Validation is critically important when human performance models are used to predict the effect of future system designs on human performance. A model of flight deck operations was validated using a rigorous, iterative, model validation process. The process included the validation of model inputs (task trace and model input parameters), process models (workload, perception, and visual attention...

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This paper is an attempt to investigate whether a computer is capable of finding similar information in structurally different texts, as people do it, without relying on lexical matching and without guessing the meaning of sentences based on word cooccurrence. Considered texts describe the same event, but each text may focus on different parts of the event. The considered texts are not paraphra...

In November, 1996, the Message Understanding Conference-6 (MUC-6) evaluation of named entity identification demonstrated that systems are approaching human performance on English language texts [10]. Informal and anonymous, the MET provided a new opportunity to assess progress on the same task in Spanish, Japanese, and Chinese. Preliminary results indicate that MET systems in all three language...

M. Kargarfard1, A. Shariat2, E. Lam3, B. Shaw4, I. Shaw4,5 and A. Shariat6 1Department of Sport Physiology, Faculty of Physical Education and Sport Sciences, University of Isfahan, Isfahan, Iran 2Department of Occupational Health, Faculty of Medicine and Health Sciences, University Putra, Malaysia 3Department of Health and Human Performance, Cleveland State University, Cleveland, Ohio, USA 4Dep...

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This paper presents a review of available information related to human performance to support Human Reliability Analysis (HRA) performed for nuclear power plants (NPPs). A number of data sources are identified as potentially useful. These include NPP licensee event reports, augmented inspection team reports, operator requalification data, results from the literature in experimental psychology, ...

Previous studies of human performance in deception detection have found that humans generally are quite poor at this task, comparing unfavorably even to the performance of automated procedures. However, different scenarios and speakers may be harder or easier to judge. In this paper we compare human to machine performance detecting deception on a single corpus, the ColumbiaSRI-Colorado Corpus o...

Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The brain, however, has to solve a more general problem: it also has to establish which signals come from the same source and should be integrated, and which ones do not and should be segregated. In the last couple of years...