5,037 research outputs found

    Federated Robust Embedded Systems: Concepts and Challenges

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    The development within the area of embedded systems (ESs) is moving rapidly, not least due to falling costs of computation and communication equipment. It is believed that increased communication opportunities will lead to the future ESs no longer being parts of isolated products, but rather parts of larger communities or federations of ESs, within which information is exchanged for the benefit of all participants. This vision is asserted by a number of interrelated research topics, such as the internet of things, cyber-physical systems, systems of systems, and multi-agent systems. In this work, the focus is primarily on ESs, with their specific real-time and safety requirements. While the vision of interconnected ESs is quite promising, it also brings great challenges to the development of future systems in an efficient, safe, and reliable way. In this work, a pre-study has been carried out in order to gain a better understanding about common concepts and challenges that naturally arise in federations of ESs. The work was organized around a series of workshops, with contributions from both academic participants and industrial partners with a strong experience in ES development. During the workshops, a portfolio of possible ES federation scenarios was collected, and a number of application examples were discussed more thoroughly on different abstraction levels, starting from screening the nature of interactions on the federation level and proceeding down to the implementation details within each ES. These discussions led to a better understanding of what can be expected in the future federated ESs. In this report, the discussed applications are summarized, together with their characteristics, challenges, and necessary solution elements, providing a ground for the future research within the area of communicating ESs

    An Exploratory Study of Patient Falls

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    Debate continues between the contribution of education level and clinical expertise in the nursing practice environment. Research suggests a link between Baccalaureate of Science in Nursing (BSN) nurses and positive patient outcomes such as lower mortality, decreased falls, and fewer medication errors. Purpose: To examine if there a negative correlation between patient falls and the level of nurse education at an urban hospital located in Midwest Illinois during the years 2010-2014? Methods: A retrospective crosssectional cohort analysis was conducted using data from the National Database of Nursing Quality Indicators (NDNQI) from the years 2010-2014. Sample: Inpatients aged ≥ 18 years who experienced a unintentional sudden descent, with or without injury that resulted in the patient striking the floor or object and occurred on inpatient nursing units. Results: The regression model was constructed with annual patient falls as the dependent variable and formal education and a log transformed variable for percentage of certified nurses as the independent variables. The model overall is a good fit, F (2,22) = 9.014, p = .001, adj. R2 = .40. Conclusion: Annual patient falls will decrease by increasing the number of nurses with baccalaureate degrees and/or certifications from a professional nursing board-governing body

    Design Fiction Diegetic Prototyping: A Research Framework for Visualizing Service Innovations

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    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Purpose: This paper presents a design fiction diegetic prototyping methodology and research framework for investigating service innovations that reflect future uses of new and emerging technologies. Design/methodology/approach: Drawing on speculative fiction, we propose a methodology that positions service innovations within a six-stage research development framework. We begin by reviewing and critiquing designerly approaches that have traditionally been associated with service innovations and futures literature. In presenting our framework, we provide an example of its application to the Internet of Things (IoT), illustrating the central tenets proposed and key issues identified. Findings: The research framework advances a methodology for visualizing future experiential service innovations, considering how realism may be integrated into a designerly approach. Research limitations/implications: Design fiction diegetic prototyping enables researchers to express a range of ‘what if’ or ‘what can it be’ research questions within service innovation contexts. However, the process encompasses degrees of subjectivity and relies on knowledge, judgment and projection. Practical implications: The paper presents an approach to devising future service scenarios incorporating new and emergent technologies in service contexts. The proposed framework may be used as part of a range of research designs, including qualitative, quantitative and mixed method investigations. Originality: Operationalizing an approach that generates and visualizes service futures from an experiential perspective contributes to the advancement of techniques that enables the exploration of new possibilities for service innovation research

    Pervasive Technologies and Support for Independent Living

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    A broad range of pervasive technologies are used in many domains, including healthcare: however, there appears to be little work examining the role of such technologies in the home, or the different wants and needs of elderly users. Additionally, there exist ethical issues surrounding the use of highly personal healthcare-related data, and interface issues centred on the novelty of the technologies and the disabilities experienced by the users. This report examines these areas, before considering the ways in which they might come together to help support independent-living users with disabilities which may be age-related

