1,720,999 research outputs found
AP WEB 2.0 - Proceedings of the International Workshop on Adaptation and Personalization for Web 2.0
No full textThe proceedings contain 19 papers. The topics discussed include: a framework for flexible user profile mashups; handling users local contexts in web 2.0; context-aware notification management in an integrated collaborative environment; a general framework for personalized text classification and annotation; a personalized tag-based recommendation in social web systems; using asynchronous client-side user monitoring to enhance user modeling in adaptive e-learning systems; customized edit interfaces for wikis via semantic annotations; visualizing web server logs for a web 1.0 audience using web 2.0 technologies; new generation of social networks based on semantic web technologies; balanced recommenders: a hybrid approach to improve and extend the functionality of traditional recommenders; visualizing reciprocal and non-reciprocal relationships in an online community; and a user-centric authentication and privacy control mechanism for user model interoperability in social networking sites
EXSS-ATEC: Explainable Smart Systems and Algorithmic Transparency in Emerging Technologies 2020
Full text linkSmart systems that apply complex reasoning to make decisions and plan behavior, such as decision support systems and personalized recommendations, are difficult for users to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making and/or taking direct actions; however, there are increasing concerns surrounding their transparency and accountability, as these processes are typically opaque to the user. Transparency and accountability have attracted increasing interest to provide more effective system training, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent user interfaces that provide system transparency or explanations of their behavior. In addition, our goal is to focus on approaches to mitigate algorithmic biases that can be applied by researchers, even without access to a given system's inter-workings, such as awareness, data provenance, and validation
Adaptation and personalization for web 2.0
Full text linkAP-WEB 2.0, the International Workshop on Adaptation and Personalization for Web 2.0, held in Trento in connection to the first and seventeenth international conference on User Modeling, Adaptation and Personalization, UMAP 2009, aimed at discussing the challenges and approaches in adaptation and personalization for Web 2.0. Here we present an overview of the workshop. Thirteen full papers and five short papers were accepted, covering both theoretical and practical aspects of Personalization for
Web 2.0. The papers discuss a wide range of areas including user awareness, recommender systems, user-generated content, and social networks
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2025
No full textThis is the fifth edition of the SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) workshop. This year’s event, like those before it, focuses on bringing together technology enthusiasts to break down barriers - whether they are cultural, social, or linguistic. We especially want to help people who struggle with making connections. In this context, social robots could play a vital role in achieving these ambitious aims. This year’s edition has been particularly successful in terms of submissions. After the review process, 13 articles were accepted, all addressing relevant and timely topics. The authors hope that their presentations will inspire fruitful and engaging discussions among the participants
Playing with Privacy:Uncovering Everyday Judgments of Data Sensitivity Through an Arcade Machine Interface
No full textCurrent data protection legal frameworks, including the GDPR, classify “special” categories of personal data that are deemed deserving of higher protection due to their impact on fundamental rights. Yet, these legal abstractions fail to capture how individuals themselves judge sensitivity in everyday digital contexts. This disconnect may undermine intelligibility and erode trust in data protection as a legal institution. Despite its centrality to privacy protection, limited empirical work has systematically compared public sensitivity judgments against the special categories of protected data under Article 9 GDPR. We address this gap through a mixed-methods design that integrates nine semi-structured interviews with a game-like survey deployed on public arcade machines. This approach generated 2,935 responses from 224 participants enabling in-situ analysis of everyday judgments. By operationalising an ontology capturing who collects data, what data are collected, and for what purpose, we systematically compared responses across demographic groups. Contrary to literature assumptions that health and financial data are primary markers of data sensitivity, our findings demonstrate that expressive content, messages, photos, and social ties elicited the strongest resistance to sharing by citizens. Acceptance was shaped decisively by purpose. Citizens tolerated safety and functionality, whilst advertising and vague claims of “research” were rejected. Attitudes varied systematically, with women disproportionately resistant to sharing expressive content, and higher education and digital literacy predicting greater caution. This study demonstrates that data sensitivity cannot be reduced to fixed legal categories. Rather, it is socially situated and purpose-dependent. Our findings provide empirical foundations for reimagining consent flows, privacy defaults, and transparency mechanisms that align with everyday logics. This can enable the development of systems that people can genuinely understand, trust, and consent to
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Lessons learned using a virtual world to support collaborative learning in the classroom
Full text link© 2020, IICM. All rights reserved. Using technology in education is crucial to support learning, and Virtual Worlds (VWs) are one of the technologies used by many educators to support their teaching objectives. VWs enable students to connect, synchronously interact, and participate in immersive learning activities. Such VW has been developed at Sheffield Hallam University (UK), and is used to support the teaching of a specific module, as well as for conducting empirical research around the topics of Transactive Memory Systems (TMS) and Students Engagement. TMS is a phenomenon representing the collective awareness of a group's specialisation, coordination, and credibility with interesting results. This paper presents the lessons learned while using the VW over the past few years at a higher education institution to support collaborative learning within working groups. A review of these empirical findings is presented, together with the results of a follow up study conducted to further investigate TMS and student Engagement, as well as students perceived Motivation to use a VW for learning, and their Learning Outcomes. The findings of this study are corroborating and contributing to previous results, suggesting that a VW is an effective tool to support collaborative learning activities, allowing students to engage in the learning process, motivate them to participate in activities, and contribute to their overall learning experience
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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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