961 resultados para Existential analytics


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The depression is one of the most common forms of getting ill nowaday. Due to the increase in incidence of depression cases registered worldwide, this theme has been the subject of important studies, especially regarding the symptomatological description and biological etiology of the disease. This research had the objective to understand the unique experience of depression experienced by people who recognize themselves in depression, under the focus of existential phenomenology of Martin Heidegger. To reach the proposed objective, individuals narratives interviews were conducted with four participants, starting from the triggering question, "from your experience, how is for you to being depressed?". The survey revealed that depression affects the whole person and is related to stressful life contexts. Depression was narrated as an experience of disempowerment and lack of self esteem and personal worth. The collaborators of the research referred to the depression from sad, angry, bored and pessimistic mood. The time is experienced as a restriction to the projective opening towards the possibilities of being in which the future is seen as catastrophic and the past lived as debt and guilt. The corporeality, in depression is experienced through the weight, fatigue and pains for no reason. The space is lived from the notion of fall and collapse. We also realized the desire for isolation and avoidance of social contact. Suicide is desired and represents the end of the suffering in life. The depression has proved, still, very stigmatized, because it is discredited and misunderstood. The stigma also addressed to the experience of hospitalization and the unsuitability to the socially imposed standards of beauty, which generates enough suffering to the depressed person. The medication was described based on its positive effects, as a balance and suffering reducer, but also as a producer of dependence. Were also identified according to the collaborators, traces of selfdemand, ordenality and being-for-others, characteristic of typus melancholicus. This study contributes to an understanding of the depression that goes beyond the merely biological perspective and symptomatology of the pathology. The investigation of the depressive experience, through the lens of Heidegger's phenomenology, showed us the phenomenon of the depression in their singularity, complexity and multiple meanings, showing the close relationship between the formation of the depression and the context of personal and social life of the participants

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This paper reports on a project concerned with the relationship between person and space in the context of achieving a contemplative state. The need for such a study originated with the desire to contribute to the design of multicultural spaces which could be used for a range of activities including prayer and meditation. Given that the words ‘prayer’ and ‘meditation’ are highly value-laden and potentially alienating for some people, it was decided to use the more accessible term ‘contemplative’. While the project is still underway,several findings have emerged that can be reported on and are of relevance to the conference both methodologically and substantively. Informed by phenomenological methodology, data were collected from a diverse group of people using photo-elicitation and interviewing. The technique of photo-elicitation proved to be highly effective in helping people to reveal their everyday lived experience of contemplative spaces. This methodological aspect of the project is described more fully in the paper. The initial stage of analysis produced two categories of data: varying conceptions of contemplation and contemplative space; and, common understandings of contemplation and contemplative space. From this it was found that achieving a state of contemplation involves both the person and the environment in a dialectic process of unfolding. The unfolding has various physical, psycho-social, and existential dimensions or qualities which operate sequentially and simultaneously. In the paper, these are labelled:the unfolding of the core; distinction; manifestation; cleansing; creation; and sharing, and have parallels with Mircea Eliade’s 1959 definition of sacred as 'something that manifests itself, shows itself, as something wholly different from the profane’. It also connects with the views of Nishida Kitaro from the Kyoto School of Philosophy on the theme of ‘absolute nothingness’: ‘the body-mind is dropped off and we are united with the consciousness of absolute nothingness’ (Kitaro in Heisig, 2001, p. 169). According to Marion (2005), ‘nothingness’ is defined by givenness. In the paper, this fold of givenness is interpreted in the context of the qualities of the environment that accomplish the act of coming forward into visibility through the dialectic relationship with a person. (Eliade, 1959, Heisig, 2001, Marion, 2002)

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This background paper to a panel discussion by four QUT staff members explores depression, mood disorders, suicide and meaning in life.

