Year: 2016
Type: article
Abstract: Measuring “how much the human is in the interaction” – the level of engagement – is instrumental in building effective interactive robots. Engagement, however, is a complex, multi-faceted cognitive mechanism that is only indirectly observable. \nThis article formalizes with-me-ness as one of such indirect \nmeasures. With-me-ness, a concept borrowed from the field of \nComputer-Supported Collaborative Learning, measures in a welldefined way to what extent the human is with the robot over \nthe course of an interactive task. As such, it is a meaningful \nprecursor of engagement. We expose in this paper the full \nmethodology, from real-time estimation of the human’s focus of \nattention (relying on a novel, open-source, vision-based head pose estimator), to on-line computation of with-me-ness. We report as well on the experimental validation of this approach, using a naturalistic setup involving children during a complex robotteaching task.
Authors: Lemaignan, S., Garcia, F., Jacq, A., Dillenbourg, P.
Institution: École Polytechnique Fédérale de Lausanne
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2274443091