activity
20242026
most citedUnderstanding Communication Preferences of Information Workers in Engagement with Text-Based Conversational Agents

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

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.HC2026

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…

cs.HC2025

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…

cs.HC2025

Storycaster: An AI System for Immersive Room-Based Storytelling

Naisha Agarwal, Judith Amores, Andrew D. Wilson

While Cave Automatic Virtual Environment (CAVE) systems have long enabled room-scale virtual reality and various kinds of interactivity, their content has largely remained predeter…

cs.HC20242 cited

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 (…