A large-scale brain network can be defined as a set of segregated and integrated regions, that is, distant regions that share strong anatomical connections and functional interactions. Data-driven investigation of such networks has recently received a great deal of attention in blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI). We here review the rationale for suc...

When humans and robots work in close proximity, physical interaction is inevitable. Traditionally, robots treat physical interaction as a disturbance, and resume their original behavior after the interaction ends. In contrast, we argue that physical human interaction is informative: it is useful information about how the robot should be doing its task. We formalize learning from such interactio...

In this paper we present our exploration of the emotional impact robot motion has on humans. We argue and attempt to justify the exploration of a fundamental layer of physical motion, trying to understand how it is being interpreted by observers. We discuss our design philosophy, attempting to create an abstract robotic platform, formless and affordances-less, and to examine it in an explorator...

This paper argues for a special focus on the use of dynamic human interaction to explore datasets while they are being transformed into sound. We describe why this is a special case of both human computer interaction (HCI) techniques and sonification methods. Humans are adapted for interacting with their physical environment and making continuous use of all their senses. When this exploratory i...

study of genotype by environment interaction (gei) has assumed great importance in genotype testing programs due to yield performance of a genotype is a result of interaction between genotype and environment. gei occurs when the performance of the genotypes is not consistent from one environment to another. therefor, 17 barley genotypes with three check cultivars (wa 2196-68/ny6005-18,f1//scoti...