27 research outputs found

    CONFIGURATION OF APPLICATION PERMISSIONS WITH CONTEXTUAL ACCESS CONTROL

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    Users are burdened with the task of configuring access control policies on many dif- ferent application platforms used by mobile devices and social network sites. Many of these platforms employ access control mechanisms to configure application per- missions before the application is first used and provide an all or nothing decision for the user. When application platforms provide fine grained control over decision making, many users exhibit behavior that indicates they desire more control over their application permissions. However, users who desire control over application permissions still struggle to properly configure them because they lack the context in which to make better decisions. In this dissertation, I attempt to address these problems by exploring decision making during the context of using mobile and social network applications. I hypothesize that users are able to better configure access control permissions as they interact with applications by supplying more contextual information than is available when the application is being installed. I also explore how logged access data generated by the application platform can provide users with more understanding of when their data is accessed. Finally, I examine the effects that this contextually improved application platform has on user decision making

    On the adoption of end-user IT security measures

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    Data and the city – accessibility and openness. a cybersalon paper on open data

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    This paper showcases examples of bottom–up open data and smart city applications and identifies lessons for future such efforts. Examples include Changify, a neighbourhood-based platform for residents, businesses, and companies; Open Sensors, which provides APIs to help businesses, startups, and individuals develop applications for the Internet of Things; and Cybersalon’s Hackney Treasures. a location-based mobile app that uses Wikipedia entries geolocated in Hackney borough to map notable local residents. Other experiments with sensors and open data by Cybersalon members include Ilze Black and Nanda Khaorapapong's The Breather, a "breathing" balloon that uses high-end, sophisticated sensors to make air quality visible; and James Moulding's AirPublic, which measures pollution levels. Based on Cybersalon's experience to date, getting data to the people is difficult, circuitous, and slow, requiring an intricate process of leadership, public relations, and perseverance. Although there are myriad tools and initiatives, there is no one solution for the actual transfer of that data

    Communication Management

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    Communication Management is an edited volume of chapters written by scholars researching various areas of marketing and management sciences. It presents several issues of marketing management within the limits of marketing communication. Starting from the issue of communication channels and basic sensory apparatus for processing information and stimuli, the book continues with a description of the issue of social media in the time of accelerated digitization. The last chapter introduces the reader to the issue of marketing communication in a sharply non-standard environment. The topic itself creates the opportunity to seek qualitative knowledge for future in-depth research into the impact of the COVID-19 pandemic on both national and transnational economies

    Data protection in the age of Big Data: legal challenges and responses in the context of online behavioural advertising

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    This thesis addresses the question of how data protection law should respond to the challenges arising from the ever-increasing prevalence of big data. The investigation is conducted with the case study of online behavioural advertising (OBA) and within the EU data protection legal framework, especially the General Data Protection Regulation (GDPR). It is argued that data protection law should respond to the big data challenges by leveraging the regulatory options that are either already in place in the current legal regime or potentially available to policymakers. With the highly complex, powerful and opaque OBA network, in both technical and economic terms, the use of big data may pose fundamental threats to certain individualistic, collective or societal values. Despite a limited number of economic benefits such as free access to online services and the growth of the digital market, the latent risks of OBA call for an effective regulatory regime on big data. While the EU’s GDPR represents the latest and most comprehensive legal framework regulating the use of personal data, it has still fallen short on certain important aspects. The regulatory model characterised by individualised consent and the necessity test remains insufficient in fully protecting data subjects as autonomous persons, consumers and citizens in the context of OBA. There is thus a pressing need for policymakers to review their regulatory toolbox in the light of the potential threats. On the one hand, it is necessary to reconsider the possibilities to blacklist or whitelist certain data uses with mechanisms that are either in place in the legal framework or can be introduced additionally. On the other hand, it is also necessary to realise the full range of policy options that can be adopted to assist individuals in making informed decisions in the age of big data

    “Tutteli to Japan”: A case study of spontaneous collaboration in disaster response

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    “Tutteli to Japan” (TTJ) is a case study of ordinary people, a group of Japanese women living in Finland, trying to figure out how to help disaster-affected citizens from a distance in coordination with likeminded strangers on-the-ground to accomplish aid supply delivery. Unlike commonly seen in citizen response to disasters, this case did not start as an extension of pre-existing social group activities or an informal group of volunteers under the name of TTJ. Rather, the effort emerged from individual responses on the Internet to the 2011 Great Tohoku Earthquake and Tsunami disasters in Japan, expressing their compassions and aspirations to do something for the disaster victims; some were on Twitter, some were on their blogs. As the devastation escalated, so did the people’s eagerness to do something about the inadequate distribution of resources, with a focus on the breastfeeding mothers in Japan who only had access to powder-based baby formula. Having this challenge left untouched by government or aid agencies, these concerned individuals, as novice learners of international aid work without a chain of command, continued seeking and sharing information in order to deliver the liquid baby formula regardless of informational, operational, and situational uncertainties surrounding them. Within the next forty days, these volunteer individuals were able to ship six times, a total of 12,000 cartons of formula, directly delivered and distributed to the hands of breastfeeding mothers in twelve different locations in the disaster-affected communities in Japan. In this dissertation, I study the entangled, mutually collaborative nature of finding a way to help processes within and between like-minded individuals and the broader context of people and information with emphasis on information needs and learning. Drawing on a dataset that encompasses a range of real-time social media data as well as interviews and documentation, this single-case study traces how ordinary citizens interacting online develop the idea for delivery of baby formula as emergency supplies and how these like-minded strangers collaboratively mobilized resources for the TTJ logistics and processes of packaging, dispatching and delivering large volumes of relief supply including: the fundraising volunteers in Finland, the drivers and distributors in Japan. This study aims to describe how such ordinary people’s information interactions shape spontaneous collaboration in disaster response. My findings suggest that independent public participation and collaborative efforts for disaster response perform as sources of tensions and various kinds of vagueness, but these are the functions that spontaneous volunteers can offer resourcefully. With learning by doing approaches, these compassionate individuals, both online and on-the-ground, muddled through unknown needs of unfamiliar activities in identifying, managing and processing different kinds of tasks, particularly by asking for information and acting on information received including uses of vague language and uncertain sources of information. This iteration of dual processes – searching for information to help and self-organizing under leaderless management – illuminates underlying processes of spontaneous collaboration. I argue that the TTJ illustrates the power of intention, which is the power of creativity among ordinary people acting on information processed through humane-driven technology use. These iterative information interactions can be best understood through a new concept articulated in this dissertation, shared uncertainty. This concept encompasses our understanding of independent public participation and collaboration and offers an interdisciplinary bridge between research in information behavior, computer-supported cooperative work, crisis informatics and disaster studies

    Internet of Things (IoT) for Automated and Smart Applications

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    Internet of Things (IoT) is a recent technology paradigm that creates a global network of machines and devices that are capable of communicating with each other. Security cameras, sensors, vehicles, buildings, and software are examples of devices that can exchange data between each other. IoT is recognized as one of the most important areas of future technologies and is gaining vast recognition in a wide range of applications and fields related to smart homes and cities, military, education, hospitals, homeland security systems, transportation and autonomous connected cars, agriculture, intelligent shopping systems, and other modern technologies. This book explores the most important IoT automated and smart applications to help the reader understand the principle of using IoT in such applications

    The Future of Information Sciences : INFuture2009 : Digital Resources and Knowledge Sharing

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    Radio evolution: conference proceedings

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