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 ...

This paper is a comparative study of gestural interaction with musical sound, designed to gain insight into the notion of musical affordance on interactive music systems. We conducted an interview base user study trialing three accelerometer based devices, an iPhone, a Wii-mote, and an Axivity Wax prototype, with four kinds of musical sound, including percussion, stringed instruments, and voice...

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 ...

Affordance learning has, in recent years, been generating heightened interest in both the cognitive vision and developmental robotics communities. In this paper we describe the development of a system that uses a robotic arm to interact with household objects on a table surface while observing the interactions using camera systems. Various computer vision methods are used to derive, firstly, ob...

Imitation is not only a powerful means to drastically downsize the exploration space when learning behavior. It also helps to align the learning efforts of a robot group towards a common goal. However, one prerequisite in imitation, the decision of which robot to imitate, is often factored out in current research. In our work we address this question by providing a means to measure the similari...

Cañal-Bruland and van der Kamp present an argument about the incommensurate relationship between affordance perception and spatial perception in a criticism of Proffitt and Linkenauger's phenotypic approach to perception. Many of their criticisms are based on a difference in the interpretation of the core ideas underlying the phenotypic approach. The most important of these differences in inter...

Motivation as key factor for maintaining effective learning must be maintained during computer-supported learning. For this, we attempt to investigate the benefits of a socially intelligent tutoring agent that goes beyond attending to aspects of an individual student, the tutoring friend. In a computer-supported learning system, a tutoring friend is an artificial agent that manages relationship...

This paper presents a formal model for gameplay based upon the affordances available to the player that are linked to game objects. It has been constructed via an extensive analysis of major first-person games 1998-2008, although it is argued it may extend to all diegetic games. Gameplay can be understood as a network of allowed actions, that can be summarised as a small number of archetypal af...