We review the psychological notion of affordances and examine it anew from a cognitive systems perspective. We distinguish between environmental affordances and their internal representation, choosing to focus on the latter. We consider issues that arise in representing mental affordances, using them to understand and generate plans, and learning them from experience. In each case, we present t...

This study extends the learning and use of affordances on robots on two fronts. First, we use the very same affordance learning framework that was used for learning the affordances of inanimate things to learn social affordances, that is affordances whose existence requires the presence of humans. Second, we use the learned affordances for making multi-step plans. Specifically, an iCub humanoid...

Movement in Parkinson's disease (PD) is strongly influenced by sensory stimuli. Here, we investigated two features of visual stimuli known to affect response times in healthy individuals; the spatial location of an object (the spatial effect) and its action-relevance (the 'affordance' effect). Poliakoff et al. (2007) found that while PD patients show normal spatial effects, they do not show an ...

Interactions between human and objects are made through specific features of the object, which are adequate to the task context. During interactions, the perceived features vary according to the context. Affordances are the messages that products provide and users perceive in such a way that user actions are naturally induced with the help of such messages. In this research, we define affordanc...

We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple objects and their affordances from RGB images. Our AffordanceNet has two branches: an object detection branch to localize and classify the object, and an affordance detection branch to assign each pixel in the object to its most probable affordance label. The proposed framework employs three key components ...

When designing and implementing an Agent-Based Simulation model a major challenge is to formulate the interactions between agents and between agents and their environment. In this contribution we present an approach for capturing agent-environment interactions based on the “affordance” concept. Originated in ecological psychology, affordances represent relations between environmental objects an...

Extant research has identified the significance of technological affordances in computer-supported learning environments. However, until recently, there is scarcely empirical on for organizing collaboration these To address this gap, study empirically examines a simulation-based environment. We focus, particular understanding how environment are perceived and employed by learners during task. T...

Design knowledge reuse is widely accepted as an effective strategy for designers to develop robust artifacts with less time and lower cost. However, there has been very little research on how to help designers capture detailed design knowledge for reuse. As a result, most detailed design knowledge still has to remain in designers’ memories as tacit knowledge, which can easily get lost due to ob...