6 research outputs found

    ADAPTING mLEARNING ENVIRONMENTS ON LEARNERS’ COGNITIVE STYLES AND VISUAL WORKING MEMORY SPAN

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    The research that is described in this paper focuses on incorporating theories of individual differences in information processing within the context of mobile hypertext and hypermedia interactive environments. Based on previous findings of the authors in the field of adaptive eLearning, the main purpose was to enhance the quality of information presentation and users’ interactions in the Web by matching their specific needs and preferences. Our more recent experiments, explore how to improve learning process by adapting course content presentation to student cognitive styles and capabilities in mobile environments such as PDA phones. A framework has been developed to comprehensively model student’s cognitive styles and visual working memory span and present the appropriate subject matter, including the content, format, guidance, etc. to suit an individual student by increasing efficiency during interaction. Main aim is to overcome constraints like small screen size and processing/memory capabilities for navigation enhancements that limit the presentation and guidance of the material. An increase on users’ satisfaction as well as more efficient information processing (both in terms of accuracy and task completion time), has been observed in the personalized condition than the original one. Consequently, it is supported that human factors may be used in order to enhance the design of mobile hypertext (or hypermedia) environments in a measurable and meaningful way

    Human Factors As A Parameter For Improving Interface Usability And User Satisfaction

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    The endeavour to optimize HCI should integrate a wide array of user characteristics that have an effect throughout users’ interactions with a system. Human factors such as cognitive traits and current state, from a psychological point of view, are undoubtedly significant in the shaping of the perceived and objective quality of interactions with a system. The research that is presented in this paper focuses on identifying human factors that relate to users’ performance in Web applications that involve information processing, and a framework of personalization rules that are expected to increase users’ performance is depicted. The empirical results that are presented are derived from environments both learning and commercial; in the case of e-learning personalization was beneficial, while the interaction with a commercial site needs to be further investigated due to the implicit character of information processing in the Web

    RFID-Integrated Retail Supply Chain Services: Lessons Learnt From The Smart Project

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    This paper proposes a service-oriented architecture that utilizes the automatic, unique identification capabilities of RFID technology, data stream management systems and web services, to support RFID-integrated supply chain services. In the lifespan of SMART project (IST-2005, FP6) two services have been deployed supporting dynamic-pricing of fresh products and management of promotion events. The two services have been field-tested in three retail stores in Greece, Ireland, and Cyprus. The valuable lessons learnt, concerning RFID readability challenges, consumer privacy, customers and store staff health concerns, investment cost, and so on, are reported to provide guidance to future developers of RFID-integrated supply chain services as well as to set an agenda for academic research

    Aplicación web personalizada para consultar y compartir Información en el contexto de la industria de la moda

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    Dresser es una aplicación innovadora, que entra a incursionar al mundo de la moda, tratando de generar una red social mediante la cual los usuarios puedan consultar y compartir información de acuerdo a sus gustos, sus preferencias y su contexto. A través del proceso de investigación e implementación que se llevó a cabo para este proyecto, se logró concluir que en Colombia aún no existe una red social basada en los intereses del usuario y especializada en la moda, por lo que el impacto generado por Dresser en los usuarios es bastante positivo.Dresser is an innovative application that comes to venture into the world of fashion, trying to build a social network through which users can access and share information according to their interests, preferences and context. Through the research and implementation process conducted for this project, it was possible to conclude that in Colombia there is no social network based on interests and specialized in fashion, so the impact generated in Dresser users is quite positive.Ingeniero (a) de SistemasPregrad

    Embracing Cognitive Aspects in Web Personalization Environments -- The AdaptiveWeb Architecture

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    This paper1 presents a Web adaptation and personalization architecture that uses cognitive aspects as its core filtering element. The innovation of the proposed architecture focuses upon the creation of a comprehensive user profiling that combines parameters that analyze the most intrinsic users ’ characteristics like visual, cognitive, and emotional processing parameters as well as the “traditional ” user profiling characteristics and together tend to give the most optimized adapted and personalized result to the user. 1

    Semantic discovery and reuse of business process patterns

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    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse
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