We have applied this effect in the field of art appreciation, which is often influenced by sources such as news, mass media and experts. In an academic context, art appreciation overlooks the unconscious dimension of our body, but instead teaches people to analyze art semiotically and linguistically. Current academic standards for art appreciation encourage students to think about the answers instructors might want to hear.
Successful communication necessarily involves the exchange of information, and the aim of this study is primarily to enable communication through affect, using the development of a new art evaluation system. This study was designed to examine the issue of art appreciation in the convergence of scientific method and artistic intuition. The purpose of this study is to develop an online art evaluation system that incorporates affect.
We first developed a flow chart and built the online system for viewers to view the artworks and express their impressions according to what they feel after evaluating the artworks. Through this system, we aim to develop an interconnected communication network among viewers, who will be able to express their emotions and enjoy more artworks by appreciating.
For true communication with art, a drastic change to the existing one-way system is necessary. Cicourel stated that due to White Room Effects, it is difficult to collect and analyze data that reflect the authentic opinions of subjects in. These conditions contrast with those in a natural environment and can be interpreted as similar to the concept of captive research.
We would like to extend the concept of White Room Effects into the real world to develop a new framework for appreciating art. According to Wimsatt and Beardsley (1946), every work of art belongs to the public rather than the critic or artist of its creation. 4 called "influence". Impact is an instantaneous event and is related to the instantaneous detection of an atmosphere (Bae et al., 2019).
Because of affect, a strong force can be transferred to the body and evoke personal feelings or social emotions. In this intensity domain, the image is said to be directly transferred to the recipient's body before it makes sense in the head.
Online Art Appreciation System with Affect
They included metadata such as personal details about the artist, time and place of creation of the artwork, influence on the artist and relationships to other aesthetic images (Isemann et al., 2014). Connections between artist nodes in the graph were established based on the visual similarities between their artworks by sharing some stylistic characteristics (Castellano et al., 2021). According to our analysis of metadata records, artworks in museum archives typically include numbering, artist's name, title of the artwork, year of production, materials and technique, size and collection route in the database (Miller, 2011, Patel et al. , 2005, Lee New communication concept with Affect.
The flow chart of the new art rating system proposed in this paper is illustrated in Figure 1. On the artwork rating page, the user selects the affect that immediately comes to mind after viewing the artwork. Clicking on any artwork will take the viewer to a page illustrating the artwork in more detail.
John decided to view artwork online, so he went to access the website of the new art system. The first page he sees is the main page of the new art system, which lists a number of artworks that have been uploaded to the site. He confirms that seven artworks are currently listed on the website, and clicks on the artwork 'Simultaneous counter compound' that he wants to view first.
He appreciates the artwork on the left side of the page and checks a short list of information on the right side. He chooses an intensity of 4 for 'Imposing' because the artwork was able to express the figures angled with soft oil. With the digitization of art, existing archiving systems utilize general information about works of art, such as numbering, artist name, title of the work of art, year of production, materials and techniques, size and path of collection.
The system in question was specifically designed to allow visitors to proactively respond to artworks and think spontaneously, instead of passively evaluating the artwork with the help of external media. The impressions provided by viewers for this study after viewing the artwork were stimulating, exciting, touching, boring, compelling, and forgettable, expressed on a Likert scale of 1 to 5. By clicking the submit button at the bottom of the page, the information stored in the database.
Utilizing Affect Data in the New Art System
20 Using the system developed in the study, we used influence data voluntarily created by viewers. The analysis focuses on the role and importance of affect data in the appreciation and purchase of works of art. In the case of this study, it estimates the probability of buying an artwork in the first analysis, and the probability of preferring the artwork in the second analysis.
In the field of art, the platform is a place where users who want to buy works of art or access art valuation services can easily get the information they want. 29 preferences are implemented in a previously designed art evaluation system and the communication patterns that can be implemented on the platform are analyzed. Recommender system research and development began in the late 1990s with filtering techniques for personalized services targeting news and web pages.
Support refers to the probability that two events will occur simultaneously as represented in the equation below. In this study, we designed association rules by analyzing the actions of viewers who prioritized an artwork and clicked “like” in the rating system. First, the list of artworks that the user likes is located in the antecedents of the connection rule analysis results table.
The recommendation web page used in the art system is shown in Figure 13, which shows the recommendations for user nero96in. The recommendation process was created using the antecedents and consequences in the correlation analysis results table. First, it was possible to develop a new online art evaluation system by combining scientific and artistic methods to reduce white room effects in viewers.
In Chapter 3, an analysis of the purchase intention of works of art was carried out using the impact data collected in the evaluation system. The enormous significance of this analysis is that correlations were found between the collected. First, it was found that general interest in artworks has no major practical significance in purchase intention.
In Chapter 4, we implemented a recommender system to create an interconnected network between viewers in the platform. Assuming that the artworks preferred by viewers are mutually associated, selected artworks were analyzed in the relationship between antecedents and consequences, and the value of lifting was sorted to derive association rules. These rules are expected to change as more artworks are added to the platform in the future.
In addition, an artwork recommendation system was developed based on preference data, and patterns in artwork preferences generated interconnected communications on the platform.
Interconnected Communication Concept with Recommendation
Moreover, the appreciation and interpretation of art is significantly influenced by outside opinions, which inhibit voluntary appreciation through the phenomenon known as the White House Effect. To address this problem, we developed a new art rating system by applying the convergence methodology between science and art, thus applying artistic intuition to the existing online art rating system. The first hypothesis in this study states that the online art evaluation system developed from the methodological convergence of science and art would help people to spontaneously evaluate their influences.
According to this hypothesis, we believed that the social problem of passive appreciation of art can be alleviated by combining artistic intuition and problem recognition with science and technology to create an analytical system. In Chapter 2, we created a new system for evaluating artwork, which allows viewers to voluntarily express their spontaneous affects through a Likert scale, which enables communication between viewers and the art. The third hypothesis states that the artworks that each user prefers are related to each other.
In addition, it is necessary to discuss how this system will affect the roles of art critics, lecturers and art teachers. In this study, we wanted to explore the diversity of art appreciation, and realize the possibility of appreciation through immediate sensory experiences and affects. In an academic context, the diversity of art appreciation should be taught to students through various activities by art teachers.
These traditional teaching methods emphasize the search for meaning, implications and symbolism, which can cause fatigue and make it difficult for viewers to continually appreciate a work of art. In the future, school activities should ensure that students can appreciate different images with sensory experiences, allowing for more spontaneous appreciation. While it is also important to recognize and appreciate the artist's intentions, Wimsatt and Beardsley argued that works of art produce countless subjective meanings and experiences when made accessible to the public.
Although there are many different types of affect, this study considers only six of them in the context of art appreciation with abstract paintings. For future analyses, it is expected that a more organized model will be designed by supplementing the unidentified independent variables that may influence art purchases and preferences by securing various data in the system. Ecological validity and 'white room effects': The interaction of cognitive and cultural models in the pragmatic analysis of elicited narratives from children.