The ongoing marketisation of education is a great loss for visual arts education since explorative learning processes are marginalised in favour of more goal-oriented learning. The empirical material analysed in this research derives from the visual...
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applie...
Museums are important educational platforms in informal learning environments, offering essential off-campus venues for university-level aesthetic education. Over half of students’ independent off-campus art appreciation activities occur in mus...
With the development of the information age, the layout image is no longer a simple combination of text and graphics, but covers the complex layout image obtained from text, graphics, images and other layout elements through the process of artistic d...
With the development of social networks and intelligent terminals, it is becoming more convenient to share and acquire images. The massive growth of the number of social images makes people have higher demands for automatic image processing, especial...
Currently, a substantial portion of images snapped at exhibitions and galleries on social media demonstrates that aesthetic experience is not restricted to the confines of cultural institutions. The primary objective of this paper is to examine wheth...
Background/Objectives: The use of virtual reality (VR) solutions in design has rapidly increased globally. However, it remains unclear to what extent these technologies enhance people’s cognitive abilities. Understanding the impact of such tech...
The article deals with the development peculiarities of the subject artistic competence of future preschool teachers in the field of artistic and aesthetic education of children by means of contextual educational technologies. The students in questio...
There is a growing appetite for the inclusion of outcomes of empirical research into philosophical aesthetics. At the same time, evolutionary aesthetics remains in the margins with little mutual discussion with the various strands of philosophical ae...
This research explored the occurrence of aha-experiences in young children during participatory creative processes within STEAM learning. The study aimed to provide a comprehensive understanding of the specific conditions that contribute to the emerg...
Inspired by human dancers who can evaluate the aesthetics of their own dance poses through mirror observation, this paper presents a corresponding mechanism for robots to improve their cognitive and autonomous abilities. Essentially, the proposed mec...
Deep data-driven methodologies have significantly enhanced the automatic facial beauty prediction (FBP), particularly convolutional neural networks (CNNs). However, despite its wide utilization in classification-based applications, the adoption of CN...
Although the concept of image quality has been a subject of study for the image processing community for more than forty years (where, with the term “quality”, we are referring to the accuracy with which an image processing system capture...
The main aim of breast cancer conservative treatment is the optimisation of the aesthetic outcome and, implicitly, women’s quality of life, without jeopardising local cancer control and overall survival. Moreover, there has been an effort to tr...
Image aesthetic quality assessment (IAQA) has aroused considerable interest in recent years and is widely used in various applications, such as image retrieval, album management, chat robot and social media. However, existing methods need an excessiv...
As higher education undergoes rapid transformation driven by Artificial Intelligence (AI), the integration of Generative AI (GenAI) has become essential for preparing future-ready creative professionals. In this context, design education plays a lead...
In this paper I am going to be dealing with Gregory Bateson, a theorist who is one of the founders of cybernetics, an acknowledged precursor of Biosemiotics, and in all respects highly transdisciplinary. Until his entry into cybernetics Bateson was a...
The main goal of this paper is to study Image Aesthetic Assessment (IAA) indicating images as high or low aesthetic. The main contributions concern three points. Firstly, following the idea that photos in different categories (human, flower, animal,...
On Instagram, we have all seen memes. Honestly, what would you do if you encountered a meme in a museum? The purpose of the study is to evaluate the nexus between posts uploaded by museum visitors and emotions, as well as the popularity of artworks a...
Constructing visually appealing public spaces has become an important issue in contemporary urban renewal and design. Existing studies mostly focus on single dimensions (e.g., vegetation ratio), lacking a large-scale integrated analysis of urban colo...
People aspiring to enhance their photography skills face multiple challenges, such as finding subjects and understanding camera-specific parameters. To address this, we present the VR Photo Training System. This system allows users to practice photog...
Image aesthetic assessment (IAA) with neural attention has made significant progress due to its effectiveness in object recognition. Current studies have shown that the features learned by convolutional neural networks (CNN) at different learning sta...
This article explores the emotional transformations of teachers since the pandemic, shifting from idealised passion for their profession to a more balanced, self-preserving approach to their work and mental well-being. Through four case studies of te...
In this paper, we identify the socio-economic attributes and attitudes that have influenced house owners in renovating their homes in the past. Our study is based on responses to an online questionnaire survey of 971 house owners living in Kronoberg...
Social media is the most popular canvas to engage with art. In this study, we provide a different angle, on how an artistic installation on a world-renowned monument—such as Paris’ Arc de Triomphe—can emotionally affect viewers and...