    CALIPS: DESIGN OF UBIQUITOUS DECISION SUPPORT MECHANISM FOR THE CAMPUS LIFE PLANNING FROM THE VIEW OF INTEGRATING GENERAL BAYESIAN NETWORKS AND CONTEXT PREDICTION

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    Recently, ubiquitous decision support systems become more popular in many applications. However, the campus life planning area has remained untouched in the decision support literature. Moreover, the potentials of context prediction in lieu of context awareness systems were rarely explored in previous studies of the ubiquitous decision support systems. In this sense, this study proposes the systematic usage of General Bayesian Networks (GBNs) to organize high quality of causal knowledge base to be used for the sake of campus life planning. The prototype named CALIPS was designed on the smartphone. Two research questions that were never investigated in literature were raised- (1) suggestion of the ubiquitous decision support mechanism for the campus life planning, named CALIPS, and (2) integrating GBN and context prediction into the CALIPS. Experiment results proved to support the validity of the CALIP

    How WEIRD is Usable Privacy and Security Research? (Extended Version)

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    In human factor fields such as human-computer interaction (HCI) and psychology, researchers have been concerned that participants mostly come from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries. This WEIRD skew may hinder understanding of diverse populations and their cultural differences. The usable privacy and security (UPS) field has inherited many research methodologies from research on human factor fields. We conducted a literature review to understand the extent to which participant samples in UPS papers were from WEIRD countries and the characteristics of the methodologies and research topics in each user study recruiting Western or non-Western participants. We found that the skew toward WEIRD countries in UPS is greater than that in HCI. Geographic and linguistic barriers in the study methods and recruitment methods may cause researchers to conduct user studies locally. In addition, many papers did not report participant demographics, which could hinder the replication of the reported studies, leading to low reproducibility. To improve geographic diversity, we provide the suggestions including facilitate replication studies, address geographic and linguistic issues of study/recruitment methods, and facilitate research on the topics for non-WEIRD populations.Comment: This paper is the extended version of the paper presented at USENIX SECURITY 202

    Privacy For Whom? A Multi-Stakeholder Exploration of Privacy Designs

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    Privacy is considered one of the fundamental human rights. Researchers have been investigating privacy issues in various domains, such as our physical privacy, data privacy, privacy as a legal right, and privacy designs. In the Human-Computer Interaction field, privacy researchers have been focusing on understanding people\u27s privacy concerns when they interact with computing systems, designing and building privacy-enhancing technologies to help people mitigate these concerns, and investigating how people\u27s privacy perceptions and the privacy designs influence people\u27s behaviors. Existing privacy research has been overwhelmingly focusing on the privacy needs of end-users, i.e., people who use a system or a product, such as Internet users and smartphone users. However, as our computing systems are becoming more and more complex, privacy issues within these systems have started to impact not only the end-users but also other stakeholders, and privacy-enhancing mechanisms designed for the end-users can also affect multiple stakeholders beyond the users. In this dissertation, I examine how different stakeholders perceive privacy-related issues and expect privacy designs to function across three application domains: online behavioral advertising, drones, and smart homes. I choose these three domains because they represent different multi-stakeholder environments with varying nature of complexity. In particular, these environments present the opportunities to study technology-mediated interpersonal relationships, i.e., the relationship between primary users (owners, end-users) and secondary users (bystanders), and to investigate how these relationships influence people\u27s privacy perceptions and their desired ways of privacy protection. Through a combination of qualitative, quantitative, and design methods, including interviews, surveys, participatory designs, and speculative designs, I present how multi-stakeholder considerations change our understandings of privacy and influence privacy designs. I draw design implications from the study results and guide future privacy designs to consider the needs of different stakeholders, e.g., cooperative mechanisms that aim to enhance the communication between primary and secondary users. In addition, this methodological approach allows researchers to directly and proactively engage with multiple stakeholders and explore their privacy perceptions and expected privacy designs. This is different from what has been commonly used in privacy literature and as such, points to a methodological contribution. Finally, this dissertation shows that when applying the theory of Contextual Integrity in a multi-stakeholder environment, there are hidden contextual factors that may alter the contextual informational norms. I present three examples from the study results and argue that it is necessary to carefully examine such factors in order to clearly identify the contextual norms. I propose a research agenda to explore best practices of applying the theory of Contextual Integrity in a multi-stakeholder environment

