Likeness, Familiarity, and the Ambient Portrait Average

Author:

Hayes Susan1ORCID,Caputi Peter2,Zaracostas T. S.3,Henderson Maggie3,Telenta Julie3,McCombe Elspeth3,Christopher Kim3,Calvert Emma3,Abbati Donna3,Smith Odette3,Medwell Emma3,Wilcock Joyce3

Affiliation:

1. Centre for Archaeological Science, School of Atmospheric, Earth and Environmental Sciences, Faculty of Science Medicine and Health, University of Wollongong Australia, Wollongong, Australia; Red Point Artists Association, Port Kembla, Australia

2. School of Psychology, Faculty of Social Sciences, University of Wollongong Australia, Wollongong, Australia

3. Red Point Artists Association, Port Kembla, Australia

Abstract

This artist-led research project involved 10 visual artists producing 10 ambient portraits and a portrait average of a locally familiar Sitter, and 10 ambient portraits and a portrait average of a less locally familiar Sitter. All were then assessed for likeness by more than 150 members of the general public attending an exhibition during Australia’s 2018 National Science Week. The results of this study are that portrait averages can be highly shape accurate and tend to be seen as a good likeness by all viewers. However, the portrait average is not necessarily the best likeness. Extending and validating our previous findings regarding the relationship of likeness, familiarity, and shape accuracy (as measured using geometric morphometrics) in portraiture, unfamiliar viewers favouring shape accurate depictions of a Sitter attained statistical significance. Familiar viewers, however, although also tending to view shape accurate depictions a good to very good likeness, were shown to have a stronger preference for portraits that exaggerate a Sitter’s facial distinctiveness, including an exaggeration of their head pose, providing such exaggerations are in approximate proportional agreement.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Sensory Systems,Experimental and Cognitive Psychology,Ophthalmology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysing Texture in Portraits;Perception;2020-12

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