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The URM Model [14] characterizes use errors in terms of the user's failure to manage a system deficiency. Six categories of use errors are described in a URM document: Expected faults with risky results; Expected faults with unexpected results; Expected user errors in identifying risky situations (this study); User Errors in handling expected ...
These phrases are used as a humorous [7] way to describe user errors. A highly popularized example of this is a user mistaking their CD-ROM tray for a cup holder, or a user looking for the "any key". However, any variety of stupidity or ignorance-induced problems can be described as user errors.
In statistical hypothesis testing, there are various notions of so-called type III errors (or errors of the third kind), and sometimes type IV errors or higher, by analogy with the type I and type II errors of Jerzy Neyman and Egon Pearson. Fundamentally, type III errors occur when researchers provide the right answer to the wrong question, i.e ...
These phrases are used as a humorous [7] way to describe user errors. A highly popularized example of this is a user mistaking their CD-ROM tray for a cup holder, or a user looking for the "any key". However, any variety of stupidity or ignorance-induced problems can be described as user errors. PEBKAC/PEBCAK/PICNIC
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.
Contextual inquiry (CI) is a user-centered design (UCD) research method, part of the contextual design methodology.A contextual inquiry interview is usually structured as an approximately two-hour, one-on-one interaction in which the researcher watches the user in the course of the user's normal activities and discusses those activities with the user.
The technique provides the user with useful suggestions as to how to reduce the occurrence of errors [4] It provides ready linkage between Ergonomics and Process Design, with reliability improvement measures being a direct conclusion which can be drawn from the assessment procedure. It allows cost benefit analyses to be conducted
While the general arguments in the paper recommending reforms in scientific research methodology were well-received, Ionnidis received criticism for the validity of his model and his claim that the majority of scientific findings are false. Responses to the paper suggest lower false positive and false negative rates than what Ionnidis puts forth.