Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior

Despite their prevalence in eHealth applications for behavior change, persuasive messages tend to have small effects on behavior. Conditions or states (e.g., confidence, knowledge, motivation) and characteristics (e.g., gender, age, personality) of persuadees are two promising components for more effective algorithms for choosing persuasive...

Reinforcement Learning-Based Persuasion by a Conversational Agent for Behavior Change

Adaptive Data-Driven Persuasive Communication for a Conversational Agent to Support Behavior Change

A human therapist continuously adapts how they persuade a client to adhere to a behavior change intervention based on theoretical expertise, past experience with the client as well as other clients, and the client's current situation. We aim at incorporating these elements into the persuasive communication of a conversational agent that acts as...

Reinforcement Learning-Based Persuasion by a Conversational Agent for Behavior Change