Training data for user behavior models that predict subjective dimensions of visual perception are often too scarce for deep learning methods to be applicable. With the typical datasets in HCI limited to thousands or even hundreds of records, feature...
Parametric form findings of free-form space structures and qualitative assessment of their aesthetics are among the concerns of architects. This study aims to evaluate the aesthetic aspect of these structures using ML algorithms based on the expert&r...
Prevailing studies on romantic relationships often emphasize facial symmetry as a factor in partner selection and marital satisfaction. This study aims to explore the inverse of this hypothesis—the relationship between facial dissimilarity and...
Automatic aesthetic quality assessment is a computer vision problem in which we quantify the attractiveness or the appealingness of a photograph. This is especially useful in social networks, where the amount of images generated each day requires aut...
Traditional teaching modes are engaged with teachers delivering knowledge to students with minimum feedback. Teaching is conducted in lecture theaters and classrooms, which are sometimes designed with minimum flexibility for university education. How...
In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs)...
Imitation of human behaviors is one of the effective ways to develop artificial intelligence. Human dancers, standing in front of a mirror, always achieve autonomous aesthetics evaluation on their own dance motions, which are observed from the mirror...
Various methods for evaluating the visual quality of landscapes have been continuously studied. In the era of the rapid development of big data, methods to obtain evaluation data efficiently and accurately have received attention. However, few studie...
In this wide‐ranging essay, the leader of Google’s Seattle AI group and founder of the Artists and Machine Intelligence program discusses the long‐standing and complex relationship between art and technology. The transformation of artistic practice a...
Background: Nowadays, digital dentistry is a fundamental skill that dentists need to acquire at this time. The digital workflow has gained acceptance and is widely used in most disciplines of dentistry. For this reason, it might be advisable to inclu...
With the increasing growth of multimedia data on the Internet, multimodal image aesthetic assessment has attracted a great deal of attention in the image processing community. However, traditional multimodal methods often have the following two probl...
Global photographic aesthetic image generation aims to ensure that images generated by generative adversarial networks (GANs) contain semantic information and have global aesthetic feelings. Existing image aesthetic generation algorithms are still in...
Due to the subjective nature of people’s aesthetic experiences with respect to images, personalized image aesthetics assessment (PIAA), which can simulate the aesthetic experiences of individual users to estimate images, has received extensive...
The significance of aesthetic education is increasingly acknowledged for its role in enhancing students’ motivation for creativity, aesthetic sensibility, critical thinking, and imagination. This enhancement enriches the practice of art educati...
In this paper, we propose a framework that constructs two types of image aesthetic assessment (IAA) models with different CNN architectures and improves the performance of image aesthetic score (AS) prediction by the ensemble. Moreover, the attention...
In recent years, ecological building of bridges has gradually begun to appear in cities, and this trend is conducive to the sustainable development of urban bridges and an ecological environment, promoting the development of emerging industries aroun...
Image aesthetics processing (IAP) is used primarily to enhance the aesthetic quality of images. However, IAP faces several issues, including its failure to analyze the influence of visual scene information and the difficulty of deploying IAP capabili...
Since the promulgation of the first school education regulations in the early 20th century, Chinese school aesthetic education has gone through its first century of history. Six stages of development have been formed in this century of vicissitudes,...
Data are an important part of machine learning. In recent years, it has become increasingly common for researchers to study artificial intelligence-aided design, and rich design materials are needed to provide data support for related work. Existing...
Background: Symmetry is a special kind of balance. This study aims to systematically explore and apply the role of balanced composition in aesthetic judgments by focusing on balanced composition features and employing research methods from computatio...
To establish an optimal model for photo aesthetic assessment, in this paper, an internal metric called the disentanglement-measure (D-measure) is introduced, which reflects the disentanglement degree of the final layer FC (full connection) nodes of c...
Representation of self-face is vulnerable to cognitive bias, and consequently, people often possess a distorted image of self-face. The present study sought to investigate the neural mechanism underlying distortion of self-face representation by meas...
Image aesthetic assessment (IAA) is crucial for both scientific research and practical applications, and numerous studies have achieved promising performance. However, they still exhibit two major limitations: the neglect of hierarchical interactions...
In the era of pronounced educational reforms and a strong focus on sustainable development, the role of aesthetic education in augmenting educational quality has become pivotal. This study utilizes the CiteSpace knowledge mapping tool for an in-depth...
Many disciplines—from science to art and education—engage with the postdigital concept, where human activities transform into digital activities. The post-COVID-19 era has involved new consequences for societies, where education has incre...
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