We propose a novel system for action sequence planning based on combination of affordance recognition and neural forward model predicting the effects execution. By performing predicted futures, we avoid reliance explicit effect definitions multi-step planning. Because learns from experience data, can foresee not just canonical an affordance, but also situation-specific side-effects. This allows...

Business intelligence (BI) becomes increasingly important and is an evolving topic in research and practice. The evolvement of BI, the flexibility of BI systems, and their context-dependency entail diverse and partially contradicting results on BI system use and outcomes. This study examines how and why BI systems are used differently and what the entailing outcomes are. With the theoretical le...

When skill acquisition involves a shift in strategy (such as from rule-based to retrieval-based processing), older adults typically shift later in practice than young adults do. We observed the shift from scanning-based to memory-based processing in a noun pair learning task. Young and older adults were trained in conditions in which the relationship between memory load and scanning load was ma...

This paper investigates an approach to human-computer interaction – actability theory – that emphasises human-via-computer-to-human interaction. This social action approach to HCI is confronted with affordance theory by Gibson; an ecological theory of perception. The notion of affordance is compared and related to actability. Different IT usage situations described in actability theory are crit...

A system is described which takes synergies extracted from human grasp experiments and maps these onto a robot vision and hand-arm platform to facilitate the transfer of skills [1]. This system forms part of a framework which is extended by adding a self organizing map based affordance learning system. This affordance system learns the correlations between perceived object features and relevant...

The concept of “affordance” represents the relationship between human perceivers and their environment. Affordance perception, representation, and inference are central to commonsense reasoning, tool-use and creative problem-solving in artificial agents. Existing approaches fail to provide flexibility with which to reason about affordances in the open world, where they are influenced by changin...

As robots begin to collaborate with humans in everyday workspaces, they will need to understand the functions of tools and their parts. To cut an apple or hammer a nail, robots need to not just know the tool’s name, but they must localize the tool’s parts and identify their functions. In this extended abstract, we give an overview of our work on localizing and identifying object part affordance...

Video games are now acknowledged as a prominent part of popular culture and played by an audience wider and more varied than ever before. Considerable recent research shows that people engage with games differently, and these variations may be attributable to individual differences. Understanding the impact of personality on behavior in games has several benefits: more inclusive design practice...

This paper provides an account of the inter-psychological processes that constitute learning through work. It does this by drawing on deliberations about the relative contributions of the immediate social world (i.e., workplace setting) that individuals encounter and the personal premises for individuals’ learning. This account is realised through analyses of workers’ experiences of working and...

Interactive whiteboards (IWBs) have been widely introduced to English primary schools (5–11 years) in the last decade and this has generated much research interest. In the past, research has focused on IWB-use in teacher-led sessions, attending particularly to the nature of teacher-pupil interaction at the IWB and the apparent motivational advantages for children. In contrast, this study focuse...