1,720,990 research outputs found
Inside Out or Not:Privacy Implications of Emotional Disclosure
Get PDFPrivacy is dynamic, sensitive, and contextual, much like our emotions. Previous studies have explored the interplay between privacy and context, privacy and emotion, and emotion and context. However, there remains a significant gap in understanding the interplay of these aspects simultaneously. In this paper, we present a preliminary study investigating the role of emotions in driving individuals' information sharing behaviour, particularly in relation to urban locations and social ties. We adopt a novel methodology that integrates context (location and time), emotion, and personal information sharing behaviour, providing a comprehensive analysis of how contextual emotions affect privacy. The emotions are assessed with both self-reporting and electrodermal activity (EDA). Our findings reveal that self-reported emotions influence personal information-sharing behaviour with distant social groups, while neutral emotions lead individuals to share less precise information with close social circles, a pattern is potentially detectable with wrist-worn EDA. Our study helps lay the foundation for personalised emotion-aware strategies to mitigate oversharing risks and enhance user privacy in the digital age.</p
XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable Computing
Get PDFThe workshop XAI for U aims to address the critical need for transparency in Artificial Intelligence (AI) systems that integrate into our daily lives through mobile systems, wearables, and smart environments. Despite advances in AI, many of these systems remain opaque, making it difficult for users, developers, and stakeholders to verify their reliability and correctness. This workshop addresses the pressing need for enabling Explainable AI (XAI) tools within Ubiquitous and Wearable Computing and highlights the unique challenges that come with it, such as XAI that deals with time-series and multimodal data, XAI that explains interconnected machine learning (ML) components, and XAI that provides user-centered explanations. The workshop aims to foster collaboration among researchers in related domains, share recent advancements, address open challenges, and propose future research directions to improve the applicability and development of XAI in Ubiquitous Pervasive and Wearable Computing - and with that seeks to enhance user trust, understanding, interaction, and adoption, ensuring that AI- driven solutions are not only more explainable but also more aligned with ethical standards and user expectations
Unlocking Autistic Children's Potential:The Crux with Data Visualisations and IoT
Get PDFInternet of Things (IoT) technology and data visualisations have significant potential to support autistic children in their self-awareness, self-regulation, learning, and daily activities. IoT applications collect extensive data on behaviours, activities, and environmental and contextual factors. Traditionally, this data is often visualised to create more or less meaningful and actionable insights for the users. This paper examines the current landscape of data visualisations used for autistic children, identifying a significant gap in understanding how autistic children interact with these data visualisations. By highlighting the limitations of existing tools and guidelines, this work lays the groundwork for future experimental research aimed at developing tailored visualisation strategies and enhancing visualisation literacy in autistic children. Insights from this work advance the knowledge of autistic children's specific needs, ultimately contributing to designing more effective and inclusive visual interfaces to enhance their self-awareness, learning, and interventions.</p
Advancing Physiological Methods for Human-Information Interaction
Get PDFWith the advancement of pervasive technology, information interaction has become increasingly ubiquitous. In these diverse information access devices and interfaces, it is crucial to understand and improve the user experience during human-information interaction. In recent years, we have seen a rapid uptake of physiological sensors used to estimate the cognitive aspect of the interaction. However, several challenges remain from a ubiquitous computing perspective, such as the definitions discrepancy of cognitive activities (e.g., cognitive bias or information need) and the lack of standard practice for collecting and processing physiological data in information interaction. In this workshop, we bring together researchers from different disciplines to form a common understanding of cognitive activities, discuss best practices to quantify the cognitive aspects of human-information interaction, and reflect on potential applications and ethical issues arising from physiological sensing methods.</p
Towards using Eye Gaze Redirection in Immersive Reading Tasks for Visual Fatigue Reduction
Get PDFVisual fatigue poses a significant challenge in Human-Information Interaction (HII) in VR. Target redirection, a method that helps mitigate shoulder fatigue, could potentially help reduce visual fatigue by guiding our eyes to move in certain ways. This paper proposes a study using eye movement redirection in VR to reduce visual fatigue from immersive HII tasks. We highlight two primary challenges, speed and range of redirection, that directly impact the user experience and effectiveness. We further introduce two studies aimed at tackling these problems: 1) to find the best parameters for redirection and 2) to evaluate the technique's usability. We hypothesize that this innovative approach will greatly contribute to user-friendly and safe gaze-based HII in VR, enhancing user experience and performance by reducing visual fatigue.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Extending Mobile Cloud Platforms Using Opportunistic Networks: Survey, Classification and Open Issues
No full textWith the tremendous growth of mobile devices, e.g, smartphones, tablets and PDAs in recent years, people are looking for more advanced platforms in order to use their computational applications (e.g., processing and storage) in a faster and more convenient way. In addition, mobile devices are capable of using cloud-based applications and the use of such technology is growing in popularity. However, one major concern is how to efficiently access these cloud-based applications when using a resource-constraint mobile device. Because it requires a continuous Internet connection which is difficult to obtain in challenged environments that lack an infrastructure for communication (e.g., in sparse or rural areas) or areas with infrastructure (e.g., urban or high density areas) with restricted/full of interference access networks and even areas with high costs of Internet roaming. In these situations the use of opportunistic networks may be extended to avail cloud-based applications to the user. In this paper we explore the emergence of extending mobile cloud platforms using opportunistic networks. The motivation of this paper is twofold. First, we classify the available mobile cloud architectures according to their intent, the way they deliver services, and survey the state of the art research and issues related to their performance (e.g., battery power, storage capacity, bandwidth utilisation), environments (e.g., heterogeneity of networks, user's collaborations), robustness (e.g., scalability and availability of resources) and efficiency (e.g., context aware mobile services, access costs, energy consumption). Second, we devise a new `mobile-opportunistic collaborative cloud' (MoCC) architecture which enhances mobile cloud platforms using opportunistic networks. Next, we outline the open issues and future research directions that need to be improved upon for delivering a more scalable, location-aware and context based service to the users
- …
