A four-week study with 38 participants tested an RL system for dynamically choosing clinical or wellness journaling prompts to optimize sustained engagement, finding post-intervention benefits and differing engagement patterns.
Guridi, Angel Hsing-Chi Hwang, Beth Kolko, Emma Elizabeth McGinty, and Qian Yang
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Support
A four-week study with 38 participants tested an RL system for dynamically choosing clinical or wellness journaling prompts to optimize sustained engagement, finding post-intervention benefits and differing engagement patterns.