7,445 research outputs found

    Annotated Bibliography: Anticipation

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    Hybrid semantic-document models

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    This thesis presents the concept of hybrid semantic-document models to aid information management when using standards for complex technical domains such as military data communication. These standards are traditionally text based documents for human interpretation, but prose sections can often be ambiguous and can lead to discrepancies and subsequent implementation problems. Many organisations produce semantic representations of the material to ensure common understanding and to exploit computer aided development. In developing these semantic representations, no relationship is maintained to the original prose. Maintaining relationships between the original prose and the semantic model has key benefits, including assessing conformance at a semantic level, and enabling original content authors to explicitly define their intentions, thus reducing ambiguity and facilitating computer aided functionality. Through the use of a case study method based on the military standard MIL-STD-6016C, a framework of relationships is proposed. These relationships can integrate with common document modelling techniques and provide the necessary functionality to allow semantic content to be mapped into document views. These relationships are then generalised for applicability to a wider context. Additionally, this framework is coupled with a templating approach which, for repeating sections, can improve consistency and further enhance quality. A reflective approach to model driven web rendering is presented and evaluated. This reflective approach uses self-inspection at runtime to read directly from the model, thus eliminating the need for any generative processes which result in data duplication across source used for different purpose

    Anxiety and self-efficacy related to learning neuroanatomy in an integrated medical curriculum.

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    Medical student anxiety towards learning neuroanatomy — neurophobia, a key obstacle in medical education, is influencing medical student success and potentially swaying medical students away from neurology careers. This is particularly concerning with condensed neuroanatomy instructional hours from curriculum integration and the concurrent shortage of neurologists, combined with the rising prevalence of neurological disease, and medical students choosing neurological specialties at lower rates. Neuroanatomy education is one factor described in the literature as contributing toneurophobia, yet specific ways in which neuroanatomy education could be improved have not yet been explained. In this present work, we demonstrate four specific domains, namely content, instruction, communication, and organization, through which neuroanatomy education may be improved. We propose neuroanxiety may more accurately describe this phenomenon and developed a novel neuroanxiety scale. Our survey data show upper-class and female medical students exhibit greater neuroanxiety. Additionally, we demonstrate premedical neuroanatomy and/or neuroscience experience predicts a decrease in neuroanxiety. Another construct was explored as a way of potentially improving student task-specific confidence in neuroanatomy, namely — neuroanatomy self-efficacy. A novel neuroanatomy self-efficacy scale was developed and the effect of premedical neuroanatomy and/or neuroscience experiences on neuroanatomy self-efficacy was explored. Consistent with the literature on anatomy self-efficacy, our survey data revealed that premedical neuroanatomy experiences, especially with cadaveric dissection, improve neuroanatomy self-efficacy. Additionally, our data is trending towards female medical students showing a greater increase in neuroanatomy self-efficacy with premedical neuroscience and/or neuroanatomy exposure. Lastly, the exploration of developing a time-efficient learning intervention to be administered within an integrated curriculum led to the development of adaptive neuroanatomy eLearning intervention. Comparing the effects of the adaptive and non-adaptive eLearning interventions on medical student neuroanxiety and neuroanatomy self-efficacy demonstrated adaptive eLearning only significantly influenced neuroanatomy self- efficacy. This finding, together with our novel finding that premedical neuroanatomy and/or neuroscience experience also predicts lower neuroanxiety in medical school, suggests neuroanatomy self-efficacy may hold the key to mitigating the effects of neuroanxiety in neuroanatomy education

    “The Good, The Bad, and the Minimum Tolerable”: Exploring Expectations of Institutional Food

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    There is a tendency towards greater expectations of consumer goods and services in society—what was once judged as ideal may now be a bare minimum. This presents a challenge for food providers in the upcoming decades. As the more demanding baby boomer cohort ages, health institutions of the future will face challenges meeting their food expectations. The purpose of this study was to explore expectation type dynamics and function with updated empirical material on aging consumers expectations of institutional food and advance our current understanding of how consumers evaluate their expectations. This qualitative study employed in-depth semi structured interviews with 14 informants between the age of 58–79. Content analysis was performed to capture the informants’ food expectations based on the expectation hierarchy proposed by Santos and Boote. Analyzing the content and relationship between different expectation types led to three main findings: expectation functions and content, interconnectedness, and the role of affect. Based on the findings, this study contributes by making several propositions for future research and proposes an updated expectancy–disconfirmation model. Importantly, this study provides novel knowledge that can help health institutions understand and meet aging consumers expectations of institutional food.publishedVersio

    The design of 3D cyberspace as user interface: Advantages and limitations

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    Virtual reality propagandists, technologists and the Internet community have long debated the issue of the usability of online three-dimensional (3D) environments. A lot of work was published about the benefits of 3D spaces for human-computer interaction and information visualisation due to their realism (Anders, Kalawsky, Crossley, Davies, McGrath, Rejman-Greene, 1998, Hamit, 1993, Heim, 1992, Aukstakalnis, Blatner, Roth, 1992). This topic also receives continuous industry support including standardisation of Virtual Reality Modeling Language ( VRML, VRML Consortium, 1997) and the more recent Macromedia & Intel alliance to bring web 3D to the mainstream (200 1, Intel Corporation). The actual implementation of this technology is, however, still challenging (McCarthy & Descartes, 1998) and minimal because 3D is too new and waiting for good design to be discovered (Nielsen, 1998). The practical aim of this project is to fulfil the niche by creating a functional 3D interface for the access of two-dimensional (2D) information, such as text, using VRML. The theoretical aim is to contribute to further research into 3D usability by describing and analysing the design process in terms of possibilities, challenges and limitations

    Human-computer interaction in e-business

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    E-business has brought much change to our daily life and will become a necessary part of business, economy, and society. At least for the foreseeable future, e-business will keep growing. Each study of this dissertation was devoted to human-computer interaction (HCI) in e-business to improve website usability. First, data input tools were compared and optimal design characteristics were suggested for usable web based interaction. When proper input tools are employed, higher usability can be achieved. Second, a practical design process and the use of web elements were studied through the simulation of an e-bookstore. Web design influences e-business traffic and sales. Third, a grid menu was designed and examined for situations in which a menu contains a larger number of options. The grid menu was observed to be both robust and efficient. Fourth, an interaction model for the pull-down menu, including perceptive, cognitive, and motor behavior processes, was studied. The resulting model fit the experimental data well. Fifth, problems with iconic interfaces on e-business websites were reported and a methodology suggested to improve user interface design

    Exploring Bottled Water Purchase Intention via Trust in Advertising, Product Knowledge, Consumer Beliefs and Theory of Reasoned Action

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    As the bottled water market is projected to grow continuously worldwide, so is the plastic waste that pollutes the environment. The beverage industry’s marketing campaigns have played an important role in sustaining the popularity of bottled water. Social science theory-based empirical research examining how consumers make bottled water consumption decisions remains limited. To help fill this literature gap, the current study tested a conceptual framework to explore the influence of trust in bottled water advertising and perceived product knowledge on consumer beliefs about bottled water, in conjunction with theory of reasoned action. The study surveyed a sample of college students in the U.S. (N = 445). Findings showed that greater trust in bottled water advertising as well as more false knowledge and less factual knowledge were significantly related to consumer beliefs about bottled water’s product content and image. Furthermore, more favorable cognitive beliefs, affective beliefs, attitude and perceived subjective norms toward bottled water consumption were positively related to purchase intention. To reduce bottled water purchase among young adults, it would be beneficial to utilize marketing strategies to popularize and normalize carrying a reusable water bottle as an environmentally friendly habit and a preferred lifestyle choice
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