The design of reliable visual quality metrics is complicated by our limited knowledge of the human visual system and the resulting variety of pertinent vision models. We have begun to analyze and compare a number of implementation choices for some components found in most of today’s visual quality metrics that are based on a model of human vision and present the first results here.

Metrics for evaluating the quality of a human-robot interface are introduced. The autonomy of a robot is measured by its neglect time. The robot attention demand metric measures how much of the user’s attention is involved with instructing a robot. The free-time and fan-out metrics are two ways to measure this demand. Each of them leads to estimates of the interaction effort. Reducing interacti...

Abstract As humans play a significant role in maintaining, supporting, and operating systems, it is important to include digital engineering models ensure that the sociotechnical system capable of meeting stakeholder requirements. The current research proposes taxonomy metrics taxonomic nomenclature useful for representing systems integration. This intended provide structure considering framewo...

When facing a data mining task, human experts tend to be responsible for proposing the hypotheses that lead to the discovery of interesting patterns. Recently, there is interest in automating the hypothesis generation process to reduce the load on the human expert during data mining. However, if we want an artificial agent to undertake this new role, we also need new metrics to measure the succ...

This article outlines the evaluation protocol and provides the main results of the French Evaluation Campaign for Machine Translation Systems, CESTA. Following the initial objectives and evaluation plans, the evaluation metrics are briefly described: along with fluency and adequacy assessed by human judges, a number of recently proposed automated metrics are used. Two evaluation campaigns were ...

This work addresses the objective prediction of human uncorrected decimal visual acuity, an unsolved challenge due to contribution both physical and neural factors. An alternative approach assess image quality system can be addressed from video processing perspective. Human tolerance degradation is quantified by mean opinion scores, several assessment algorithms are used maintain, control, impr...

nowadays, with the development of human societies and more mastery over the environment, to environmental changes caused by the faster and wider than before the occurrence of the joins. so having the necessary information about these changes and to manage the natural order is essential to sustainable ecosystems, metrics of landscape is tools landscape situation are few mechanisms that cause the...

We show that metrics derived from recording gaze while reading, are better proxies for machine translation quality than automated metrics. With reliable eyetracking technologies becoming available for home computers and mobile devices, such metrics are readily available even in the absence of representative held-out human translations. In other words, readingderived MT metrics offer a way of ge...

The current project is a preliminary attempt at assessing the potential of a three-dimensional virtual reality Stroop task (VRST) for investigation of supervisory attentional processing. The VRST was compared with paper-and-pencil and computer automated (two-dimensional) versions of the Stroop. Psychophysiological measures were also used to assess varying levels of user arousal. The three versi...