary features. Thes…

cs.AI2014★ 15 cited

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems

Patrice Simard, David Chickering, Aparna Lakshmiratan +7

Quick interaction between a human teacher and a learning machine presents numerous benefits and challenges when working with web-scale data. The human teacher guides the machine to…