1,721,007 research outputs found

    The Binary-Based Model (BBM) for Improved Human Factors Method Selection

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    Objective: This paper presents the Binary-Based Model (BBM), a new approach to Human Factors (HF) method selection. The BBM helps practitioners select the most appropriate HF methodology in relation to the complexity within the target system. Background: There are over 200 HF methods available to the practitioner and little guidance to help choose between them. Method: The BBM defines a HF “problem space” comprising three complexity attributes. HF problems can be rated against these attributes and located in the “problem space.” In addition, a similar HF “approach space” in which 66 predictive methods are rated according to their ability to confront those attributes is defined. These spaces are combined into a “utility space” in which problems and methods coexist. In the utility space, the match between HF problems and methods can be formally assessed. Results: The method space is split into octants to establish broad groupings of methods distributed throughout the space. About 77% of the methods reside in Octant 1 which corresponds to problems with low levels of complexity. This demonstrates that most HF methods are suited to problems in low-complexity systems. Conclusion: The location of 77% of the rated methods in Octant 1 indicates that HF practitioners are underserved with methods for analysis of HF problems exhibiting high complexity. Application: The BBM can be used by multidisciplinary teams to select the most appropriate HF methodology for the problem under analysis. All the materials and analysis are placed in the public domain for modification and consensus building by the wider HF community.</p

    'Pro' social media : using key social psychological theories to increase prosocial engagement on social media sites

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    Prosocial Behaviour has a strong history rooted in Social Psychology. However, it has yet to be researched in the realm of social media. This line of research aims to better understand Prosocial Behaviour in social media environments and learn how to increase positive engagement online through the theoretical framework of Walther’s (1996) hyperpersonal model of computer-mediated communication. Four studies were conducted to obtain this goal. The first two studies explore what factors affect prosocial behaviour on social media sites. In particular, study one examines how gender, appearance, and number of social media friends affect whether or not individuals will give aid to their friends. The outcome suggested that the less social media friends a person had, the less likely the individual would help. Study two delves into whether the bystander effect and personalisation affect Prosocial Behaviour on social media sites. The bystander effect did not affect helping but personalising a message made it more than two times more likely that an individual would receive help. The third study looks at some barriers that prevent prosocial behaviour on social media sites. Three main barriers resulted including ‘Information Overload,’ ‘Can’t Live with It, Can’t Live without It,’ and ‘Privacy and Permanence of Information.’ The final study examines Prosocial Behaviour in a social media context through the means of two events where social media played an important role in helping behaviour. These events exemplified that social media is a powerful tool and can be used to effectively promote Prosocial Behaviour and also provided support for Walther’s hyperpersonal model. As the first to delve into helping behaviour on social media sites, this thesis advances the current body of knowledge on Prosocial Behaviour. In addition, the four studies provide vital knowledge on how to increase prosocial behaviour online using Walther’s (1996) hyperpersonal model on CMC. With the current Social Media Revolution and time spent online, it is vital to make social media engagement more positive and user friendly. The three main ways to increase positive online engagement gleaned from this thesis are 1) Make things personal, 2) Create a social media group with a hierarchical structure, and 3) Edit privacy settings and friend/follower settings on personal social media pages to fit one’s individual need

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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