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: (1)(More)
Economic games in field settings have been subject to criticism concerning their ecological validity. We use social identity theory and the intergroup contact hypothesis as a framework to illustrate how economic games can be applied to field settings with higher ecological validity. A quasi-experiment in two rural Cameroonian villages studied participants’(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)
In this contribution, we look at technology transfer in robotics. Generally, there is a delay between a science-push and a market-pull. In order of finding means to decrease this lag, we are going to look at the causes of this effect and at the means for improving technology transfer. For this purpose, we use a variety of data sources which shed light on(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)
Many applications in the fields of Service Robotics and Industrial Human-Robot Collaboration, require interaction with a human in a potentially unstructured environment. In many cases, a natural language interface can be helpful, but it requires powerful means of knowledge representation and processing, e.g., using ontologies and reasoning. In this paper we(More)
Dr. Alexander Waibel is a Professor of Computer Science at Carnegie Mellon University, Pittsburgh and at the Karlsruhe Institute of Technology, Germany. He is the director of the International Center for Advanced Communication Technologies, a joint center at eight international research institutions worldwide. The Center develops multimodal and multilingual(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)
We present computational experiments on language segmentation 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)