9,097 research outputs found

    Digital Competence and Family Mediation in the Perception of Online Risk to Adolescents. Analysis of the Montenegro Case Study

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    Da diversi anni il dibattito scientifico e politico internazionale ha manifestato un interesse sempre piĂč crescente sulla digital literacy e la digital education, quali strumenti di tutela del minore rispetto ai rischi derivanti dall’utilizzo incontrollato e inconsapevole di diversi mezzi di comunicazione. Contemporaneamente, diversi filoni della letteratura scientifica hanno approfondito i temi dei rischi e delle opportunitĂ  legate all’utilizzo della rete, da cui spesso sono stati promossi interventi territoriali politici, di sensibilizzazione o di formazione per arginare gli effetti potenzialmente nocivi e incrementare quelli positivi, legati soprattutto alle opportunitĂ  di crescita individuale e di inclusione socioculturale che le tecnologie possono contribuire a determinare. Il paper si inserisce all’interno di questo quadro per riflettere sul modo in cui il possesso o meno di alcune competenze digitali possa influenzare o meno il comportamento di fruizione mediale dei giovani, incrementando o meno il rischio di esposizione mediale all’interno di un contesto socioculturale circoscritto. Per intraprendere questo tipo di riflessione, il paper focalizza la propria attenzione sul caso di studio del Montenegro e analizza alcuni risultati della ricerca Eukids on line del 2016, per riflettere sulla relazione fra competenze digitali e livello di rischio espositivo dei bambini compresi fra i 9 e i 17 anni all’interno di aree territoriali socioculturali circoscritte.For several years, international scientific and political debate has shown increasing interest in digital literacy and digital education as tools to protect minors from the risks associated with the unmonitored and unaware use of various media. At the same time, various strains in the scientific literature have more deeply analyzed the themes of the risks and opportunities associated with using the web; this has often resulted in the promotion of political, awareness-raising, or educational interventions on the local level, to contain the potentially harmful effects and augment the positive ones linked especially to the opportunities for individual growth and sociocultural inclusion that these technologies can help bring about. This paper enters into this framework to explore how whether or not digital competence is possessed can influence young people’s media use behaviour, while increasing or not increasing the risk of media exposure within a circumscribed sociocultural context. To undertake this kind of reflection, this paper focuses its attention on the Montenegro case study and analyzes some results of the 2016 Global kids on line research work, to consider the relationship between digital competence and the exposure risk level of children between 12 and 17 years of age within circumscribed sociocultural areas

    Using cooperatives ontologies for the customization of hybrid mediator interrogation process

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    The explosion of information sources accessible via the Web created the need for mediation tools between users and heterogeneous information sources on the Web. However, the interface design of these mediators, with taking into account the wide variety of skills and knowledge of users, and the need for them to share their preferences, requires systems able to guide the user through the interrogation process. In this paper, we try to raise this challenge  by proposing, on one hand, the use of a cooperative ontology’s models, which adapt with the evolution of user’s profiles and the dynamic change of integrated sources, and secondly ensure sharing the knowledge between users which will facilitate analysis of information and improve the data quality research process in space  and time.  

    Context-Aware Information Retrieval for Enhanced Situation Awareness

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    In the coalition forces, users are increasingly challenged with the issues of information overload and correlation of information from heterogeneous sources. Users might need different pieces of information, ranging from information about a single building, to the resolution strategy of a global conflict. Sometimes, the time, location and past history of information access can also shape the information needs of users. Information systems need to help users pull together data from disparate sources according to their expressed needs (as represented by system queries), as well as less specific criteria. Information consumers have varying roles, tasks/missions, goals and agendas, knowledge and background, and personal preferences. These factors can be used to shape both the execution of user queries and the form in which retrieved information is packaged. However, full automation of this daunting information aggregation and customization task is not possible with existing approaches. In this paper we present an infrastructure for context-aware information retrieval to enhance situation awareness. The infrastructure provides each user with a customized, mission-oriented system that gives access to the right information from heterogeneous sources in the context of a particular task, plan and/or mission. The approach lays on five intertwined fundamental concepts, namely Workflow, Context, Ontology, Profile and Information Aggregation. The exploitation of this knowledge, using appropriate domain ontologies, will make it feasible to provide contextual assistance in various ways to the work performed according to a user’s taskrelevant information requirements. This paper formalizes these concepts and their interrelationships

    Meta data to support context aware mobile applications

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    Observation Centric Sensor Data Model

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    Management of sensor data requires metadata to understand the semantics of observations. While e-science researchers have high demands on metadata, they are selective in entering metadata. The claim in this paper is to focus on the essentials, i.e., the actual observations being described by location, time, owner, instrument, and measurement. The applicability of this approach is demonstrated in two very different case studies

    Intelligent Interfaces for Technology-Enhanced Learning

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    Adaptive Visualization for Focused Personalized Information Retrieval

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    The new trend on the Web has totally changed todays information access environment. The traditional information overload problem has evolved into the qualitative level beyond the quantitative growth. The mode of producing and consuming information is changing and we need a new paradigm for accessing information.Personalized search is one of the most promising answers to this problem. However, it still follows the old interaction model and representation method of classic information retrieval approaches. This limitation can harm the potential of personalized search, with which users are intended to interact with the system, learn and investigate the problem, and collaborate with the system to reach the final goal.This dissertation proposes to incorporate interactive visualization into personalized search in order to overcome the limitation. By combining the personalized search and the interac- tive visualization, we expect our approach will be able to help users to better explore the information space and locate relevant information more efficiently.We extended a well-known visualization framework called VIBE (Visual Information Browsing Environment) and implemented Adaptive VIBE, so that it can fit into the per- sonalized searching environment. We tested the effectiveness of this adaptive visualization method and investigated its strengths and weaknesses by conducting a full-scale user study.We also tried to enrich the user models with named-entities considering the possibility that the traditional keyword-based user models could harm the effectiveness of the system in the context of interactive information retrieval.The results of the user study showed that the Adaptive VIBE could improve the precision of the personalized search system and could help the users to find out more diverse set of information. The named-entity based user model integrated into Adaptive VIBE showed improvements of precision of user annotations while maintaining the level of diverse discovery of information
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