5 citations · 9 across the 8 of their papers we have counts for
6 papers · 1 filter
RESPOND: Responsive Engagement Strategy for Predictive Orchestration and Dialogue
Meng-Chen Lee, Costas Panay, Javier Hernandez +4
The majority of voice-based conversational agents still rely on pause-and-respond turn-taking, leaving interactions sounding stiff and robotic. We present RESPOND (Responsive Engag…
User Perceptions of an LLM-Based Chatbot for Cognitive Reappraisal of Stress: Feasibility Study
Ananya Bhattacharjee, Jina Suh, Mohit Chandra +1
Cognitive reappraisal is a well-studied emotion regulation strategy that helps individuals reinterpret stressful situations to reduce their impact. Many digital mental health tools…
From Measurement to Expertise: Empathetic Expert Adapters for Context-Based Empathy in Conversational AI Agents
Erfan Shayegani, Jina Suh, Andy Wilson +2
Empathy is a critical factor in fostering positive user experiences in conversational AI. While models can display empathy, it is often generic rather than tailored to specific tas…
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…
Understanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agents
Ananya Bhattacharjee, Jina Suh, Mahsa Ershadi +3
Communication traits in text-based human-AI conversations play pivotal roles in shaping user experiences and perceptions of systems. With the advancement of large language models (…