907 research outputs found

    Software psychology and the computerisation of the weighted application blank : a thesis presented in partial fulfillment of the requirements for the degree of Master of Arts in Psychology at Massey University

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    This study investigated the use of a Weighted Application Blank (WAB) for selecting candidates likely to pass the first year of a comprehensive nursing course. A subject pool of 415 comprehensive nursing course applicants was drawn from 1980 to 1985 first year Polytechnic classes. A discriminant analysis on the application form responses made by these subjects was performed. Computer software was then developed incorporating results from Human Factors research. The software aimed to computerise the WAB method of classifying applicants following principles of software psychology. A group of 50 computer naive subjects participated in an experimental evaluation of the software. Five subjects took part in initial pilot study trials of the software. The remaining 45 subjects' were divided into three equally sized groups. The subjects task was to enter eight sets of nursing course application form data. The "computerised" group received instructions on how to do this from the screen, the "written" group from a manual and the "verbal" group verbally from the experimenter. Time taken to complete the task and the number of errors made were recorded. Three ANOVAs were performed to establish if group exerted an influence on trial times or error rates. In addition, applicants were required to complete two questionnaires. The first prior to the experimental trials and the second following them. Results indicated that group influenced time taken on the task (F(1,294) = 7.43, p<.001). Group did not exert an influence on errors made on each question (F(32,672) = 1.022, p>.05). The interaction between errors made on each application form and group was significant (F(14,294) = 2.809,p.05). Responses to the questionnaires were evaluated and an assessment was made of the responses. It was concluded that the fields of human­ computer interface design and personnel selection had been successfully combined. Leading to the expectation that an area of great research potential had been opened up

    Light me up: power and expertise in risk communication and policy-making in the e-cigarette health debates

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    This paper presents a detailed account of policy-making in a contemporary risk communication arena, where strong power dynamics are at play that have hitherto lacked theoretical analysis and empirical validation. Specifically, it expands on the understanding of how public health policy decisions are made when there is a weak evidential base and where multiple interpretations, power dynamics and values are brought to bear on issues of risk and uncertainty. The aim of the paper is to understand the role that power and expertise play in shaping public health risk communication within policy-related debates. By drawing on insight from a range of literatures, the paper argues that there several interacting factors that shape how a particular narrative gains prominence within a wider set of perspectives and how the arguments and findings associated with that perspective become amplified within the context of policy choices. These findings are conceptualised into a new model – a policy evaluation risk communication (PERC) framework – and are then tested using the Electronic cigarette debate as a case study

    Inherent complexities of a multi-stakeholder approach to building community resilience

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    Enhancing community resilience has increasingly involved national and regional governments adopting a multi-stakeholder approach because of the potential interagency benefits. This has led to questions about how best to involve stakeholder groups in translating community resilience policies into practice. This exploratory study contributes to this discussion by addressing two key areas that are fundamental in the concerted effort to build community resilience to natural hazards: (1) stakeholder understanding of community resilience as a concept; and (2) the difficulties associated with the processes of risk assessment and preparedness that stakeholders face locally in building community resilience. Data were collected through semistructured interviews with 25 practitioners and experts within Scotland’s resilience community, and were analyzed through an inductive approach to thematic analysis. These data show how the interpretation of community resilience differs across stakeholder groups. Analysis of the data reveals challenges around the nature of the risk assessment and its role in shaping risk perception and communication. Significant complications occur in communicating about low probability-high consequence events, perceived territoriality, competing risk prioritizations, and the challenges of managing hazards within a context of limited resources. The implications of these issues for policy and practice are also discussed

    Building community resilience to natural hazards: Lessons from Katrina

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    The Long and the Short End of the Term Structure of Policy Rules

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    We first document a large secular shift in the estimated response of the entire term structure of interest rates to inflation and output in the United States. The shift occurred in the early 1980s. We then derive an equation that links these responses to the coefficients of the central bank's monetary policy rule for the short-term interest rate. The equation reveals two countervailing forces that help explain and understand the nature of the link and how its sign is determined. Using this equation, we show that a shift in the policy rule in the early 1980s provides an explanation for the observed shift in the term structure. We also explore a shift in the policy rule in the 2002-2005 period and its possible effect on long-term rates.

