Maria Blancas-Muñoz, Vasiliki Vouloutsi, Riccardo Zucca, Anna Mura, Paul F.M.J. Verschure

Abstract:

The kind of help a student receives during a task has been shown to play a significant role in their learning process. We designed an interaction scenario with a robotic tutor, in real-life settings based on an inquiry-based learning task. We aim to explore how learners’ performance is affected by the various strategies of a robotic tutor. We explored two kinds of (presumable) help: hints (which were specific to the level or general to the task) or distractions (information not relevant to the task: either a joke or a curious fact). Our results suggest providing hints to the learner and distracting them with curious facts as more effective than distracting them with humour.  download PDF

Blancas-Muñoz, M., Vouloutsi, Vasiliki, Zucca, R., Mura, Anna, Verschure, P., (2018). Hints vs distractions in intelligent tutoring systems: Looking for the proper type of help ARXIV Computer Science, (Human-Computer Interaction), 1-4