MemoRob : Studying Robots Distractor Effects Article - Décembre 2020

Céline Jost, Brigitte Le Pévédic, Marine Grandgeorge, Marie Le Menn, Farah Arab, M’ballo Seck, Charles Tijus

Céline Jost, Brigitte Le Pévédic, Marine Grandgeorge, Marie Le Menn, Farah Arab, M’ballo Seck, Charles Tijus, « MemoRob : Studying Robots Distractor Effects  », Modelling, measurement and control C, décembre 2020, pp. 55-61. ISSN 1259-5977

Abstract

MemoRob is a model about how to optimize the use of robots for learning. It is based on a list of each possible robotic source of distraction associated with its relevant effects according to its nature and to the target learning mode. While collecting the sources of distraction that the robotics literature provides, the instantiation method of pairing each source and each learning mode with the nature of the distraction as well as its distracting effects allows to consider how to remedy these effects of robotic distraction effects although still having the robotic input as a learning medium. In this article, we provide the motivations that led to the need for the MemoRob model, the list of sources and effects generated by the Human-Robot interaction that may interfere with learning situations, the learning modes described according to their processes and mechanisms and, finally, a set of predictions on whether a given robotic learning situations might promote attention or distraction.

Voir la notice complète sur HAL

Actualités