722 resultados para Raves and emotions


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Theories on the link between achievement goals and achievement emotions focus on their within-person functional relationship (i.e., intraindividual relations). However, empirical studies have failed to analyze these intraindividual relations and have instead examined between-person covariation of the two constructs (i.e., interindividual relations). Aiming to better connect theory and empirical research, the present study (N = 120 10th grade students) analyzed intraindividual relations by assessing students’ state goals and emotions using experience sampling (N = 1,409 assessments within persons). In order to replicate previous findings on interindividual relations, students’ trait goals and emotions were assessed using self-report questionnaires. Despite being statistically independent, both types of relations were consistent with theoretical expectations, as shown by multi-level modeling: Mastery goals were positive predictors of enjoyment and negative predictors of boredom and anger; performance-approach goals were positive predictors of pride; and performance-avoidance goals were positive predictors of anxiety and shame. Reasons for the convergence of intra- and interindividual findings, directions for future research, and implications for educational practice are discussed.

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There are close links between emotions and values, or at least this is what our ordinary ways of talking suggest. For many, if not all, types of emotion it is thus possible to find a corresponding evaluative term, one often derived from the name of the emotion in question. These are for example evaluative terms such as ‘shameful’, ‘offensive, ‘annoying’, ‘dangerous’, ‘contemptible’, ‘admirable’, ‘amusing’, ‘exciting’, ‘boring’, and the like. Starting perhaps from these linguistic observations, the philosophical task is of course to elucidate the nature of the links between emotions and values, and attempts at doing so have traditionally revolved around the following three questions: first, what is the role of emotions in elucidating the nature of value? For example, should dangerousness be understood in term of the fear response? Second, what is the role of emotions in our getting access to values? For example, what may be the role of fear in becoming aware that a given animal is dangerous? Third, what value do emotions have? For example, is fear of special value because it helps behaving appropriately towards its object? We hall take up these questions in turn and survey the most important answers they have received in the literature. As we shall discover, answering the first question amounts to surveying a variety of theories according to which there is an ontological relation between values and emotions since the former should be elucidated in terms of the latter (Sec. 1). Addressing the second question consists in reviewing theories according to which there is an intentional relation between emotions and values because the former are apprehensions of value or evaluations (Sec. 2). Grappling with the third question, we shall explore some reasons for thinking that emotions can exemplify values (Sec. 3).

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Joining any new community involves transition and adaptation. Just as we learn to adapt to different cultures when we choose to live abroad, so students learn the language and culture of an academic community in order to succeed within that environment. At the same time however, students bring with them individual learning styles and expectations, influenced by their prior experiences of learning and of life more generally. Some have excelled at school; others have come to fashion seeking something in which to excel for the first time. Commencing a degree in fashion design brings students into contact with peers and lecturers who share their passion, providing them with a community of practice which can be both supportive and at the same time intimidating.----- In Queensland where university level study in fashion is such a new phenomenon, few applicants have any depth of training in design when they apply to study fashion. Unlike disciplines such as Dance or Visual Art, where lecturers can expect a good level of skill upon entry to a degree program, we have to look for the potential evidenced in an applicant’s portfolio, much of which is untutored work that they have generated themselves in preparation for application. This means that many first year fashion students at QUT whilst very passionate about the idea of fashion design are often very naïve about the practice of fashion design, with limited knowledge of the history or cultural context of fashion and few of the technical skills needed to translate their ideas into three dimensional products.----- For teachers engaging with first year students in the design studios, it is critical to be cognizant of this mix of different experiences, expectations and emotions in order to design curricula and assessment that stretch and engage students without unduly increasing their sense of frustration and anxiety. This paper examines a first year project designed to provide an introduction to design process and to learning within a creative discipline. The lessons learnt provide a valuable and transferable resource for lecturers in a variety of art and design disciplines.

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The ability of a designer – for example, interior designer, architect, landscape architect, etc. – to design for a particular target group (user and/or clients) is potentially enhanced through more targeted studies relating colour in situ. The study outlined in this paper involved participant responses to five achromatic scenes of different built environments prior to viewing the same scenes in colour. Importantly, in this study the participants, who were young designers, came to realise that colour potentially holds the power to impact on the identity of an architectural form, an interior space and/or particular elements such as doorways, furniture settings, etc., as well as influence atmosphere. Prior to discussing the study, a selection of other research, which links colour to meaning and emotions, introduces how people understand and/or feel in relation to colour. For example, yellow is said to be connected to happiness; or red evokes feelings of anger. Secondly, the need for spatial designers to understand colour in context is raised. An overview of the study is then provided. It was found that the impact of colour includes a shift in perception of aspects such as its atmosphere and youthfulness. Through studio/class discussions it was also noted the predicted age of the place, the function, and in association, the potential users when colour was added (or deleted) were often challenged.

