In this study, our aim is to clarify the color combination rules of the human‐preferred Papilionidae butterflies as aesthetic objects. A set of 118 butterfly images, including color polyphenism from the 47 Papilionidae species that are generally preferred by humans, was selected. These images were classified using hierarchical cluster analysis based on similarities of lightness, chroma, and hue attributes in CIELAB space, determined using histogram intersection. Then, the color distributions and combinations in each cluster were analyzed using a Gaussian mixture model and the color combination types defined in the present study. Accordingly, we obtained the following main color combination rules of human‐preferred Papilionidae: (a) dominant low lightness and contrasting lightness components, (b) dominant low chroma and similar chroma components, and (c) dominant orange to yellow‐green hue and similar hue components. These rules partly agree with the robust harmony principles found in previous research. We infer that the cognitive effects concerning the processing fluency through these color combination rules influence human aesthetic responses.
In this study, we clarified the holistic color combination rules of human-preferred Papilionidae butterflies by examining the hue, lightness, and chroma. A set of 118 Papilionidae butterfly images used in our previous study was analyzed. These images were classified via hierarchical density-based spatial clustering based on perceptual similarities of colors that were obtained from a subjective image classification experiment. The color combinations of the clustered images were determined based on representative colors that were analyzed by a Gaussian mixture model with minimum message length and the color combination types defined in our previous study. Consequently, we obtained the following holistic color combination rules for Papilionidae : 1) contrasting lightness, similar chroma, and similar hue, 2) contrasting lightness, contrasting chroma, and similar hue, 3) similar lightness, similar chroma, and complementary hue, and 4) similar lightness, similar chroma, and similar hue. These rules suggest that minority color harmony theories are valid under particular conditions.
Abstract:In this study, we aimed to clarify comfortable lighting locations (on both the wall and ceiling) for office work. To this end, we measured brain activity using fNIRS during arithmetic and copying tasks for various lighting locations in a simulated office space, and had participants provide subjective evaluations of these lighting conditions. There were four main results: (1) for the subjective evaluations, we observed no differences in impressions according to lighting condition. (2) The cerebral blood flow in the "wall" condition was significantly lower than that during the "ceiling" condition. (3) Changes in oxy-HB concentrations were found to differ according to condition even when task performance was the same. (4) For cognitively demanding tasks, the walls-only lighting condition seems to be the most comfortable environment. Conversely, for tasks requiring little concentration, the environment seemed most comfortable by having the lighting on the walls be brighter than that on the ceiling.
:We aimed to reveal typical-color effects to visual search for pictogram. We assumed that the typical colors shorten the response time of the visual search compared to the non-typical colors in the high color-associativity pictograms. In order to verify this hypothesis, we investigated typical colors and color-associativity of each pictogram in the first experiment and measured the response time of the visual search tasks. We analyzed the data through the color-associativity and the complexity of components perspective. As a result, we obtained the two conclusions as follow; 1) typical colors do not always affect response times, 2) response time is shortened in the typical colors pictograms that have the high color-associativity and consist of only one component. These results contribute to proposing the color design which permits efficiency in searching for pictograms in the facilities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.