498 research outputs found

    DESIGNING FOR THE SUBCONSCIOUS: A NEUROIS STUDY OF PRIMING AND IDEA GENERATION IN ELECTRONIC BRAINSTORMING

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    Thesis (Ph.D.) - Indiana University, Business, 2014There has been extensive research on electronic brainstorming (EBS) over the past two decades, yet little is known about how best to design technology to enhance overall team performance. This dissertation seeks to open a new door in EBS design: designing a system for the individual's subconscious. Before effective design interventions can be developed, the cognitive underpinnings of individual-level EBS interactions must be elucidated. These studies provide insight into the core of this issue by examining the neurophysiological correlates of the ideation process, specifically using electroencephalography (EEG), electromyography (EMG), and skin conductance to examine priming-induced changes in cognition and emotion during an EBS session. Furthermore, it extends prior research on the use of priming to enhance EBS performance, creating new design guidelines for EBS systems that are designed for the user's subconscious. The findings show that achievement priming changes cognition in areas of the brain related to creativity which correspond with increases in idea fluency and creativity. While the implications of this study will be directly applicable to design of EBS technology, future studies can examine the use of priming in other collaboration tools. There may also be implications for the design of other forms of technology. The use of NeuroIS to more fully understand information processing in teams can also enhance the collaboration literature, in that it can illuminate individual cognition limitations in team interactions and enhance our understanding of which aspects of team interactions have the biggest "bang for their buck" from a cognitive standpoint. These findings provide several avenues for future research

    The Influence of Psychographic Beliefs on Website Usability Requirements

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    Designing websites that are responsive to customer needs is a critical prerequisite for the success of online services. To date, much research has focused on understanding which design requirements can be successfully applied to a website’s design. However, there has been limited research examining why some requirements may have more or less importance to customers. In addition to demographic characteristics, we propose that psychographic characteristics influence usability-related requirements. To develop our research model and hypotheses, we draw from usability literature and research in consumer behavior concerned with customers’ prevailing beliefs about technology. Conceptualizing customer beliefs should not only help distinguish between positive and negative processes but also help further investigate their consequences. To explore the relationship between customer characteristics (i.e., gender and technology beliefs) and usability requirements, we use a usability procedure based on the Microsoft Usability Guidelines (MUG). MUG identifies multiple design requirements that are expected to increase the usability of sites. We present the results of our study involving 215 participants. Overall, our results suggest that negative beliefs may play a larger role in influencing usability requirements than positive beliefs. And, the results suggest that prior Web experience moderates the relationship between beliefs and requirements

    Play for Performance: Using Computer Games to Improve Motivation and Test-Taking Performance

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    The importance of testing, especially certification and high-stakes testing, has increased substantially over the past decade. Building on the “serious gaming” literature and the psychology “priming” literature, we developed a computer game designed to improve test-taking performance using psychological priming. The game primed the concept of achievement to increase an individual’s expectation of success and motivation. Our results show that individuals who took a test immediately after playing the game significantly outperformed those who played a placebo computer game designed to have no effect. The effect size was medium (0.63). We believe that these results have important implications for information system education, including improving individual test-taking performance, identifying ways to develop information systems topic-specific games, and the need for more research to better understand how and why such games influence performance

    Hubungan Status Gizi Siswa dengan Hasil Belajar Penjasorkes pada Siswa Kelas V Sdn 010 Beringin Jaya Kecamatan Sentajo Raya

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    , The problem in this research is learning outcome students are below a minimum learning competency standards (KKM) and the majority of the number of students is not far above the KKM. It may be caused by nutritional status possessed by the students. The purpose of this study was to determine the corelation of the nutritional status of students with the penjasorkes learning outcome students class V of SDN 010 Beringin Jaya District of Sentajo Raya. This research is correlational with a total sample of 35 people. Based on the research that has been conducted on class V SDN 010 Beringin Jaya District of Sentajo Raya obtained r = 0.514 medium category. Tests of significance using the formula t test Significance. From the calculation results are known t = 3.44, while t table = 1.679 so t = 3.44> t table = 1.679. That Hypothesis (Ho) rejected that reads: There is no significant corelation between the nutritional status of students (X) with the penjasorkes learning outcomes (Y). Based on the analysis of data obtained by the correlation coefficient of r = 0.514 where or significance was tested by t test and obtained t count equal to 3.44 means thitung> t table (1,679) thus Ha received, so it can be concluded there is a corelation the nutritional status of students with penjasorkes learning outcomes on class V SDN 010 Beringin Jaya District of Sentajo Raya

    Mapping the Corporate Blogosphere: Linking Audience, Content, and Management to Blog Visibility

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    Blogs have been a common part of the Web for many years. Individuals create most blogs for their own purposes, but corporations have also begun to develop corporate blogs as a means for communicating with their stakeholders (e.g., customers, partners, investors). In this paper, we extend theory by generating what Gregor (2006) would call a type I theory. Specifically, we develop a theoretical framework for classifying and analyzing corporate blogs that examines blogs’ target audience, their content (focus and function), and how one should manage them. We use this framework to analyze the impact of these characteristics on the visibility of blogs operated by a sample of Fortune 500 companies. Our results show that a blog’s target audience and how its content and management fit with this audience can have significant impacts on blog visibility. We believe this framework provides a useful foundation for studying corporate blogs in the future