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Big Data presents many challenges related to volume, whether one is interested in studying past datasets or, even more problematically, attempting to work with live streams of data. The most obvious challenge, in a ‘noisy’ environment such as contemporary social media, is to collect the pertinent information; be that information for a specific study, tweets which can inform emergency services or other responders to an ongoing crisis, or give an advantage to those involved in prediction markets. Often, such a process is iterative, with keywords and hashtags changing with the passage of time, and both collection and analytic methodologies need to be continually adapted to respond to this changing information. While many of the data sets collected and analyzed are preformed, that is they are built around a particular keyword, hashtag, or set of authors, they still contain a large volume of information, much of which is unnecessary for the current purpose and/or potentially useful for future projects. Accordingly, this panel considers methods for separating and combining data to optimize big data research and report findings to stakeholders. The first paper considers possible coding mechanisms for incoming tweets during a crisis, taking a large stream of incoming tweets and selecting which of those need to be immediately placed in front of responders, for manual filtering and possible action. The paper suggests two solutions for this, content analysis and user profiling. In the former case, aspects of the tweet are assigned a score to assess its likely relationship to the topic at hand, and the urgency of the information, whilst the latter attempts to identify those users who are either serving as amplifiers of information or are known as an authoritative source. Through these techniques, the information contained in a large dataset could be filtered down to match the expected capacity of emergency responders, and knowledge as to the core keywords or hashtags relating to the current event is constantly refined for future data collection. The second paper is also concerned with identifying significant tweets, but in this case tweets relevant to particular prediction market; tennis betting. As increasing numbers of professional sports men and women create Twitter accounts to communicate with their fans, information is being shared regarding injuries, form and emotions which have the potential to impact on future results. As has already been demonstrated with leading US sports, such information is extremely valuable. Tennis, as with American Football (NFL) and Baseball (MLB) has paid subscription services which manually filter incoming news sources, including tweets, for information valuable to gamblers, gambling operators, and fantasy sports players. However, whilst such services are still niche operations, much of the value of information is lost by the time it reaches one of these services. The paper thus considers how information could be filtered from twitter user lists and hash tag or keyword monitoring, assessing the value of the source, information, and the prediction markets to which it may relate. The third paper examines methods for collecting Twitter data and following changes in an ongoing, dynamic social movement, such as the Occupy Wall Street movement. It involves the development of technical infrastructure to collect and make the tweets available for exploration and analysis. A strategy to respond to changes in the social movement is also required or the resulting tweets will only reflect the discussions and strategies the movement used at the time the keyword list is created — in a way, keyword creation is part strategy and part art. In this paper we describe strategies for the creation of a social media archive, specifically tweets related to the Occupy Wall Street movement, and methods for continuing to adapt data collection strategies as the movement’s presence in Twitter changes over time. We also discuss the opportunities and methods to extract data smaller slices of data from an archive of social media data to support a multitude of research projects in multiple fields of study. The common theme amongst these papers is that of constructing a data set, filtering it for a specific purpose, and then using the resulting information to aid in future data collection. The intention is that through the papers presented, and subsequent discussion, the panel will inform the wider research community not only on the objectives and limitations of data collection, live analytics, and filtering, but also on current and in-development methodologies that could be adopted by those working with such datasets, and how such approaches could be customized depending on the project stakeholders.

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Although science is generally assumed to be well integrated into rational decision-making models, it can be used to destabilise consultative processes, particularly when emotions are involved. Water policies are often seen as debates over technical and engineering issues, but can be highly controversial. Recycled water proposals, in particular, can create highly emotive conflicts. Through a case study regarding the rejection of recycled water proposals in the south-east Queensland, Australia, we explore the influence of science and emotions in contemporary water planning. We highlight the dangers inherent in promoting technical water planning issues at the expense of appropriate consideration of citizen concerns. Combining the science–policy interface and stakeholder engagement literatures, we advocate for collaborative decision-making processes that accommodate emotions and value judgements. A more collaborative stakeholder engagement model, founded on the principles of co-learning, has the potential to broaden the decision-making base and to promote better and more inclusive decision-making.