    Media processor implementations of image rendering algorithms

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    Demands for fast execution of image processing are a driving force for today\u27s computing market. Many image processing applications require intense numeric calculations to be done on large sets of data with minimal overhead time. To meet this challenge, several approaches have been used. Custom-designed hardware devices are very fast implementations used in many systems today. However, these devices are very expensive and inflexible. General purpose computers with enhanced multimedia instructions offer much greater flexibility but process data at a much slower rate than the custom-hardware devices. Digital signal processors (DSP\u27s) and media processors, such as the MAP-CA created by Equator Technologies, Inc., may be an efficient alternative that provides a low-cost combination of speed and flexibility. Today, DSP\u27s and media processors are commonly used in image and video encoding and decoding, including JPEG and MPEG processing techniques. Little work has been done to determine how well these processors can perform other image process ing techniques, specifically image rendering for printing. This project explores various image rendering algorithms and the performance achieved by running them on a me dia processor to determine if this type of processor is a viable competitor in the image rendering domain. Performance measurements obtained when implementing rendering algorithms on the MAP-CA show that a 4.1 speedup can be achieved with neighborhood-type processes, while point-type processes achieve an average speedup of 21.7 as compared to general purpose processor implementations

    Student transitions to blended learning: an institutional case study

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    This paper examines the experiences of students transitioning to blended learning in the University of Glasgow as part of the QAA Enhancement Themes work on Student Transitions. We draw here on exploratory, qualitative research to examine the benefits, challenges and skills developed by students during transitions to blended learning as a means of advancing understanding, and informing future curriculum design. Data from home undergraduate and international postgraduate students were collected over two years through focus groups, individual interviews and end-of-course quality assurance surveys. We found that while home/undergraduate and international/postgraduate students have similar transition experiences, international taught postgraduates encounter additional challenges in terms of acclimatising to UK higher education (HE), especially within shorter programmes of study and where pedagogical and language differences exist. The findings are integrated in a conceptual framework highlighting the importance of access, acculturation (attitudes) and attributes (skills) to enable learner autonomy to engage effectively in blended learning. The findings have implications for institutional infrastructure, curriculum design and learner development. Further research is required to collect a larger data set as a means of developing the study’s conceptual framework, in order to better understand and support diverse student transitions to blended learning

    An experimental study of semantic extension in a novel communication system

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    Semantic extension plays a key role in language change and grammaticalisation. Here we use a dyadic interaction paradigm to study semantic extension of novel labels in controlled circumstances. We ask whether participants will be able to (i) use highly accessible associations in the perceptual environment (colour-shape associations) to converge on a meaning for the novel labels, and (ii) extend these meanings to apply to both concrete targets (objects) and abstract targets (emotions). Further, given the argument that both metonymy and metaphor are important drivers of language change, we investigate whether participants will be able to draw on relations of contiguity (‘metonymic’ associations, e.g. colour-shape or object-colour) and relations of similarity (‘metaphorical’ associations, e.g. emotion-colour) to extend the meaning of labels

    Institutional and Student Transitions Into Enhanced Blended Learning

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    This presentation provides an overview of the ‘Transitions into blended learning’ project, which has focused on three areas: developing an institutional transition framework, researching student experiences, and identifying interventions to support effective transitions. The framework identified external drivers for blended learning, a set of considerations for institutions, and a set of processes to facilitate change involving three stakeholder groups at the heart of the model. The work included learner experience research with students newly engaged in blended learning. This work identified support needs around access (to technology and learning materials), attitudes (towards learning online) and attributes (skills) needed to engage autonomously in blended learning. The institution-wide Enhancement themes team identified a set of interventions or ‘anchor points’ to prevent the institution ‘drifting back’ into purely traditional approaches to learning and teaching. These included the recognition and promotion of good practice through case studies, development of an institutional e-learning framework, and an event to encourage staff and students to share good practice in blended learning. This three-year project was largely led by a PhD student (JA), working with the principal investigator (VHD) and the institutional representative (KG)

    Putative axonal input and output pathways of the circadian clock system in the brain of the insect Rhodnius prolixus (Hemiptera)

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    The lateral clock neurons (LN s) arborize in the accessory medulla ( aMe) and the dorsal midbrain. In hemimetabolous insects, this latter region appears highly developed and has been extensively studied in the insect Rhodnius prolixus within which it is called the principle protocerebral arborization area (PPA). This study investigated the importance of the PPA in the Rhodnius brain clock system. Double label immunohistochemistry and laser scanning confocal microscopy allowed observation of close associations between neurons stained with antibodies against four neurochemicals and the LNs. Neuronal projections more densely innervated the PPA than the aMe. All neurochemicals were produced and released with a daily rhythm, implying clock control, likely via PPA axons. Taken together, these results suggest that the PPA is important in the integration of timing information in the Rhodnius brain clock system, perhaps as important as the aMe, containing many potential pathways for input to and output from the system
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