The present study aimed to satisfy a twofold purpose: On the one hand, it sought to verify the postulation that agent-based instruction could offer a compromise approach to teaching L2 idioms where form and meaning would be equally emphasized during instruction. Given that anthropomorphism has not been much under scrutiny, this research, on the other hand, sought to ascertain whether learning a...

This paper presents results from an HRI study that involved participants interacting with robots of different appearances. The particular focus of this paper is how anthropomorphic attributions impacted the proxemic expectations of the robots’ behaviour as well as the postexperimental evaluations of the robot. The results suggest that a higher degree of anthropomorphic attribution is linked to ...

The analytical model of a robot dynamics represents an important tool for both the analysis and the synthesis of robot control algorithms. Based on the Euler-Lagrange formalism, the contribution presents a MATLAB-SIMULINK dynamic model of the 3-DOF anthropomorphic robot manipulator with revolute joints. A significant simplification of the model has been accomplished via the concentration of the...

The paper describes a prototype anthropomorphic kinesthetic telepresence system that is being developed at JP1.. It utilizes dexterous terminus devices in form of an exoskeleton force-sensing master glove worn by the operator and a replica four finger anthropomorphic slave hand. The newly developed master glove is integrated with our previously developed non-anthropomorphic six degree-of-freedo...

In this paper we propose an approach to distinguish affordances on a fine-grained scale. We define an anthropomorphic agent model and parameterized affordance models. The agent model is transformed according to affordance parameters to detect affordances in the input data. We present first results on distinguishing two closely related affordances derived from sitting. The promising results supp...

By analyzing human readers’ performance in detecting small round lesions in simulated digital breast tomosynthesis background in a location known exactly scenario, we have developed a model observer that is a better predictor of human performance with different levels of background complexity (i.e., anatomical and quantum noise). Our analysis indicates that human observers perform a lesion dete...