Describes a Unity-based embodied agent with dual Observer/Presenter agents for objective health data narration and reports early insights from a N=5 within-subject simulated-self study versus dashboards.
Adler, Joey Castillo, Tanzeem Choudhury, and Fei Wang
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
EmBot combines wearable-triggered stress detection with LLM conversational support and was probed via expert interviews to surface design considerations for daily stress management.
citing papers explorer
-
Talking to Your Data: Exploring Embodied Conversation as an Interface for Personal Health Reflection
Describes a Unity-based embodied agent with dual Observer/Presenter agents for objective health data narration and reports early insights from a N=5 within-subject simulated-self study versus dashboards.
-
Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management
EmBot combines wearable-triggered stress detection with LLM conversational support and was probed via expert interviews to surface design considerations for daily stress management.