Sascha S. Griffiths

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The work at hand addresses the question: What kind of navigation behavior do humans expect from a robot in a path crossing scenario? To this end, we developed the " Inverse Oz of Wizard " study design where participants steered a robot in a scenario in which an instructed person is crossing the robot's path. We investigated two aspects of robot behavior:(More)
In this paper we address the question how a human would expect a robot to move when a human is crossing its way. In particular we consider the problem that physical capabilities of robots differ from humans. In order to find out how humans expect a robot, with non humanlike capabilities, to move we designed and conducted a study were the participants steer(More)
—We designed a laboratory study to investigate the influence of social interaction on category learning. The objective in the present study is to examine what kind of teaching behavior can improve an agent's learning of categories. In a computer-based study participants learned four categories for sixteen objects which appear on a computer screen. The(More)
We present computational experiments on language segmen-tation using a general information-theoretic cognitive model. We present a method which uses the statistical regularities of language to segment a continuous stream of symbols into " meaningful units " at a range of levels. Given a string of symbols—in the present approach, textual representations of(More)
In order for artificial intelligent systems to interact naturally with human users, they need to be able to learn from human instructions when actions should be imitated. Human tutoring will typically consist of action demonstrations accompanied by speech. In the following, the characteristics of human tutoring during action demonstration will be examined.(More)
This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning(More)
We propose an approach for the representation of actions based on the conceptual spaces framework developed by Gärdenfors (2004). Action categories are regarded as properties in the sense of Gärdenfors (2011) and are understood as convex regions in action space. Action categories are mainly described by a force signature that represents the forces that act(More)
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