Aesthetic Evaluation of Interior Design Based on Visual Features

In the modern context, interior design has inevitably become a part of social culture. All kinds of modeling, decoration and furnishings in modern interior space show people's pursuit and desire for a better life. These different styles of modern interior design rely on science and technology, utilize culture and art as the connotation. Its development often reflects the cultural spirit of a nation. The aesthetic evaluation plays an important role in the modern interior design. With development of derivative digital devices, a large number of digital images have been emerged. The rapid development of computer vision and artificial intelligence makes aesthetic evaluation for interior design become automatic. This paper implements an intelligent aesthetic evaluation of interior design framework to help people choose the appropriate and effective interior design from collected images or mobile digital devices.

What is a Beautiful Experiment?

This article starts an engagement on the aesthetics of experiments and offers an account for analysing how aesthetics features in the design, evaluation and reception of experiments. I identify two dimensions of aesthetic evaluation of experiments: design and significance. When it comes to design, a number of qualities, such as simplicity, economy and aptness, are analysed and illustrated with the famous Meselson-Stahl experiment. Beautiful experiments are also regarded to make significant discoveries, but I argue against a narrow construal of experimental aims. By drawing on the plurality of goals experimenters have and diversity of aesthetic responses, I argue that experiments are aesthetically appreciated both when they discover and when they produce disruptive results.

The Influence of the Gender Asterisk (“Gendersternchen”) on Comprehensibility and Interest

Recently, the gender asterisk (“Gendersternchen”) has become more widespread in grammatical gender languages in order to represent all genders. Such gender-fair language is intended to help better address women and other genders and make their interests and achievements more visible. Critics often argue this would make the language less comprehensible and less aesthetically appealing. Two experiments examined the effects of the gender asterisk on text comprehensibility, aesthetic perception, and interest. N = 159 and N = 127 participants were randomly provided with a text in either masculine-only form or alternatively in gender-fair language with the gender asterisk. The results of the first experiment showed no impairment of comprehensibility and aesthetic evaluation of the texts by the gender asterisk and no effect on interest in the game, while the second experiment showed significant impairments of comprehensibility, aesthetic evaluation, and interest in the game by the gender asterisk. The proportion of singular forms is discussed as a possible explanation for the different results. Experiment 1 predominantly used plural forms like die Spieler*innen (∼“the fe*male players”) and did not include forms such as der*die Spieler*in (∼“the*the fe*male player”), whereas Experiment 2 included many such more complex singular forms. We argue that this issue might be crucial, and that it deserves full attention in future studies.

Application of Partial Differential Equation Image Classification Methods to the Aesthetic Evaluation of Images

The average accuracy of the fusion of color harmony and composition features is 75.17%, which is higher than that of a single feature. The classification accuracy of NP-DP-DCNN structure is about 1% higher than that of other methods and 1.77% higher than that of NP-DCNN. Traditional image aesthetic evaluation methods are only effective for specific image sets or specific style images and are not suitable for all types of images. Based on the introduction of the partial differential equation image filtering method, through the parallel supervised learning of aesthetic attribute labels, this paper extracts the global aesthetic depth features, adopts the partial differential equation to evolve the contour C constant, and constructs a convolution neural network. The structure of a convolution kernel learned by using parallel network structure achieves better classification performance. Through the aesthetic evaluation experiment, the overall test accuracy is improved by 0.58% and the average accuracy of the integration of color harmony and composition features is 75.17%, which is higher than that of a single feature. The classification accuracy of NP-DP-DCNN structure is about 1% higher than that of other methods and 1.83% higher than that of NP-DCNN. It has achieved better test accuracy than before in the seven subcategories with discrimination between high aesthetic and low aesthetic images. It has achieved better classification performance than the traditional feature extraction methods in the public dataset CUHK database, and it has excellent aesthetic reference value.

Gaze correlates of view preference: Comparing natural and urban scenes

When looking out of a window, natural views are usually associated with restorative qualities and are given a higher preference than urban scenes. Previous research has shown that gaze behaviour might differ based on the natural or urban content of views. A lower number of fixations has been associated with the aesthetic evaluation of natural scenes while, when looking at an urban environment, a high preference has been correlated with more exploratory gaze behaviours. To characterise gaze correlates of view preference across natural and urban scenes, we collected and analysed experimental data featuring subjective preference ratings, eye-tracking measures, verbal reasoning associated with preference and nature relatedness scores. Consistent with the literature, our results confirm that natural scenes are more preferred than urban views and that gaze behaviours depend on view type and preference. Observing natural scenes was characterised by lower numbers of fixations and saccades, and longer fixation durations, compared to urban views. However, for both view types, most preferred scenes led to more fixations and saccades. Our findings also showed that nature relatedness may be correlated with visual exploration of scenes. Individual preferences and personality attributes, therefore, should be accounted for in studies on view preference and gaze behaviour.

Research on Modern Book Packaging Design under Aesthetic Evaluation Based on Deep Learning Model

The development of information technology has led to the rapid development of modern book packaging design. Book packaging design is different from painting. It is a kind of design process that combines artistry and practicality and has double characteristics. With the continuous progress of society, people’s requirements for book packaging design have become higher and higher, and modern book packaging design has become an important topic in the field of art design. To this end, this paper introduces the machine learning algorithms used in this paper, including the AdaBoost algorithm and the SVR algorithm. Specifically, it includes the principles and specific implementation steps for AdaBoost classification algorithm and SVR regression algorithm, as well as evaluation indexes of AdaBoost classification and SVR regression analysis. Realization of physical books reflects artistry, creativity, professionalism, popularity, and vitality of books in the packaging and design of books in the electronic information era. The stimulation effect of this paper starts from packaging design, inspection mechanism, and brand psychology to get the superior design in modern book packaging design.

Aesthetic evaluation of lip position with respect to profile divergence: A silhouette based study.

Objective: To determine the mean attractiveness and score of lip position that is rated by orthodontists and lay persons in different levels of profile divergence as seen in silhouette images. Study Design: Cross-sectional survey. Setting: Punjab Dental Hospital/de’Montmorency College of Dentistry, Lahore. Period: January 2020 to July 2020. Material & Methods: Lay people were selected from the hospital and orthodontic postgraduate trainees were selected from the college. An ideal profile image was constructed and converted to silhouette. By changing position of subnasale and soft tissue pogonion horizontally in relation to true vertical line, divergence of profile was changed and 3 forms of straight/normal profile were created. Three sets of profiles were created (1 anterior divergent, 2 straight divergent, 3 posterior divergent) and each set consisted of 5 images with different degrees of lip protrusion. Results: There were 50% of both genders in orthodontists and 48% males and 52% females in lay person with mean ages 28.74±2.55 and 34.66±7.30 years respectively were part of the study. There was significant difference found between orthodontists and lay person for anterior divergent profile with normal position (4.54±0.61 and 4.68±0.47 with P<0.05). Conclusion: The normal lip position is viewed as the most ideal position; however the same does not have any significant bearing to the straight divergent profile, in which the assessments of various groups were uncertain.