    Three Essays on the Role of IT in Environmental Sustainability: Motivating Individuals to Use Green IT, Enhancing Their User Experience, and Promoting Electricity Conservation

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    This dissertation focuses on the role of IT in environmental sustainability and electricity conservation through three research essays. The first essay makes a case for behavior research, with the focus on individuals\u27 use of Green IT. Moreover, environmental studies lack a coherent theory that could identify the motivators of Green-IT beliefs. We develop the hedonic motivation theory, which synthesizes theoretical and philosophical thoughts on hedonism with concepts from environmental research. Using this theory, we develop a conceptual model that identifies the motivators of context-specific beliefs, attitudes, and uses of Green IT. We theorize that there are significant generational differences in the process by which hedonic motivators influence Green IT use behaviors. Young adults are more motivated by personal hedonic motivation, and an affective and automatic process, whereas older adults are motivated by a cognitive and attitudinal process. This study was carried out using a structural equation modeling method of analysis based on 702 observations of the survey data. The results support the theorized model, with significant implications. The second essay examines the design taxonomy of electricity consumption feedback applications, which are considered one of the critical technologies in alleviating the increasing trends of energy consumption and greenhouse gas emissions. We relied on an integrative theoretical framework and literature review to propose a comprehensive taxonomy for salient design elements of electricity consumption feedback applications. Using a survey method, we collected data from general public to evaluate the preference and relative importance of the design elements. We found that there is a preferred set of design elements for the feedback applications. Our results could serve as a basis to evaluate the design of existing electricity consumption feedback applications, and to help in studying the influence of design elements on beliefs and behaviors related to individuals\u27 electricity conservation. The third essay investigates the role of the salient design elements identified in the second essay, and the processes by which these elements motivate electricity consumers\u27 behaviors towards energy conservation. We developed a conceptual framework by extending the theory of planned behavior to study how salient design elements of feedback applications impact the beliefs and behaviors of individual electricity consumers. To our knowledge, this is the first study aimed at examining the relationship between electricity consumers\u27 beliefs and behaviors and the specific perceived design elements of electricity consumption feedback applications. We empirically evaluated the conceptual model by developing a mobile app and a corresponding website and conducting a controlled longitudinal lab experiment. The results indicate strong support for the premises of the model and support the significant role of personalized design elements in use behaviors and electricity conservation. Our findings show the importance of integrating descriptive social norm, personalized goal setting, and personalized privacy preferences design elements in feedback applications. This dissertation makes a number of significant contributions to theory and application. First, it develops a new theory that identifies motivators of Green IT use. It shows that the conceptualized motivators impact use behaviors though multiple paths--the cognitive and emotional automatic paths-- and are moderated by users\u27 age. Second, this work develops a taxonomy of design elements for electricity consumption feedback applications based on an integrative theoretical framework and extensive review of the existing literature. This taxonomy and the relative importance of elements in the taxonomy could serve as the standard for developing and assessing feedback application tools. Third, this work develops a conceptual model that identifies the processes by which design elements of electricity consumption feedback applications help in the conservation of electricity by individuals. Together, the three essays contribute to the sustainability and Green IT literature by uncovering the significant role of individuals in dealing with environmental threats and energy consumption challenges and by conceptualizing the different antecedents and processes that shape the perceptions and behaviors related to Green IT and electricity consumption. Moreover, the three studies extend user-centric design research by integrating insights from multiple disciplines to explain, design, create, and test innovative tools that could have a pivotal role in dealing with global sustainability challenges. This work also provides a standard for the evaluation of such tools from multiple stakeholder perspectives. Finally, the three essays contribute to practice by proposing guidelines to industry designers and policy makers for promoting sustainability and energy conservation through personalized tools and effective campaigns
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