Exploring the Difference between Solving and Teaching in Sensorimotor Tasks

Manuel Bied (1, 2) , Mohamed Chetouani

1 SU - Sorbonne Université
2 ISIR - Institut des Systèmes Intelligents et de Robotique

Considering a human is not only solving a task, but actively teaching how to solve it to a robot has not been extensively explored and is an important step to improve LfD algorithms. We explored the difference between solving and teaching in a sensorimotor task. In a first experiment participants first solved a continuous maze task and gave demonstrations for a robot afterwards. While teaching the participants could give negative demonstrations (how not to solve the task). In a second experiment we asked new participants to rate how informative they perceive the demonstrations from the first experiment. The results show that significantly more demonstrations from the Teaching-phase are perceived as informative than from the Solving-phase. Furthermore, significantly more negative than positive demonstrations were perceived as informative.

Mots clés: LfD; Sensorimotor Communication; HRI; Pedagogy

Domaines: Interface homme-machine [cs.HC]; Apprentissage [cs.LG]; Robotique [cs.RO]; Intelligence artificielle [cs.AI]

Manuel Bied, Mohamed Chetouani. Exploring the Difference between Solving and Teaching in Sensorimotor Tasks. HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, Mar 2020, Cambridge, United Kingdom. pp.139-141, ⟨10.1145/3371382.3378284⟩. ⟨hal-02984868⟩