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Creative and Progressive Interior Color Design with Eye-tracked User Preference

Creative and Progressive Interior Color Design with Eye-tracked User Preference Interior scene colorization is vastly demanded in areas such as personalized architecture design. Existing works either require manual efforts to colorize individual objects or conform to fixed color patterns automatically learned from prior knowledge, whilst neglecting user preference. Quantitatively identifying user preferences is challenging, particularly at the early stage of the design process. The 3D setup also presents new challenges as the inhabitant can observe from any possible viewpoint. We propose a representative view selection method based on visual attention and a progressive preference inference model. We particularly focus on the progressive integration of eye-tracked user preference, which enables the assistance in creativity support and allows the possibility of convergent thinking. A series of user studies have been conducted to validate the effectiveness of the proposed view selection method, preference inference model and the creativity support mechanism. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computer-Human Interaction (TOCHI) Association for Computing Machinery

Creative and Progressive Interior Color Design with Eye-tracked User Preference

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References (84)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2023 Association for Computing Machinery.
ISSN
1073-0516
eISSN
1557-7325
DOI
10.1145/3542922
Publisher site
See Article on Publisher Site

Abstract

Interior scene colorization is vastly demanded in areas such as personalized architecture design. Existing works either require manual efforts to colorize individual objects or conform to fixed color patterns automatically learned from prior knowledge, whilst neglecting user preference. Quantitatively identifying user preferences is challenging, particularly at the early stage of the design process. The 3D setup also presents new challenges as the inhabitant can observe from any possible viewpoint. We propose a representative view selection method based on visual attention and a progressive preference inference model. We particularly focus on the progressive integration of eye-tracked user preference, which enables the assistance in creativity support and allows the possibility of convergent thinking. A series of user studies have been conducted to validate the effectiveness of the proposed view selection method, preference inference model and the creativity support mechanism.

Journal

ACM Transactions on Computer-Human Interaction (TOCHI)Association for Computing Machinery

Published: Mar 7, 2023

Keywords: Interior color design

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