Current Issue : January - March Volume : 2016 Issue Number : 1 Articles : 5 Articles
Abstract\nBackground: The vision of an ââ?¬Å?Internet of Thingsââ?¬Â seems to capture numerous application\nfields at present, especially in the field of logistics. Despite the undisputed advantages\nthe implementation of the ââ?¬Å?Internet of Thingsââ?¬Â also exerts a crucial influence on\nthe social and economic forms of organization and on the organization of work. The\nimplementation of the ââ?¬Å?Internet of Thingsââ?¬Â marks a new level of the division of work in\nthe field of manââ?¬â??machine interaction. This article concentrates on the current level of\napplication of the ââ?¬Å?Internet of Thingsââ?¬Â in the logistic sector and presents the resulting\nconsequences with respect to skilled workers.\nMethods: Within the framework of an empirical research qualitative vocational educational\nscientific instruments of early recognition were used to analyze the impact of\nthe ââ?¬Å?Internet of Thingsââ?¬Â on skilled work. A literature and document analysis as well as\nexpert interviews were conducted in order to analyze the current development status\nof the ââ?¬Å?Internet of Thingsââ?¬â?¢ within the field of logistics. Within a next step innovative\ncompanies and research projects were analyzed for the implementation and realization\nof the ââ?¬Å?Internet of Thingsââ?¬Â in skilled work and companies for case studies were selected.\nFollowing the case studies expert interviews were conducted for a deepening qualitative\nanalyses.\nResults: The application of the ââ?¬Å?Internet of Thingsââ?¬Â appears to be a creeping process.\nAlthough it emerged that companies are increasingly dealing with the ââ?¬Å?Internet of\nThingsââ?¬Â, the grade of diffusion was mostly comparatively low. But despite this low level\nof diffusion, some companies could be identified that are already witnessing sustainable\nchanges in their workflow due to the technological changes based on the implementation\nof the ââ?¬Å?Internet of Thingsââ?¬Â.\nConclusion: Depending on the aim that is pursued by the companies the ââ?¬Å?Internet\nof Thingsââ?¬Â can be applied in different ways and with different consequences for skilled\nwork. Two major development strands could be identified:\n1. the development of expert systems as a tool for qualified skilled workers;\n2. limitation of the autonomy of accomplished skilled workers by the emergence of\nadvanced technology in plants and machines (automation scenario)....
Today, personal data is becoming a new economic asset. Personal data which generated\nfrom our smartphone can be used for many purposes such as identification,\nrecommendation system, and etc. The purposes of our research are to discover human\nbehavior based on their smartphone life log data and to build behavior model which\ncan be used for human identification. In this research, we have collected user personal\ndata from 37 students for 2 months which consist of 19 kinds of data sensors. There is\nstill no ideal platform that can collects user personal data continuously and without\ndata loss. The data which collected from user�s smartphone have various situations\nsuch as the data came from multiple sensors and multiple source information which\nsometimes one or more data does not available. We have developed a new approach\nto building human behavior model which can deal with those situations. Furthermore,\nwe evaluate our approach and present the details in this paper....
Modern research emphasizes Pervasive Computing change faces, learning cultures, structures,\ncommunications, intellectual properties, information securities, data presentations and web displays\nto make attraction for human interaction. Pervasive systems have a broad range of applications\nbut it is relatively challenging for pervasive applications to meet emergence into existing\nphysical environment and newly built structure requirements. Due to their interaction to gather\ninformation and change the environment via activating devices independently is highlighted. Security\nof the pervasive devices and applications which control our activities has primary importance\nand will be destroyed, if the pervasive system operations are not secure. There is a need to\nimprove the security measures for data to travel rapidly, unbroken, unchanged and invisible by\ndeceptive recipients. Pervasive Computing allows users to get information and services access anytime\nand anywhere but need to discuss issues and solutions to deliver secure information with\nprivacy and trust. Possible solutions for these challenges of Pervasive Computing interaction between\nhuman are emphasized. A collection of papers and articles have been collected in order to\ninvestigate the previous study of Pervasive Computing interaction and its challenges. Is it possible\nfor us to understand what the scientific world will be close to generate new avenues? Expectations\nof future bring new openings for user interaction with systems, data, information and the environments\nin which they live, work and play....
With the development of cross-sectional imaging\ntechniques and transformation to digital reading of radiological\nimaging, e-learning might be a promising tool in undergraduate\nradiology education. In this systematic review of the\nliterature, we evaluate the emergence of image interaction\npossibilities in radiology e-learning programs and evidence\nfor effects of radiology e-learning on learning outcomes and\nperspectives of medical students and teachers. A systematic\nsearch in PubMed, EMBASE, Cochrane, ERIC, and PsycInfo\nwas performed. Articles were screened by two authors and\nincluded when they concerned the evaluation of radiological\ne-learning tools for undergraduate medical students. Nineteen\narticles were included. Seven studies evaluated e-learning programs\nwith image interaction possibilities. Students perceived\ne-learning with image interaction possibilities to be a useful\naddition to learning with hard copy images and to be effective\nfor learning 3D anatomy. Both e-learning programs with and\nwithout image interaction possibilities were found to improve\nradiological knowledge and skills. In general, students found\ne-learning programs easy to use, rated image quality high, and\nfound the difficulty level of the courses appropriate. Furthermore,\nthey felt that their knowledge and understanding of\nradiology improved by using e-learning. In conclusion, the\naddition of radiology e-learning in undergraduate medical\neducation can improve radiological knowledge and image\ninterpretation skills. Differences between the effect of\ne-learning with and without image interpretation possibilities\non learning outcomes are unknown and should be subject to\nfuture research....
Head-mounted displays and ot her wearable devices open up for innovative types of interaction for wearable augmented reality (AR).\nHowever, to design and evaluate these new types of AR user interfaces, it is essential to quickly simulate undeveloped components\nof the system and collect feedback from potential users early in the design process. One way of doing this is the wizard of Oz (WOZ)\nmethod. The basic idea behind WOZ is to create the illusion of a working system by having a human operator, performing some\nor all of the system�s functions.WozARd is a WOZ method developed for wearable AR interaction. The presented pilot study was\nan initial investigation of the capability of the WozARd method to simulate an AR city tour. Qualitative and quantitative data were\ncollected from 21 participants performing a simulated AR city tour. The data analysis focused on seven categories that can have\nan impact on how the WozARd method is perceived by participants: precision, relevance, responsiveness, technical stability, visual\nfidelity, general user-experience, and human-operator performance. Overall, the results indicate that the participants perceived\nthe simulated AR city tour as a relatively realistic experience despite a certain degree of technical instability and human-operator\nmistakes....
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