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Research on subtle dehumanization has focused on the attribution of human uniqueness to groups (infrahumanization), but has not examined another sense of humanness, human nature. Additionally, research has not extended far beyond Western cultures to examine the universality of these forms of dehumanization. Hence, the attribution of both forms of humanness was examined in three cross-cultural studies. Anglo-Australian and ethnic Chinese attributed values and traits (Study 1, N = 200) and emotions (Study 2, N = 151) to Australian and Chinese groups, and rated these characteristics on human uniqueness and human nature. Both studies found evidence of complementary attributions of humanness for Australians, who denied Chinese human nature but attributed them with greater human uniqueness. Chinese denied Australians human uniqueness, but their attributions of human nature varied for traits, values, and emotions. Study 3 (N = 54) demonstrated similar forms of dehumanization using an implicit method. These results and their implications for dehumanization and prejudice suggest the need to broaden investigation and theory to encompass both forms of humanness, and examine the attribution of both lesser and greater humanness to outgroups.

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"The Art of Sympathy: Forms of Moral and Emotional Persuasion" in Fiction is an interdisciplinary study that looks closely at the ways that stories evoke sympathy, and the significance of this emotion for the development of moral attitudes and awareness. By linking readers' emotional responses to fiction with the potential impact of such responses on "the moral imagination," the study builds on empirical research conducted by literary scholars and psychologists into the emotional effects of reading fiction, as well as social psychological research into the connections between empathy/sympathy and moral development. I first investigate the dynamics of readers beliefs regarding characters in fictional narratives, and the nature of the emotions that they may experience as a result of those beliefs. The analysis demonstrates that there are important similarities between real emotions and emotions generated by fiction. Recognizing these similarities, I claim, can help us to conceptualize the nature of sympathetic responses to fictional characters. Building on these assertions, I then draw on research from social psychology and philosophy to develop a comprehensive definition of sympathy and to clarify the ways in which sympathy operates, both in people s daily lives and in readers sympathetic responses to fictional characters. Having established this definition and delineated its practical implications, I then examine how particular stories, through a variety of narrative techniques, persuade readers to feel sympathy for characters who are unsympathetic in certain ways. In order to verify my claims about the impact of these stories on readers emotions, I also review the results of tests that I conducted with nearly 200 adolescent readers. Through these tests, which were constructed and scored according to methods prevalent in social psychological research, it was determined that a majority of readers felt sympathy for the protagonists in two of the stories included in the study. These results were combined with data from an additional test, a standard measure of empathy and sympathy in the field of social psychology. The cross-tabulation of these results suggests that there was not a strong connection between readers responses and their general tendencies to feel sympathy for others. This finding would appear to support my hypotheses regarding the sympathetic persuasiveness of the stories in question. In light of these results, finally, I consider the potential contribution that fiction can make to adolescent emotional and moral development and the implications of that potential for future language arts curricula in the schools. In particular, I suggest the pedagogical importance of providing adolescents with opportunities to engage with the lives of fictional characters, and especially to experience feelings of sympathy for individuals towards whom they ordinarily might feel aversion.

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In the near future, robots and CG (computer graphics) will be required to exhibit creative behaviors that reflect designers’ abstract images and emotions. However, there are no effective methods to develop abstract images and emotions and support designers in designing creative behaviors that reflect their images and emotions. Analogy and blending are two methods known to be very effective for designing creative behaviors. The aim of this study is to propose a method for developing designers’ abstract behavioral images and emotions and giving shape to them by constructing a computer system that supports a designer in the creation of the desired behavior. This method focuses on deriving inspiration from the behavioral aspects of natural phenomena rather than simply mimicking it. We have proposed two new methods for developing abstract behavioral images and emotions by which a designer can use analogies from natural things such as animals and plants even when there is a difference in the number of joints between the natural object and the design target. The first method uses visual behavioral images, the second uses rhythmic behavioral images. We have demonstrated examples of designed behaviors to verify the effectiveness of the proposed methods.

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In three related experiments, 250 participants rated properties of their autobiographical memory of a very negative event before and after writing about either their deepest thoughts and emotions of the event or a control topic. Levels of emotional intensity of the event, distress associated with the event, intrusive symptoms, and other phenomenological memory properties decreased over the course of the experiment, but did not differ by writing condition. We argue that the act of answering our extensive questions about a very negative event led to the decrease, thereby masking the effects of expressive writing. To show that the changes could not be explained by the mere passage of time, we replicated our findings in a fourth experiment in which all 208 participants nominated a very negative event, but only half the participants rated properties of their memory in the first session. Implications for reducing the effects of negative autobiographical memories are discussed.