A Pattern Analysis Application: Time Series Traces of the Effect of Kamran Khavarani?s Paintings on Viewers? Mood

Simin Mozayeni (), Karl Heiner () and Parisa Amirmostofian ()
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Simin Mozayeni: State University of New York at New Paltzt
Karl Heiner: SUNY New Paltz
Parisa Amirmostofian: NA

International Journal of Social Sciences, 2017, vol. 6, issue 2, 44-62

Abstract: We apply a Pattern Analysis to evaluate the ?lasting aesthetic effect? of Kamran Khavarani?s paintings on viewers? mood. Our sample encompasses 252 subjects. All subjects visited three galleries, one of which was Khavarani?s, albeit in different orders. The data include the subjects? moods before and after visits, the order of their visits and their genders and age brackets. Almost every subject in the group who visited Khavarani?s gallery first, experienced an increase in their ?mood? that eventually declined after leaving that gallery. We have considered 64 combinations of patterns emerging from our data and conducted all respective regressions. The Chi Squares (?2) in all cases lead to accepting the null hypothesis for independence of the variables, with high P values. We confirm that Khavarani?s painting style has a ?lasting? effect on viewer?s mood.

Keywords: A Pattern Analysis of Lasting Effect of Paintings; Time Series Traces of Aesthetic Effect of Paintings; Time Series Traces of Kamran Khavarani?s Paintings on Viewers? Mood; Lasting Aesthetic Effect of Khavarani?s Painting; Lasting Aesthetic Effect of ?Abstract Romanticism?; Pattern Analysis in Aesthetic Research; Statistical Modeling (search for similar items in EconPapers)
JEL-codes: C90 Z10 (search for similar items in EconPapers)
Date: 2017
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