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The world of disability is often neglected or taken for granted in able-bodied society. Apart from the challenge that disability is a social construct (Linton, 1998, 2006; Longmore, 2003; Thompson, 1997) there is an impact on the people with disability that they either feel left out or they don’t belong in the larger community. The able-bodied community is also left with very little knowledge or no sensitivity towards people with disability. These internal whirlpools do not contribute to any community only to create larger gaps and higher differences between the groups of people. Peace (2010) claims that disability is something imposed on to a person on top of a physical impairment. Nord (2008) advocates that while environmental barriers and social attitudes are crucial aspects of a person’s experience, they can indeed disable a person. The study reported high-lights what is home for people with disability and their family members. The way the person with disability and family members without disability share the same home and nurture personal relationships with each other demands greater attention. This research sheds light on the intricate relationships that exists between the family members including person with disability and their built environment. These existential connections provide a holistic viewpoint and the glimpse into the lived experiences of homes for people with disability and their care-givers. Concepts of universal design or barrier free design have not been successful (Connell and Sanford, 1999) in revealing in-depth the nature of place-making for people with disability and their care-givers. Such studies fail to incorporate the holistic needs of individuals with disability and their family members in terms of their bodily, visceral, emotional, social, psycho-social, intuitive, spiritual and temporal needs, to name a few (Franz, Bitner, 2010). This paper reports on some preliminary findings on phenomena of dwelling for people with different kinds of disability and their care-givers sharing the same home from an interior design perspective.

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Incorporating a learner’s level of cognitive processing into Learning Analytics presents opportunities for obtaining rich data on the learning process. We propose a framework called COPA that provides a basis for mapping levels of cognitive operation into a learning analytics system. We utilise Bloom’s taxonomy, a theoretically respected conceptualisation of cognitive processing, and apply it in a flexible structure that can be implemented incrementally and with varying degree of complexity within an educational organisation. We outline how the framework is applied, and its key benefits and limitations. Finally, we apply COPA to a University undergraduate unit, and demonstrate its utility in identifying key missing elements in the structure of the course.

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Social media platforms are of interest to interactive entertainment companies for a number of reasons. They can operate as a platform for deploying games, as a tool for communicating with customers and potential customers, and can provide analytics on how players utilize the; game providing immediate feedback on design decisions and changes. However, as ongoing research with Australian developer Halfbrick, creators of $2 , demonstrates, the use of these platforms is not universally seen as a positive. The incorporation of Big Data into already innovative development practices has the potential to cause tension between designers, whilst the platform also challenges the traditional business model, relying on micro-transactions rather than an up-front payment and a substantial shift in design philosophy to take advantage of the social aspects of platforms such as Facebook.

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Recent modelling of socio-economic costs by the Australian railway industry in 2010 has estimated the cost of level crossing accidents to exceed AU$116 million annually. To better understand causal factors that contribute to these accidents, the Cooperative Research Centre for Rail Innovation is running a project entitled Baseline Level Crossing Video. The project aims to improve the recording of level crossing safety data by developing an intelligent system capable of detecting near-miss incidents and capturing quantitative data around these incidents. To detect near-miss events at railway level crossings a video analytics module is being developed to analyse video footage obtained from forward-facing cameras installed on trains. This paper presents a vision base approach for the detection of these near-miss events. The video analytics module is comprised of object detectors and a rail detection algorithm, allowing the distance between a detected object and the rail to be determined. An existing publicly available Histograms of Oriented Gradients (HOG) based object detector algorithm is used to detect various types of vehicles in each video frame. As vehicles are usually seen from a sideway view from the cabin’s perspective, the results of the vehicle detector are verified using an algorithm that can detect the wheels of each detected vehicle. Rail detection is facilitated using a projective transformation of the video, such that the forward-facing view becomes a bird’s eye view. Line Segment Detector is employed as the feature extractor and a sliding window approach is developed to track a pair of rails. Localisation of the vehicles is done by projecting the results of the vehicle and rail detectors on the ground plane allowing the distance between the vehicle and rail to be calculated. The resultant vehicle positions and distance are logged to a database for further analysis. We present preliminary results regarding the performance of a prototype video analytics module on a data set of videos containing more than 30 different railway level crossings. The video data is captured from a journey of a train that has passed through these level crossings.

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This paper draws on comparative analyses of Twitter data sets – over time and across different kinds of natural disasters and different national contexts – to demonstrate the value of shared, cumulative approaches to social media analytics in the context of crisis communication.

