Exploring the Feasibility of AI's Auxiliary Functions in the Field of Children's Painting

Abstract

This paper aims to explore the feasibility of AI in the field of children’s painting education and to design AI-assisted applications to guide children’s painting. The group selected Liu Yichen, the younger brother of the group member Swan, as the research subject, and selected six of his paintings. Through interviews, we learned about his creative intentions and the details that he failed to complete due to his own limitations. Then, through AI technology, we would conduct image processing experiments on the six selected paintings (some are dominated by keywords, some are not). Finally, we would feed back the generated works to Liu Yichen, and found out through interviews whether these works meet his expectations and whether they can stimulate him to further creation. At the same time, Liu Yichen’s relatives, friends, and strangers will evaluate Liu Yichen’s original works and AI works through questionnaires to test the feasibility of applying AI painting to children’s painting. The results obtained from the interview of the experimental subject Liu and the questionnaire of friends, relatives and strangers showed positive results. However, 12 per cent of the strangers showed extremely negative attitudes in the questionnaire. Therefore, the study concluded that the integration of AI into early art education is highly feasible in today’s market. However, in the face of the arrival of AI, we still need to leave a buffer period for human society, so as to realize the symbiosis between human and technology in a more peaceful way.