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14 - Automatic Analysis of Aesthetics: Human Beauty, Attractiveness, and Likability

from Part II - Machine Analysis of Social Signals

Published online by Cambridge University Press:  13 July 2017

Hatice Gunes
University of Cambridge
Björn Schüller
Imperial College London and Technical University Munich
Judee K. Burgoon
University of Arizona
Nadia Magnenat-Thalmann
Université de Genève
Maja Pantic
Imperial College London
Alessandro Vinciarelli
University of Glasgow
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According to the Oxford English Dictionary the definition of aesthetics is “concerned with beauty or the appreciation of beauty.” Despite the continuous interest and extensive research in cognitive, evolutionary, and social sciences, modeling and analysis of aesthetic canons remain open.

Contemporary theories of aesthetics emphasize critical thinking about objects, things, and people as well as experience, interaction, and value. In this regard, aesthetic norms have become more relevant to the context of interaction between humans and objects, human and computers (human–computer interaction or HCI), and between humans themselves (human–human interaction or HHI) (Kelly, 2013).

When interested readers look up the phrases aesthetics and computing on the web, they will likely encounter three main areas that appear to be related: aesthetic computing (note the missing “s” at the end), aesthetics in human–computer interaction, and computational aesthetics. Although there appears to be a close link between these three, they refer to inherently different fields of research. Aesthetic computing can be broadly defined as “applying the philosophical area of aesthetics to the field of computing” linked principally to formal languages and design of programs or products (Fishwick, 2013). Driven by design concerns, aesthetics in HCI focuses on the question of how to make computational artifacts more aesthetically pleasing (Norman, 2004). This concern has recently shifted toward aesthetics of interaction, moving the focus from ease of use to enjoyable and emotionally rewarding experience (Ahmed, Mahmud, & Bergaust, 2009). Although this question has significant theoretical and practical implications, there exists another relevant, yet largely unexplored question of whether computational approaches can be useful in understanding aesthetic judgment and affect in the context of HHI and HCI mainly given its highly subjective nature and often highly different “taste” and perception. Computational aesthetics is the research of computational methods that can make applicable aesthetic decisions in a similar way to humans (Hoeing, 2005). In other words, can human aesthetic perception and judgment be quantified computationally, and can we make machines and systems aware of aesthetics similarly to humans?

Social Signal Processing , pp. 183 - 201
Publisher: Cambridge University Press
Print publication year: 2017

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