When Robot Personalisation Does Not Help: Insights from a Robot-Supported Learning Study

• Published in: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO MAN) pp. 705 - 712
• Main Authors: Gao, Yuan, Barendregt, Wolmet, Obaid, Mohammad, Castellano, Ginevra
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2018
• Subjects: Adaptation models; Buildings; Computer graphics and computer vision; Datorgrafik och datorseende; Europe; Games; Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign); Robotics and automation; Robotik och automation; Robots; Task analysis; personalisation; robotics; Reinforcement learning

In the domain of robotic tutors, personalised tutoring has started to receive scientists' attention, but is still relatively underexplored. Previous work using reinforcement learning (RL) has addressed personalised tutoring from the perspective of affective policy learning. However, little is k...