MODEL DEVELOMPENT TO PREDICT PERCEIVED DEGREE OF NATURALNESS

Agnieszka Bialek, Alistair B. Forbes, Teresa Goodman, Ruth Montgomery, Martin Rides, Gerie van der Heijden, Hilko van der Heijden, Gerrit Polder, Krista Overvliet

Abstract

This paper presents the development of a mathematical model to predict the perception of naturalness for a range of materials, based on an understanding of the relationship between the physical attributes of the material and the human sensory inputs. The work is being carried out under an European Union project called 'Measurement of Naturalness' (MONAT), which focuses on understanding the relationships between the physical properties of natural and synthetic materials and the visual and tactile sensory processes that lead to perceptual judgments of naturalness. Integral to the project is the development of novel measurement facilities with dynamic ranges and sensitivities that are relevant for the human sensory systems. The input data to the model are derived from psychophysical and physical studies on pre-selected wood, textile and stone samples.

Keywords

regression, sensory metrology, perception

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IMEKO-WC-2009-TC18-395.pdf

DOI

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IMEKO TC

TC18 - Measurement of Human Functions

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