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

no code implementations • 5 Apr 2023 • Nele Albers, Mark A. Neerincx, Willem-Paul Brinkman

Using this RL-approach, we found, based on leave-one-out cross-validation, that considering states helps to predict both behavior and future states.

Reinforcement Learning (RL)

Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology

no code implementations • 5 Oct 2022 • Ruben S. Verhagen, Siddharth Mehrotra, Mark A. Neerincx, Catholijn M. Jonker, Myrthe L. Tielman

We identify four components to which explanation designers can pay special attention: perception, semantics, intent, and user & context.

Explanation Generation Fairness