1,721,037 research outputs found

    Advanced interaction paradigms to define smart visit experiences in the internet of things era

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    The growing spread of smart objects is changing the way humans interact with technologies since the interaction they propose is more and more physical and less virtual. From an HCI perspective, one of the most interesting aspects regards how non-technical end users can program the behavior of such smart objects. This poster presents an ongoing project on three novel interaction paradigms that support the creation of smart visit experiences. Copyright is held by the author/owner(s)

    Preface

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    In this paper we propose to use radial layouts for representing the matching between the user’s interest and particular objects and/or categories. The technique supports the visualization of different data: we discuss here the relationships on social networks, the related videos on YouTube and topics in Wikipedia. The user can change the position of the object in the representation, which can be used in recommender systems for providing a fine-grained control over its internal preference representation

    GestIT: a declarative and compositional framework for multiplatform gesture definition

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    Gestural interfaces allow complex manipulative interactions that are hardly manageable using traditional event handlers. Indeed, such kind of interaction has longer duration in time than that carried out in form-based user interfaces, and often it is important to provide users with intermediate feedback during the gesture performance. Therefore, the gesture specification code is a mixture of the recognition logic and the feedback definition. This makes it difficult 1) to write maintainable code and 2) reuse the gesture definition in different applications. To overcome these kinds of limitations, the research community has considered declarative approaches for the specification of gesture temporal evolution . In this paper, we discuss the creation of gestural interfaces using GestIT, a framework that allows declarative and compositional definition of gestures for different recognition platforms (e.g. multitouch and fullbody), through a set of examples and the comparison with existing approache

    Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion

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    Recommender systems filter the items a user did not evaluate, in order to acquire knowledge on the those that might be suggested to her. To accomplish this objective, they employ the preferences the user expressed in forms of explicit ratings or of implicitly values collected through the browsing of the items. However, users have different rating behaviors (e.g., users might use just the ends of the rating scale, to expressed whether they loved or hated an item), while the system assumes that the users employ the whole scale. Over the last few years, {\em Singular Value Decomposition} (SVDSVD) became the most popular and accurate form of recommendation, because of its capability of working with sparse data, exploiting latent features. This paper presents an approach that pre-filters the items a user evaluated and removes those she did not like. In other words, by analyzing a user's rating behavior and the rating scale she used, we capture and employ in the recommendation process only the items she really liked. Experimental results show that our form of filtering leads to more accurate recommendations

    A two-step, user-centered approach to personalized tourist recommendations

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    Geo-localized, mobile applications can simplify a tourist visit, making the relevant Point of Interests more easily and promptly discernible to users. At the same time, such solutions must avoid creating unfitting or rigid user profiles that impoverish the users' options instead of refining them. Currently, user profiles in recommender systems rely on dimensions whose relevance to the user is more often presumed than empirically defined. To avoid this drawback, we build our recommendation system in a two-step process, where profile parameters are evaluated preliminarily and separately from the recommendations themselves. We describe this two-step evaluation process including an initial survey (N = 206), and a subsequent controlled study (N = 24). We conclude by emphasizing the benefit and generalizability of the approac

    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
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