5 citations · 9 across the 8 of their papers we have counts for
4 papers · 1 filter
Discourse Diversity in Multi-Turn Empathic Dialogue
Hongli Zhan, Emma S. Gueorguieva, Javier Hernandez +3
Large language models (LLMs) produce responses rated as highly empathic in single-turn settings (Ayers et al., 2023; Lee et al., 2024), yet they are also known to be formulaic gene…
AI generates well-liked but templatic empathic responses
Emma S. Gueorguieva, Hongli Zhan, Jina Suh +4
Recent research shows that greater numbers of people are turning to Large Language Models (LLMs) for emotional support, and that people rate LLM responses as more empathic than hum…
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…