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International Journal of Arts and Technology (5 papers in press)
Learning of Art Style Using AI and Its Evaluation Based on Psychological Experiments by Cong Hung Mai, Ryohei Nakatsu, Naoko Tosa, Takashi Kusumi Abstract: Generative adversarial networks (GANs) are AI technology that can achieve transformation between two image sets. Using GANs, the authors carried out a comparison among several artwork sets with four art styles; Western figurative painting set, Western abstract painting set, Chinese figurative painting set, and abstract image set created by one of the authors. The transformation from a flower photo set to each of these image sets was carried out using GAN, and four image sets, for which their original artworks and art genres were anonymised, were obtained. A psychological experiment was conducted by asking subjects to fill in questionnaires. By analysing the results, the authors found that abstract paintings and figurative paintings are judged to be different and also figurative paintings in the West and East were thought to be similar. These results show that AI can work as an analysis tool to investigate differences among artworks and art genres. Keywords: generative adversarial networks; GANs; art genre; art history; style transfer; figurative art; abstract art. DOI: 10.1504/IJART.2022.10045168
Color Averaging Techniques and Trends Explored Through Artwork by Alina Gorbunova, Eric Rosenberg, Angelina Cheng Abstract: We analyze color trends and recognizability in artwork through different averaging techniques. The averaging techniques divide the image in different ways, such as dividing it into a grid, columns, or rows, and take the mean color of those sections. Since art is such a vast term, several categories of art are compared: impressionist versus cubist, monochromatic paintings versus polychromatic paintings, and landscapes versus portraits versus still lifes. Our research identifies which color averaging technique makes a certain type of artwork the most recognizable, and uses standard deviation to automatically chose an averaging technique. Keywords: color averaging techniques; color averaging trends; standard deviation; monochromatic; polychromatic; artwork; recognizability. DOI: 10.1504/IJART.2022.10045449
Automated Indonesian Traditional Musical Instrument Angklung Player Based on Raspberry Pi by Marcel Saputra, Christian Lokonanta, Rudy Susanto, Savita Sondhi, Rinda Hedwig Abstract: Angklung is a traditional musical instrument from Indonesia made of bamboo tubes which have different length to produce different tunes. Nowadays, it is losing its popularity as only few young generations are interested in playing this instrument. To get their attention, an electronically controlled angklung is created by setting a three-octave angklung to an automated player consisting of DC motors controlled by Raspberry Pi. This system can download songs from the online cloud and can be played either manually or automatically. User can write songs directly into the system, which can play more than 50 songs automatically and continuously for eight hours. The accuracy of the whole system is 99.8% to 100% and it can download 100 songs from the cloud within 201.9 ms or 11.2 ms from the local storage. In future, this instrument will be integrated with other traditional music instruments to form an automated traditional musical orchestra. Keywords: angklung; Raspberry Pi; automated; music; instrument. DOI: 10.1504/IJART.2022.10046587
Examination of Educational Situations Related to Augmented Reality in Art Education by Fatma Miralay Abstract: Augmented reality applications, which have gained popularity in recent years, help to benefit students in the field of education to actualise their potential. As technology changes on a daily basis, it becomes a necessity to ensure that art education keeps up-to-date against these challenges. This research aimed at using the Keywords: art education; Aurasma; augmented reality; educational programs; Northern Cyprus. DOI: 10.1504/IJART.2022.10047677
THE CULTURAL ATTITUDES IN ADVERTISING DESIGNS IN NIGERIA by Razaq Olatunde Rom Kalilu, Adesola Olutoyin Alimi Abstract: Against the backgrounds of increasing westernisation of Nigerias advertising space and scholastic reticence on it, this paper examined cultural attitudes in product advertising designs in Nigeria and the target-audiences perception. The study aimed at building culturally-compliant advertisements for better performance of the advertisements. Billboard advertising designs and respondents were selected from the six geo-political zones of Nigeria through stratified and purposive sampling. Thematic and iconographic analyses of the designs were complemented with quantitative data processed using Likert scale. Findings indicate that locally derived icons that can be culturally persuasive to enhance products choices were scanty in the designs in some zones while designs in some other zones did not have them represented at all. It is therefore recommended that graphic designers create more culturally inspired designs that can be easily interpreted by the targets-audience in order not to atrophy the Nigerian culture. Keywords: advertising; advertising design; product advertising; advertising design in Nigeria; Nigerian cultures. DOI: 10.1504/IJART.2022.10047841