Patrick S. Markey
University of Vienna
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Featured researches published by Patrick S. Markey.
Frontiers in Human Neuroscience | 2016
Matthew Pelowski; Patrick S. Markey; Jon O. Lauring; Helmut Leder
The last decade has witnessed a renaissance of empirical and psychological approaches to art study, especially regarding cognitive models of art processing experience. This new emphasis on modeling has often become the basis for our theoretical understanding of human interaction with art. Models also often define areas of focus and hypotheses for new empirical research, and are increasingly important for connecting psychological theory to discussions of the brain. However, models are often made by different researchers, with quite different emphases or visual styles. Inputs and psychological outcomes may be differently considered, or can be under-reported with regards to key functional components. Thus, we may lose the major theoretical improvements and ability for comparison that can be had with models. To begin addressing this, this paper presents a theoretical assessment, comparison, and new articulation of a selection of key contemporary cognitive or information-processing-based approaches detailing the mechanisms underlying the viewing of art. We review six major models in contemporary psychological aesthetics. We in turn present redesigns of these models using a unified visual form, in some cases making additions or creating new models where none had previously existed. We also frame these approaches in respect to their targeted outputs (e.g., emotion, appraisal, physiological reaction) and their strengths within a more general framework of early, intermediate, and later processing stages. This is used as a basis for general comparison and discussion of implications and future directions for modeling, and for theoretically understanding our engagement with visual art.
Frontiers in Psychology | 2017
Matthew Pelowski; Gernot Gerger; Yasmine Chetouani; Patrick S. Markey; Helmut Leder
When an individual participates in empirical studies involving the visual arts, they most often are presented with a stream of images, shown on a computer, depicting reproductions of artworks by respected artists but which are often not known to the viewer. While art can of course be shown in presentia actuale—e.g., in the museum—this laboratory paradigm has become our go-to basis for assessing interaction, and, often in conjunction with some means of rating, for assessing evaluative, emotional, cognitive, and even neurophysiological response. However, the question is rarely asked: Do participants actually believe that every image that they are viewing is indeed “Art”? Relatedly, how does this evaluation relate to aesthetic appreciation, and do the answers to these questions vary in accordance with different strategies and interpersonal differences? In this paper, we consider the spontaneous classification of digital reproductions as art or not art. Participants viewed a range of image types—Abstract, Hyperrealistic, Poorly Executed paintings, Readymade sculptures, as well as Renaissance and Baroque paintings. They classified these as “art” or “not art” using both binary and analog scales, and also assessed for liking. Almost universally, individuals did not find all items within a class to be “art,” nor did all participants agree on the arthood status for any one item. Art classification in turn showed a significant positive correlation with liking. Whether an object was classified as art moreover correlated with specific personality variables, tastes, and decision strategies. The impact of these findings is discussed for selection/assessment of participants and for better understanding the basis of findings in past and future empirical art research.
NeuroImage | 2017
Tao Liu; Xingchen Liu; Li Yi; Chaozhe Zhu; Patrick S. Markey; Matthew Pelowski
&NA; We review a relatively new method for studying the developing brain in children and infants with Autism Spectrum Disorder (ASD). Despite advances in behavioral screening and brain imaging, due to paradigms that do not easily allow for testing of awake, very young, and socially‐engaged children—i.e., the social and the baby brain—the biological underpinnings of this disorder remain a mystery. We introduce an approach based on functional near‐infrared spectroscopy (fNIRS), which offers a noninvasive imaging technique for studying functional activations by measuring changes in the brains hemodynamic properties. This further enables measurement of brain activation in upright, interactive settings, while maintaining general equivalence to fMRI findings. We review the existing studies that have used fNIRS for ASD, discussing their promise, limitations, and their technical aspects, gearing this study to the researcher who may be new to this technique and highlighting potential targets for future research. HighlightsWe review fNIRS approaches to studying developing baby brain in individuals with ASD.fNIRS can measure especially brain activation of babies in their first year of life.fNIRS can measure brain activation of babies in natural social contexts.We highlight potential targets for future study, marking a critical window into ASD.
Physics of Life Reviews | 2017
Matthew Pelowski; Patrick S. Markey; Michael Forster; Gernot Gerger; Helmut Leder
Physics of Life Reviews | 2015
Helmut Leder; Patrick S. Markey; Matthew Pelowski
Psychology of Aesthetics, Creativity, and the Arts | 2018
Matthew Pelowski; Patrick S. Markey; Juergen Goller; Eric L. Förster; Helmut Leder
Physics of Life Reviews | 2018
Matthew Pelowski; Patrick S. Markey; Helmut Leder
Physics of Life Reviews | 2017
Matthew Pelowski; Patrick S. Markey; Michael Forster; Gernot Gerger; Helmut Leder
Physics of Life Reviews | 2017
Matthew Pelowski; Patrick S. Markey; Michael Forster; Gernot Gerger; Helmut Leder
Physics of Life Reviews | 2017
Matthew Pelowski; Patrick S. Markey; Michael Forster; Gernot Gerger; Helmut Leder