Hélène Larouche
Université de Sherbrooke
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Publication
Featured researches published by Hélène Larouche.
systems man and cybernetics | 2005
François Michaud; Jean-François Laplante; Hélène Larouche; Audrey Duquette; Serge Caron; Dominic Létourneau; Patrice Masson
This paper presents the design process of a spherical robot capable of autonomous motion, and demonstrates how it can become a tool in child-development studies. The robot, named Roball, is capable of intentional self-propelled movements and can generate various interplay situations using motion, messages, sounds, illuminated parts and other sensors. Such capabilities allow Roball to interact with young children in simple and interesting ways, and to provide the potential of contributing to the development of their language, affective, motor, intellectual and social skills. Trials done with 12-24-month-old children demonstrate how Roball can be used to study childrens interest in a self-propelled and intentional device. An experimental methodology to conduct such studies is presented: it is based on quantitative and qualitative techniques to evaluate interactions, thus enabling the identification of challenges and opportunities in child-robot interaction studies.
International Journal of Social Robotics | 2010
Tamie Salter; François Michaud; Hélène Larouche
When thinking about Child-Robot Interaction (CRI) in the ‘wild’ or natural settings, many ideas come to mind, such as a home or a school that involve chaotic settings with autonomous robotic devices and people that are freely interacting with them. However, there certainly are degrees of ‘wild’, and different experimental settings can have varying levels of control in place. It would be helpful to have a common framework to interpret and identify the many different influencing factors or levels of control surrounding CRI experimentation. Having a framework to help towards standardizing evaluation of CRI studies would benefit researchers wishing to identify or plan the varying dimensions present in CRI experimentation. This paper presents a simple taxonomy to characterize the ‘wildness’ factors in CRI over two main dimensions (Participant and Robotic) that can effect the overall outcome of such studies. The use of this taxonomy is illustrated by its application to current CRI research. Specifically, we use it in reflection to rate six of our CRI trials that have been conducted over a ten year period. From the classification of these studies, a general view of our work so far is outlined and new research perspectives are identified. The application of the taxonomy is also validated by reviewing a selection of other CRI studies.
national conference on artificial intelligence | 2007
François Michaud; Tamie Salter; Audrey Duquette; Henri Mercier; Michel Lauria; Hélène Larouche; François Larose
Revue des sciences de l'éducation | 2005
Hélène Larouche
CMBES Proceedings | 2017
François Michaud; Tamie Salter; Audrey Duquette; Henri Mercier; Michel Lauria; Hélène Larouche; F. Larosse
Revue des sciences de l'éducation | 2007
Hélène Larouche
Revue des sciences de l'éducation | 2010
Hélène Larouche
Revue des sciences de l'éducation | 2010
Hélène Larouche
Revue des sciences de l'éducation | 2008
Hélène Larouche
Nouveaux cahiers de la recherche en éducation | 2007
Hélène Larouche