Previous approaches to the problem of measuring similarity between automatically generated topics have been based on comparison of the topics’ word probability distributions. This paper presents alternative approaches, including ones based on distributional semantics and knowledgebased measures, evaluated by comparison with human judgements. The best performing methods provide reliable estimate...

This paper is concerned with the development of methods that can be used to augment human performance in three degree of freedom (DOF) motion planning tasks. Previous experimental studies have shown that human performance in such motion planning tasks is inadequate, especially when complex objects and/or environments are involved. Our approach is based on the use of Con guration Space (C-Space)...

This paper presents an approach towards distributed human-machine systems based on an open modeling framework. The approach aims to develop a core of new modeling techniques independent of specific engineering domains that allows to analyze different communication channels and cooperation strategies with regard to their effect on the distribution of knowledge and the overall team performance in...

Mathematical human thermal models serve important functions, both theoretical and practical. They allow one to describe complex interactions between basic physiological functions, such as vasomotor responses to thermal stress and exercise, sweating, and shivering. They also allow one to evaluate in a rational manner the effect of clothing properties, exercise, and ambient conditions on human pe...

We present an improved computational model for performing geometric analogy. The model combines two previously modeled strategies and makes explicit claims about when people will use one strategy or the other. We compare the model to human performance on a classic problem set. The model’s strategy shifts, along with working memory load, account for most of the variance in human reaction times.

Early delineation of the most salient portions of a temporal image stream (e.g., a video) could serve to guide subsequent processing to the most important portions of the data at hand. Toward such ends, the present paper documents an algorithm for spatiotemporal salience detection. The algorithm is based on a definition of salient regions as those that differ from their surrounding regions, wit...

Introduction With our contribution we would like to refer to the debate on nanotechnology (NT) and its implications for the public discourse on the relationship of human beings and technologies. Within NT the convergence of some technologies has been considered as a crucial step towards the long term objective of “enhancing human performance”. The discussion was initiated with an US-American wo...

Market orientation is widely accepted as important for company performance. However, scholarly research on market orientation has emphasised the consequences of marketorientation rather than its antecedents. With the growth of the services industry, it has been suggested that internal marketing influences market orientation, as the product received is a human performance, with the employees pla...

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