    Biodesalination: an emerging technology for targeted removal of Na+and Cl−from seawater by cyanobacteria

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    Although desalination by membrane processes is a possible solution to the problem of freshwater supply, related cost and energy demands prohibit its use on a global scale. Hence, there is an emerging necessity for alternative, energy and cost-efficient methods for water desalination. Cyanobacteria are oxygen-producing, photosynthetic bacteria that actively grow in vast blooms both in fresh and seawater bodies. Moreover, cyanobacteria can grow with minimal nutrient requirements and under natural sunlight. Taking these observations together, a consortium of five British Universities was formed to test the principle of using cyanobacteria as ion exchangers, for the specific removal of Na+ and Cl− from seawater. This project consisted of the isolation and characterisation of candidate strains, with central focus on their potential to be osmotically and ionically adaptable. The selection panel resulted in the identification of two Euryhaline strains, one of freshwater (Synechocystis sp. Strain PCC 6803) and one of marine origin (Synechococcus sp. Strain PCC 7002) (Robert Gordon University, Aberdeen). Other work packages were as follows. Genetic manipulations potentially allowed for the expression of a light-driven, Cl−-selective pump in both strains, therefore, enhancing the bioaccumulation of specific ions within the cell (University of Glasgow). Characterisation of surface properties under different salinities (University of Sheffield), ensured that cell–liquid separation efficiency would be maximised post-treatment, as well as monitoring the secretion of mucopolysaccharides in the medium during cell growth. Work at Newcastle University is focused on the social acceptance of this scenario, together with an assessment of the potential risks through the generation and application of a Hazard Analysis and Critical Control Points plan. Finally, researchers in Imperial College (London) designed the process, from biomass production to water treatment and generation of a model photobioreactor. This multimodal approach has produced promising first results, and further optimisation is expected to result in mass scaling of this process

    Learning Regionally Decentralized AC Optimal Power Flows with ADMM

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    One potential future for the next generation of smart grids is the use of decentralized optimization algorithms and secured communications for coordinating renewable generation (e.g., wind/solar), dispatchable devices (e.g., coal/gas/nuclear generations), demand response, battery & storage facilities, and topology optimization. The Alternating Direction Method of Multipliers (ADMM) has been widely used in the community to address such decentralized optimization problems and, in particular, the AC Optimal Power Flow (AC-OPF). This paper studies how machine learning may help in speeding up the convergence of ADMM for solving AC-OPF. It proposes a novel decentralized machine-learning approach, namely ML-ADMM, where each agent uses deep learning to learn the consensus parameters on the coupling branches. The paper also explores the idea of learning only from ADMM runs that exhibit high-quality convergence properties, and proposes filtering mechanisms to select these runs. Experimental results on test cases based on the French system demonstrate the potential of the approach in speeding up the convergence of ADMM significantly.Comment: 11 page

    Magnetic resonance imaging findings in children with Parry-Romberg syndrome and en coup de sabre

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    BACKGROUND: The aim of this study was to: (i) describe the abnormalities seen on brain imaging in a group of children with en coup de sabre (EDCS) with/without Parry-Romberg syndrome (PRS); and (ii) identify clinical predictors of brain imaging abnormalities. METHODS: This was a single centre (Great Ormond Street Hospital, London) retrospective case series of patients with ECDS/PRS seen from 2000 to 2018. We identified patients with cutaneous manifestations consistent with the clinical descriptions of ECDS/PRS. Presenting clinical, laboratory, and radiological brain findings are described. Results are expressed as medians and ranges or frequencies and percentages. Fisher's exact test was used to identify clinical associations with magnetic resonance imaging (MRI) abnormalities. RESULTS: Fourteen patients were studied: 6 males and 8 females; median age 14 years (range 3-20). We observed neuroimaging abnormalities in 2/6 ECDS and 5/8 ECDS/PRS patients. White matter signal abnormality, dystrophic calcification, leptomeningeal enhancement, and sulcal crowding were the typical findings on brain imaging. A total of 50% of patients had no MRI abnormality despite some of these patients having neurological symptoms. The presence of seizures was significantly associated with ipsilateral enhanced white matter signalling on MRI (p < 0.05). CONCLUSIONS: In summary, we observed several distinct radiographic patterns associated with ECDS/PRS. Seizure disorder was strongly associated with the presence of ipsilateral enhanced white matter signalling. Improved neuroimaging techniques that combine morphological with functional imaging may improve the detection rate of brain involvement in children with ECDS/PRS in the future

    HICSS Panel Report on Cognitive Foreshadowing: Next Steps in Applying Neuroscience and Cognitive Science to Information Systems Research

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    The use of neurophysiological tools in the information systems domain has received increased attention over the last decade. The Hawaii International Conference on System Sciences has helped provide a home for rigorously exploring such work through related minitracks and symposia. This paper reports on a panel presented at the 49th HICSS conference held in 2016 during a symposium organized to help orient interested researchers to the usefulness of cognitive neuroscience in IS research. This paper first introduces the rise in the IS discipline for integrating the methodologies and tools of cognitive neuroscience. It then presents individual viewpoints from the varying panel members at the symposium as they addressed questions of longevity, applicability, and next steps for the neuroIS subdiscipline. The four panel members included Alan Dennis, Angelika Dimoka, Allen Lee, and Ofir Turel
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