1,721,363 research outputs found

    Social Housing e riqualificazione degli spazi aperti. Il caso studio di Scampia (NA)

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    Starting from an experimental didactic experience on the Scampia neighbourhood (Na), a place where the works realised are underused, anonymous and not valorised, authors address some of the key issues to understanding the dynamics that create these neighbourhoods, as well as the strategies necessary to innovatively rebuild the compromised relationship system between the user and the environment

    A UML Extension for Designing Usable User Experiences in Web Applications

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    In this paper we introduce our framework for supporting the entire development of interaction and data intensive (typically Web) applications and describe one of the composing methods addressing the design of the user experience. Current proposals, both in the academic and industrial communities addressing such a kind of application, exhibit different weaknesses and strengths but are both characterized by poor acceptance by the current practice. Instead of proposing a new, richer modelling method, we have extracted and reused what good has been done in both the academic and industrial worlds in order to meet potential stakeholders’ requirements. The whole approach has been shaped by the domain analysis and addresses the development of Web applications from requirements elicitation/analysis to software design in four phases. One of these phases, the user experience design named E-WOOD, is here detailed. Its specific stakeholders and requirements are here described. E-WOOD extends a UML proposal, coming from the industrial world, reusing web engineering principles coming from the academic experience. It introduces a reasoning oriented, user centered semantics which can be used for designing application better fitting stakeholders’ goals and closer to final user expectations

    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
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