1,721,012 research outputs found

    Employing spatial sonification of target motion in tracking exercises

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    This paper presents the results of an experiment in which the effect of spatial sonification of a moving target on the user's performance during the execution of basic tracking exercises was investigated. Our starting hypothesis is that a properly designed multimodal continuous feedback could be used to represent temporal and spatial information that can in turn improve performance and motor learning of simple target following tasks. Sixteen subjects were asked to track the horizontal movement of a circular visual target by controlling an input device with their hand. Two different continuous task-related auditory feedback modalities were considered, both simulating the sound of a rolling ball, the only difference between them being the presence or absence of binaural spatialization of the target's position. Results demonstrate how spatial auditory feedback significantly decreases the average tracking error with respect to visual feedback alone, contrarily to monophonic feedback. It was thus found how spatial information provided through sound in addition to visual feedback helps subjects improving their performance

    Una prospettiva critica sui dataset per la sintesi text-to-audio

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    Text-to-audio synthesis (TTA) promises sound generation mediated solely by natural language. Like all generative deep learning techniques, it derives its world memory and semantic boundaries from the dataset with which it is trained. Following a humanistic tradition of critical algorithm analysis, this article examines the datasets employed by various text-to-audio synthesis models and how they are designed and manipulated by researchers. Datasets are not inert informational structures, but socio-technical objects involving specific symbolisations mediated by cultural, po litical, and industrial perspectives. A comparative study of label datasets, caption datasets, and algorithmically augmented datasets reveals the technical and ethical limitations associated with a quantitative approach to data collection. In contrast to a purely computational dataset evaluation paradigm, a qualitative analysis methodology is proposed to interpret the connotative capability of models and suggest alternative practices in the collection of information

    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

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