34,396 research outputs found

    Error by design: Methods for predicting device usability

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    This paper introduces the idea of predicting ‘designer error’ by evaluating devices using Human Error Identification (HEI) techniques. This is demonstrated using Systematic Human Error Reduction and Prediction Approach (SHERPA) and Task Analysis For Error Identification (TAFEI) to evaluate a vending machine. Appraisal criteria which rely upon user opinion, face validity and utilisation are questioned. Instead a quantitative approach, based upon signal detection theory, is recommended. The performance of people using SHERPA and TAFEI are compared with heuristic judgement and each other. The results of these studies show that both SHERPA and TAFEI are better at predicting errors than the heuristic technique. The performance of SHERPA and TAFEI are comparable, giving some confidence in the use of these approaches. It is suggested that using HEI techniques as part of the design and evaluation process could help to make devices easier to use

    Detecting fraud: Utilizing new technology to advance the audit profession

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    Vertex identifying codes for the n-dimensional lattice

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    An rr-identifying code on a graph GG is a set C⊂V(G)C\subset V(G) such that for every vertex in V(G)V(G), the intersection of the radius-rr closed neighborhood with CC is nonempty and different. Here, we provide an overview on codes for the nn-dimensional lattice, discussing the case of 1-identifying codes, constructing a sparse code for the 4-dimensional lattice as well as showing that for fixed nn, the minimum density of an rr-identifying code is Θ(1/rn−1)\Theta(1/r^{n-1}).Comment: 10p

    Book review: Naming what we know: threshold concepts of writing studies, Linda Adler-Kassner & Elizabeth Wardle (Eds.)

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    Review of 'Naming What We Know: Threshold Concepts of Writing Studies' (2015) Linda Adler-Kassner & Elizabeth Wardle (Eds.), Boulder: UP of Colorado

    Developing and validating theory in ergonomics science

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    Situation awareness measurement: A review of applicability for C4i environments

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    The construct of situation awareness (SA) has become a core theme within the human factors (HF) research community. Consequently, there have been numerous attempts to develop reliable and valid measures of SA but there is a lack of techniques developed specifically for the assessment of SA in command, control, communication, computers and intelligence (C4i) environments. During the design, development and evaluation of novel systems, technology and procedures, valid and reliable situation awareness measurement techniques are required for the assessment of individual and team SA, in order to determine the improvements (or in some cases decrements) resulting from proposed design and technological interventions. The paper presents a review of existing situation awareness measurement techniques for their suitability for use in the assessment of SA in C4i environments. Seventeen SA measures were evaluated against a set of HF methods criteria. It was concluded that current SA measurement techniques are inadequate by themselves for use in the assessment of SA in C4i environments, and a multiple-measure approach utilising different approaches is recommended
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