Quantifying patterns of dynamics in eye movement to measure goodness in organization of design elements in interior architecture

Hasti Mirkia; Arash Sangari; Mark Nelson; Amir H. Assadi

doi:10.1117/12.2008580

14 March 2013 Quantifying patterns of dynamics in eye movement to measure goodness in organization of design elements in interior architecture

Hasti Mirkia, Arash Sangari, Mark Nelson, Amir H. Assadi

Author Affiliations +

Proceedings Volume 8651, Human Vision and Electronic Imaging XVIII; 86511D (2013) https://doi.org/10.1117/12.2008580
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

Architecture brings together diverse elements to enhance the observer’s measure of esthetics and the convenience of functionality. Architects often conceptualize synthesis of design elements to invoke the observer’s sense of harmony and positive affect. How does an observer’s brain respond to harmony of design in interior spaces? One implicit consideration by architects is the role of guided visual attention by observers while navigating indoors. Prior visual experience of natural scenes provides the perceptual basis for Gestalt of design elements. In contrast, Gestalt of organization in design varies according to the architect’s decision. We outline a quantitative theory to measure the success in utilizing the observer’s psychological factors to achieve the desired positive affect. We outline a unified framework for perception of geometry and motion in interior spaces, which integrates affective and cognitive aspects of human vision in the context of anthropocentric interior design. The affective criteria are derived from contemporary theories of interior design. Our contribution is to demonstrate that the neural computations in an observer’s eye movement could be used to elucidate harmony in perception of form, space and motion, thus a measure of goodness of interior design. Through mathematical modeling, we argue the plausibility of the relevant hypotheses.

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Hasti Mirkia, Arash Sangari, Mark Nelson, and Amir H. Assadi "Quantifying patterns of dynamics in eye movement to measure goodness in organization of design elements in interior architecture ", Proc. SPIE 8651, Human Vision and Electronic Imaging XVIII, 86511D (14 March 2013); https://doi.org/10.1117/12.2008580

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KEYWORDS

Eye

Visualization

Eye models

Calibration

Data modeling

Neural networks

Iris recognition

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