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Modern health information systems can generate several exabytes of patient data, the so called "Health Big Data", per year. Many health managers and experts believe that with the data, it is possible to easily discover useful knowledge to improve health policies, increase patient safety and eliminate redundancies and unnecessary costs. The objective of this paper is to discuss the characteristics of Health Big Data as well as the challenges and solutions for health Big Data Analytics (BDA) – the process of extracting knowledge from sets of Health Big Data – and to design and evaluate a pipelined framework for use as a guideline/reference in health BDA.

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Road networks are a national critical infrastructure. The road assets need to be monitored and maintained efficiently as their conditions deteriorate over time. The condition of one of such assets, road pavement, plays a major role in the road network maintenance programmes. Pavement conditions depend upon many factors such as pavement types, traffic and environmental conditions. This paper presents a data analytics case study for assessing the factors affecting the pavement deflection values measured by the traffic speed deflectometer (TSD) device. The analytics process includes acquisition and integration of data from multiple sources, data pre-processing, mining useful information from them and utilising data mining outputs for knowledge deployment. Data mining techniques are able to show how TSD outputs vary in different roads, traffic and environmental conditions. The generated data mining models map the TSD outputs to some classes and define correction factors for each class.

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Social Media Analytics ist ein neuer Forschungsbereich, in dem interdisziplinäre Methoden kombiniert, erweitert und angepasst werden, um Social-Media-Daten auszuwerten. Neben der Beantwortung von Forschungsfragen ist es ebenfalls ein Ziel, Architekturentwürfe für die Entwicklung neuer Informationssysteme und Anwendungen bereitzustellen, die auf sozialen Medien basieren. Der Beitrag stellt die wichtigsten Aspekte des Bereichs Social Media Analytics vor und verweist auf die Notwendigkeit einer fächerübergreifenden Forschungsagenda, für deren Erstellung und Bearbeitung der Wirtschaftsinformatik eine wichtige Rolle zukommt.

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Social Media Analytics is an emerging interdisciplinary research field that aims on combining, extending, and adapting methods for analysis of social media data. On the one hand it can support IS and other research disciplines to answer their research questions and on the other hand it helps to provide architectural designs as well as solution frameworks for new social media-based applications and information systems. The authors suggest that IS should contribute to this field and help to develop and process an interdisciplinary research agenda.

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Enterprises, both public and private, have rapidly commenced using the benefits of enterprise resource planning (ERP) combined with business analytics and “open data sets” which are often outside the control of the enterprise to gain further efficiencies, build new service operations and increase business activity. In many cases, these business activities are based around relevant software systems hosted in a “cloud computing” environment. “Garbage in, garbage out”, or “GIGO”, is a term long used to describe problems in unqualified dependency on information systems, dating from the 1960s. However, a more pertinent variation arose sometime later, namely “garbage in, gospel out” signifying that with large scale information systems, such as ERP and usage of open datasets in a cloud environment, the ability to verify the authenticity of those data sets used may be almost impossible, resulting in dependence upon questionable results. Illicit data set “impersonation” becomes a reality. At the same time the ability to audit such results may be an important requirement, particularly in the public sector. This paper discusses the need for enhancement of identity, reliability, authenticity and audit services, including naming and addressing services, in this emerging environment and analyses some current technologies that are offered and which may be appropriate. However, severe limitations to addressing these requirements have been identified and the paper proposes further research work in the area.

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The ability to identify and assess user engagement with transmedia productions is vital to the success of individual projects and the sustainability of this mode of media production as a whole. It is essential that industry players have access to tools and methodologies that offer the most complete and accurate picture of how audiences/users engage with their productions and which assets generate the most valuable returns of investment. Drawing upon research conducted with Hoodlum Entertainment, a Brisbane-based transmedia producer, this chapter outlines an initial assessment of the way engagement tends to be understood, why standard web analytics tools are ill-suited to measuring it, how a customised tool could offer solutions, and why this question of measuring engagement is so vital to the future of transmedia as a sustainable industry.