has a positive impact on our sense of hope, self-worth, and well-being. improves our sense of connectedness and widens our social networks. decreases depression and anxiety and reduces stress.
Explanation: Today, millions of individuals across the globe regularly encounter works of art. Whether, in the museum, the city-center, or on the web, art is an omnipresent part of human life. Underlying the fascination with art is a uniquely impactful experience. When individuals describe noteworthy art or explain why they go to museums, most often they refer to a complex mix of psychological events (Pelowski and Akiba, 2011). Art viewing engenders myriad emotions, evokes evaluations, physiological reactions, and in some cases can mark or alter lives. Reactions can also differ greatly between individuals and settings, or evolve within individual experiences themselves.
Understanding this multifaceted impact of art is key for numerous areas of scholarship—including all humanities, sociology, evolution, museum education, art history—and is especially key for psychology and empirical art research (Leder, 2013). The relevance of the topic has only grown in the past decade, which has seen a burgeoning of psychological aesthetics through the emergence of new empirical methods, growing interest in affect and emotion, and new integration between behavioral and neurophysiological analyses.
Perhaps most important, recent approaches have been accompanied by attempts to model the underlying processes of art engagement (Leder, 2013). These models build from recent trends in cognitive science, employing a visual approach for highlighting the interconnections and outcomes in our experience. They posit key inputs, and connect these via a flow of processing stages (often utilizing a box-and-arrow design) to outcomes or psychological implications. Thus, by offering a process-driven articulation of psychological elements, models have become the indispensable basis for shaping hypotheses. Even more, by stepping beyond written theory and articulating ideas within a visual frame, models can emphasize processes and important elements that previously might have been merely implicit. Thus, the visual models themselves often become the working theories for art study, and determine empirical research.
However, current modeling also suffers from several limitations, which hamper our ability to fully compare and understand approaches. Models are often made with different emphases and visual grammars. There are often also different arrangements of processing stages or focus on different portions of the processing sequence. Psychological inputs and outcomes are also often differently considered, or can be omitted from the processing sequence. Thus, we often lose the major theoretical benefit—a clear connection between inputs, processes, and outputs—that can be had from placing ideas into a visual form. It is also difficult to consider various models' overlaps or major differences when explaining specific reactions to art, and thus difficult to articulate how they might contribute to our understanding of art experience.
This is the goal of this paper, which represents our attempt to provide a comparison of current key modeling approaches, and involving their translation into a comparable visual format. We do this by reviewing six influential approaches to art experience, as well as supporting literature by the same authors, and place these into a model form. For existing models, we adapt the previous approaches to a unified layout, and also suggest additions or changes based on our literature review. When an author's idea does not yet have a visual form, we newly create models based on their arguments. Through our review, we also give specific consideration to outputs or psychological implications for art experience, as well as general organization around early, intermediate and late processing stages. We end with a synthesis and discussion of avenues for future research. In this review, we have chosen approaches, which, we feel, have come to be bases for the past decade of general empirical art-viewing research, and which employ a cognitive or information processing focus. Although this paper can, admittedly, only address a small selection of models, by providing this analysis, we hope to create one more useful tool for advancing understanding of art processing and modeling research.
