Board games as a teaching tool for technology classes in Compulsory Secondary Education

Aquest treball estudia la tècnica coneguda com game-based learning, és a dir, l’ús dels jocs com a eina didàctica. Primer que res, es fa recerca sobre els treballs ja existents i es veu que, tot i haver-hi articles sobre game-based learning, és difícil trobar-ne de relacionats amb la tecnologia, més enllà d’ensenyar a programar. A continuació, es revisen els continguts curriculars i les competències de secundària i es relacionen amb alguns jocs de taula ja existents, dels quals es detallen breument les regles de joc. Es veu que hi ha continguts curriculars, pels quals es difícil trobar un joc que hi encaixi. A més a més, es desenvolupa la idea d’un nou joc de taula, basat en el ja existent Party & Co., per treballar alguns dels continguts curriculars pels quals no s’ha trobat cap joc existent que s’hi escaigui. Finalment, s’explica una experiència duta a terme durant el període de pràctiques en el centre escolar al curs de 3r d’ESO. Es disposava de tres grups i en tots tres es va seguir la mateixa programació: classe introductòria expositiva, una sessió de muntatge de robots LEGO, 4 sessions de programació i un petit test. En un dels tres grups, però, es va fer una classe prèvia extra on es va jugar a un joc de taula anomenat RoboRally. Els objectius eren dobles: que aprenguessin la importància de l’algorísmica i que s’ho passessin bé. Els resultats mostren que aquest grup va treballar més i millor. En el treball s’analitzen els resultats obtinguts

A Novel Reinforcement-Based Paradigm for Children to Teach the Humanoid Kaspar Robot

© The Author(s) 2019. This is the final published version of an article published in Psychological Research, licensed under a Creative Commons Attri-bution 4.0 International License. Available online at: https://doi.org/10.1007/s12369-019-00607-xThis paper presents a contribution to the active field of robotics research with the aim of supporting the development of social and collaborative skills of children with Autism Spectrum Disorders (ASD). We present a novel experiment where the classical roles are reversed: in this scenario the children are the teachers providing positive or negative reinforcement to the Kaspar robot in order for the robot to learn arbitrary associations between different toy names and the locations where they are positioned. The objective of this work is to develop games which help children with ASD develop collaborative skills and also provide them tangible example to understand that sometimes learning requires several repetitions. To facilitate this game we developed a reinforcement learning algorithm enabling Kaspar to verbally convey its level of uncertainty during the learning process, so as to better inform the children interacting with Kaspar the reasons behind the successes and failures made by the robot. Overall, 30 Typically Developing (TD) children aged between 7 and 8 (19 girls, 11 boys) and 6 children with ASD performed 22 sessions (16 for TD; 6 for ASD) of the experiment in groups, and managed to teach Kaspar all associations in 2 to 7 trials. During the course of study Kaspar only made rare unexpected associations (2 perseverative errors and 1 win-shift, within a total of 272 trials), primarily due to exploratory choices, and eventually reached minimal uncertainty. Thus the robot's behavior was clear and consistent for the children, who all expressed enthusiasm in the experiment.Peer reviewe

CHI and the future robot enslavement of humankind: a retrospective

As robots from the future, we are compelled to present this important historical document which discusses how the systematic investigation of interactive technology facilitated and hastened the enslavement of mankind by robots during the 21st Century. We describe how the CHI community, in general, was largely responsible for this eventuality, as well as how specific strands of interaction design work were key to the enslavement. We also mention the futility of some reactionary work emergent in your time that sought to challenge the inevitable subjugation. We conclude by congratulating the CHI community for your tireless work in promoting and supporting our evil robot agenda

Interactional Structure Applied to the Identification and Generation of Visual Interactive Behavior: Robots that (Usually) Follow the Rules

Peer reviewe

Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

As robotic systems are moved out of factory work cells into human-facing environments questions of choreography become central to their design, placement, and application. With a human viewer or counterpart present, a system will automatically be interpreted within context, style of movement, and form factor by human beings as animate elements of their environment. The interpretation by this human counterpart is critical to the success of the system's integration: knobs on the system need to make sense to a human counterpart; an artificial agent should have a way of notifying a human counterpart of a change in system state, possibly through motion profiles; and the motion of a human counterpart may have important contextual clues for task completion. Thus, professional choreographers, dance practitioners, and movement analysts are critical to research in robotics. They have design methods for movement that align with human audience perception, can identify simplified features of movement for human-robot interaction goals, and have detailed knowledge of the capacity of human movement. This article provides approaches employed by one research lab, specific impacts on technical and artistic projects within, and principles that may guide future such work. The background section reports on choreography, somatic perspectives, improvisation, the Laban/Bartenieff Movement System, and robotics. From this context methods including embodied exercises, writing prompts, and community building activities have been developed to facilitate interdisciplinary research. The results of this work is presented as an overview of a smattering of projects in areas like high-level motion planning, software development for rapid prototyping of movement, artistic output, and user studies that help understand how people interpret movement. Finally, guiding principles for other groups to adopt are posited.Comment: Under review at MDPI Arts Special Issue "The Machine as Artist (for the 21st Century)" http://www.mdpi.com/journal/arts/special_issues/Machine_Artis