#MAGIC TRICK 12 HOW TO#

The results revealed that digital transformations have strongly affected the magical profession in terms of changing their career paths and entry into the profession. The participants were theme interviewed and also collected self-report questionnaire data.

We used social network analysis (n=120) to identify Finland’s most highly regarded magicians (n=16) representing different generations. We examined how the emerging digital culture has affected magicians’ careers, the development of their expertise and the general practices of their professions. Present shortcomings may turn into areas of synergy with the potential to link neuroscience education, research, and advocacy. We also point out current communication gaps between science and society, particularly in the context of neurodiverse audiences and those that include neurological and psychiatric patients. Here we explore some of the techniques intrinsic to crafting scientific narratives, as well as the reasons why scientific storytelling may be an optimal way of communicating research to nonspecialists.

#MAGIC TRICK 12 HOW TO#

Yet, many researchers are uncertain about how to approach scientific storytelling, or feel they lack the tools to undertake it. Storytelling techniques can help convey science by engaging people's imagination and emotions. This need is recognized by governmental and funding agencies that compel scientists to increase their public engagement and disseminate research findings in an accessible fashion.

This chapter presents a brief overview to discuss whether a computer-based measurement tool that can perform automatic calculations can be used in the evaluation of linguistic creativity in light of the evidence obtained from the literature.Īctive communication between researchers and society is necessary for the scientific community's involvement in developing science-based policies. However, it can be said that there are very few studies that measure creativity based on semantic distance. Researches conducted in the last 10 years have shown that computational approaches towards semantic distance have made significant contributions to the field both in theory and in practice. In addition, field experts turned to new research to understand whether creativity assessment could be automated and measured more quickly and qualitatively, and to explore whether this calculation method could be standardized. While there are studies in the literature on the creation of computer-based creative products on the one hand, studies on whether creativity can be evaluated automatically or not, on the other hand, have started to attract attention. Accordingly, technological developments offer great opportunities for creativity researches and assessment of creativity. Science and technology getting continue to advance, the true wealth of our civilization will manifest in human creative output.

The results show that the evaluation of art seems to be modulated, at least in part, by prior stereotypes and biases about the creative skills of AI. Experiment 2 reproduced these results and extended them to a slightly different setting, a different piece of (exclusively auditory) artwork, and added some additional measures. Although all of them were exposed to the same artwork, the results showed that people attributed lower sensitivity, lower ability to evoke their emotions, and lower quality to the artwork when they thought the artist was AI as compared to when they believed the artist was human. We told half of the participants that the artist was a human and we confessed to the other half that it was an AI. In Experiment 1, participants were exposed to AI-generated audiovisual artwork and were asked to evaluate it. However, to the best of our knowledge, there is not much empirical evidence on how people perceive the skills of AI in these domains. Artificial Intelligence (AI) is currently present in areas that were, until recently, reserved for humans, such as, for instance, art.

Magic trick 12