1 Karel Kreijns, Open University of the Netherlands, Department of Natural and Technical Sciences, Heerlen, The Netherlands, [email protected] 2 Paul A. Kirschner, Open University of the Netherlands, Educational Technology Expertise Center, Heerlen, The Netherlands, [email protected] Abstract  Field observations report that contemporary computer-supported collaborative learning (CSCL) env...

Mirror neurons and canonical neurons are two classes of visuomotor neurons that are activated by different visual stimuli (Rizzolatti and Kalaska, 2012). Mirror neurons respond to a biological effector interacting with an object (Gallese et al., 1996), suggesting their role in action recognition, while canonical neurons respond to the presentation of a graspable object (Murata et al., 1997), an...

The purpose of this single-case study was to explore the lived experiences of a grade 6 teacher and students who used tablets as part of their classroom instruction. Malone and Lepper’s taxonomy of intrinsic motivations for learning is used as a framework for examining whether and how this particular theory of motivation applies equally well for mobile learning. This study reports on the grade ...

Humans demonstrate remarkable capabilities to use a variety of grasp strategies for a given object depending on the context of the task often referred to as grasp affordances in dexterous hands. The interplay among the nervous system, the morphology of the human hand, and the properties of the object to demonstrate these advanced grasp affordance skills are not well understood yet. A key hypoth...

The relation between energy consumption and its environmental impact is weak or even almost inexistent in the Brazilian scenario due to sociocultural reasons. This work takes advantage of an experimental smart grid deployment scenario to propose the concept of Social Eco-feedback Technology. It aims at establishing this relation by promoting a new social affordance (behavior pattern), favoring ...

Localizing functional regions of objects or affordances is an important aspect of scene understanding. In this work, we cast the problem of affordance segmentation as that of semantic image segmentation. In order to explore various levels of supervision, we introduce a pixelannotated affordance dataset of 3090 images containing 9916 object instances with rich contextual information in terms of ...

We propose a new way to describe affordances for action. Previous characterizations of affordances treat action possibilities as binary categories-either possible or impossible-separated by a critical point. Here, we show that affordances are probabilistic functions, thus accounting for variability in motor performance. By measuring an affordance function, researchers can describe the likelihoo...

Expressive AI is a hybrid practice, combining artificial intelligence (AI) research and art making, that simultaneously focuses on the negotiation of meaning mediated by an art object and the internal structure of AI systems. These two apparently disparate views are unified through the concept of affordance: negotiation of meaning is conditioned by interpretive affordances while the internal st...