Improving Executive Functions at School in Children With Special Needs by Educational Robotics

Effect of COGNI-MACHINE computational thinking training on executive functions in children aged 9 to 11: Protocol of a cluster randomized controlled trial

We designed a controlled trial protocol that seeks to contribute to cognitive science by studying the effect of thought training on children's executive functions. The study design is a cluster randomized controlled trial, with intra-subject and inter-subject evaluation, with two parallel groups: an experimental group and a TAU control group. With three measures, pre-test, post-test, and follow-up after three months. The participants will be children aged 9 to 11. The allocation will be randomized by groups and not individually. The sample will be a minimum of 44 participants. The primary measures will be neuropsychological tests to assess executive functions. Secondary measures will be a computational thinking test, neuropsychological tests to assess metacognition and attention, and an acceptability scale. The experimental group will participate in the COGNI-MACHINE computational thinking training designed by the first author. The training frequency will be twice a week in 60 min sessions for 12 weeks. The TAU control group will receive computer science classes as usual during the same time as the experimental group. The evaluators taking the measurements will be blinded to the assignment. The investigators in charge of the intervention will be blinded to the results of the evaluations.

A Hybrid Human-Neurorobotics Approach to Primary Intersubjectivity via Active Inference

Interdisciplinary efforts from developmental psychology, phenomenology, and philosophy of mind, have studied the rudiments of social cognition and conceptualized distinct forms of intersubjective communication and interaction at human early life. Interaction theorists consider primary intersubjectivity a non-mentalist, pre-theoretical, non-conceptual sort of processes that ground a certain level of communication and understanding, and provide support to higher-level cognitive skills. We argue the study of human/neurorobot interaction consists in a unique opportunity to deepen understanding of underlying mechanisms in social cognition through synthetic modeling, while allowing to examine a second person experiential (2PP) access to intersubjectivity in embodied dyadic interaction. Concretely, we propose the study of primary intersubjectivity as a 2PP experience characterized by predictive engagement, where perception, cognition, and action are accounted for an hermeneutic circle in dyadic interaction. From our interpretation of the concept of active inference in free-energy principle theory, we propose an open-source methodology named neural robotics library (NRL) for experimental human/neurorobot interaction, wherein a demonstration program named virtual Cartesian robot (VCBot) provides an opportunity to experience the aforementioned embodied interaction to general audiences. Lastly, through a study case, we discuss some ways human-robot primary intersubjectivity can contribute to cognitive science research, such as to the fields of developmental psychology, educational technology, and cognitive rehabilitation.