1,721,081 research outputs found

    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

    Cognitive Bridges to Digital Inclusion: A Gerontological Framework for Autonomous Technology Learning in Late Adulthood

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    The ubiquitous integration of smartphones has precipitated a paradigm shift in digital service accessibility, simultaneously delivering transformative convenience and escalating operational complexity. Older adult populations, however, encounter disproportionate challenges in assimilating these rapid technological advancements, thereby exacerbating the digital divide. This dissertation confronts this critical issue by proposing a novel framework of assistive systems designed to facilitate autonomous digital skill acquisition among older adults. Employing digital banking as a representative use case, a mixed-methods approach incorporating targeted surveys and semi-structured interviews was first deployed to systematically identify cognitive and interactional barriers to adoption. Building upon these empirical foundations, we engineered a mobile application architecture that synthesizes three pedagogical pillars: (1) asynchronous peer-to-peer support networks, (2) context-aware interactive tutorials, and (3) safeguarded trial-and-error learning environments. Furthermore, this research investigates augmented reality (AR) as a mechanism to provide physical and cognitive support during self-dependent digital learning. The next research phase will implement eye-tracking techniques to distinguish different cognitive load types, subsequently informing the development of an adaptive AI tutoring system capable of real-time, personalized scaffolding. The ultimate scholarly contribution of this work lies in its cognitively-optimized support infrastructure one that not only bridges the digital divide through gerontologically-grounded design principles but also actively cultivates sustained engagement with digital technologies among aging populations.</p

    Virtual bridges of intimacy : designing and evaluating a virtual reality application for loving-kindness meditation in long-distance relationships

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    Loving-kindness meditation (LKM) has long been recognized in clinical psychology as a powerful tool for enhancing couples’ bonding. However, physical isolation, especially in long-distance relationships, can increase relationship tension and obstruct traditional LKM. Although virtual reality (VR) technology offers possible solutions for immersive online LKM experiences, there are currently no suitable commercial VR applications for couples to engage in LKM activities while they are long-distance. To address this gap, we organized a series of participatory design workshops to understand the needs of long-distance couples. These workshops allowed couples to imagine and co-design their ideal VR-mediated LKM experience. Through analysis of participant design work, coupled with semi-structured interviews, we extracted key design considerations for making VR LKM apps. Guided by these insights, we developed a prototype VR application that specializes in intimate LKM sessions for couples separated by distance. To validate our design, we conducted a comparative study in which couples conducted LKM sessions using our VR prototype and traditional video conferencing tools. While both had a positive impact on intimacy, the VR prototype emerged as the preferred option for many participants, especially when considering long-term use. We believe our experience can inform future researchers.</p

    Seasonal serene Xanadu : an immersive VR Chinese garden with meditation for anxiety relief for young women

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    In the post-epidemic era, young Chinese women face increasingly heightened social competition and anxiety. The "Aesthetic Realm" of classical Chinese gardens and Buddhist philosophy emphasizes the unity of humans and nature, resonating with the human spirit. Nature-based meditation embodies this principle. Drawing on the formative study, we designed "Seasonal Serene Xanadu", a tailored VR Chinese garden with meditation for young women. To test its anxiety-reduction effects, we conducted a comparative experiment involving 48 Chinese women under 35, using two different VR-based interventions and a control group. Our findings indicate that while both VR and VR + meditation groups effectively mitigate anxiety, the VR + meditation group exhibited a more stable effect seven days after the experiment's conclusion. Although the VR Chinese garden naturally facilitates 'meditation' for intrinsic therapeutic qualities, adding guided meditation can facilitate prolonged emotional stability. Thus, the VR Chinese garden serves as a potential future intervention for mental well-being.</p

    AR-enhanced digital twin system for reconfigurable soft robots

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    The advent of soft robotics marks a significant paradigm shift in the field of robotics, presenting a suite of advantages owing to their inherent flexibility and adaptability. Constructed from compliant materials, soft robots possess the remarkable ability to undergo multifaceted deformations, a quality that empowers them to navigate and adapt within dynamic environments and execute intricate tasks that remain elusive to their rigid counterparts. However, the very attributes that make soft robots advantageous also contribute to the complexity of their design, optimization, and control processes. Conventional methodologies are insufficient for soft robotics, as they do not effectively encapsulate the inherent non-linear and time-variant dynamics of these systems. This deficiency mandates the formulation of novel design principles, the development of advanced sensor strategies for accurate deformation feedback, the implementation of enhanced visualization techniques for a better understanding of robotic states, and the creation of sophisticated control strategies, all of which must be customized to the distinctive attributes and capabilities of soft robotic mechanisms. This thesis introduces an advanced system architecture underpinned by Augmented Reality (AR) and Digital Twin (DT) technologies, specifically engineered to surmount the challenges associated with Reconfigurable Soft Robots (RSR). Our research encapsulates five pivotal domains: (1) A human-centric five-dimension digital twin model for reconfigurable soft robots using AR technology. (2) The development of an innovative manufacturing life-cycle dedicated to the creation of RSR’s structures, encompassing stages from design and simulation to optimization, fabrication, and reconfiguration. (3) The integration of sensor fusion techniques to forge a sophisticated DT system, facilitating real-time visualization, simulation, and governance of the RSR. (4) The crafting of an intuitive AR-based human-robot interaction paradigm, designed to afford users an immersive and instinctive medium through which to influence and oversee the soft robot’s behavior in an immediate context. (5) The execution of empirical case studies and user-centric research to validate the efficacy and superior attributes of the proposed system. The adoption of the proposed methodology promises to significantly enhance the processes involved in the manufacturing, simulation, control, and interaction of RSR. Through the employment of a human-centric DT framework, the proposition enables instantaneous simulations, fostering more effective planning and command sequences while optimizing the integration of human intellectual capacities. Moreover, the incorporation of AI and AR within the DT matrix showcases the transformative potential of these leading-edge technologies in the soft robotics domain. The case studies within our research serve to appraise the practical effectiveness and user accessibility of our system, offering tangible proof of its applicability in real-world scenarios.</p

    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

    Author Index

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