Exploring the Impact of Artificial Intelligence on the Creativity Perception of Music Practitioners

被引:0
作者
Ma, Haixia [1 ]
Zhang, Yan [2 ]
Shan, Xin [2 ]
Hu, Xiaoxi [3 ]
机构
[1] Kookmin Univ, Coll Music, Seoul 02707, South Korea
[2] Sangmyung Univ, Grad Sch Arts & Culture, Seoul 03016, South Korea
[3] Beijing Jiaotong Univ, State Key Lab Adv Rail Autonomous Operat, Beijing 100044, Peoples R China
关键词
artificial intelligence; music composition; empirical analysis; music practitioners; TECHNOLOGY;
D O I
10.3390/jintelligence13040047
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This study investigates the relationship between artificial intelligence (AI) tools and the creative abilities of music practitioners within the context of globalization and technological advancements that are transforming creative industries. Through a quantitative analysis, the study assesses how AI tool usage influences creative output. By surveying music practitioners from diverse backgrounds, it captures their experiences and perceptions of AI technologies in music creation. Grounded in cognitive science and diffusion of innovation theories, the research also empirically examines the relationship between AI technology acceptance and creativity perception, while considering the role of socioeconomic factors. Regression analysis was used to explore the relationships between key variables, ensuring robust and reliable results. The results suggest that AI technology acceptance is significantly correlated with creative performance, particularly among individuals with formal music education and experience using music composition software. However, socioeconomic factors such as age, gender, and professional background also influence how extensively AI is utilized in the creative process. These findings provide new insights into AI's role in creative industries and offer data to inform music education and technology training policies.
引用
收藏
页数:15
相关论文
共 30 条
  • [1] Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence
    Almaraz-Lopez, Cristina
    Almaraz-Menendez, Fernando
    Lopez-Esteban, Carmen
    [J]. EDUCATION SCIENCES, 2023, 13 (06):
  • [2] Artificial intelligence in the creative industries: a review
    Anantrasirichai, Nantheera
    Bull, David
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2022, 55 (01) : 589 - 656
  • [3] Assis Hornay P.M., 2021, ACCENTIA: Journal of English Language and Education, V1, P43, DOI DOI 10.37598/ACCENTIA.V1I1.1015
  • [4] Gender, Creativity and Education in Digital Musics and Sound Art INTRODUCTION
    Born, Georgina
    Devine, Kyle
    [J]. CONTEMPORARY MUSIC REVIEW, 2016, 35 (01) : 1 - 20
  • [5] Budagyan Regina R., 2020, Observatory of Culture, V17, P368, DOI [10.25281/2072-3156-2020-17-4-368-378, DOI 10.25281/2072-3156-2020-17-4-368-378]
  • [6] The assessment of presence and performance in an AR environment for motor imitation learning: A case-study on violinists
    Campo, Adriaan
    Michalko, Aleksandra
    Van Kerrebroeck, Bavo
    Stajic, Boris
    Pokric, Maja
    Leman, Marc
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2023, 146
  • [7] Chang PJ, 2021, OPHTHALMOLOGY, V128, P1655, DOI 10.1016/j.ophtha.2021.03.029
  • [8] Aging and Information Technology Use: Potential and Barriers
    Charness, Neil
    Boot, Walter R.
    [J]. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE, 2009, 18 (05) : 253 - 258
  • [9] Extending Cognitive Load Theory to Incorporate Working Memory Resource Depletion: Evidence from the Spacing Effect
    Chen, Ouhao
    Castro-Alonso, Juan C.
    Paas, Fred
    Sweller, John
    [J]. EDUCATIONAL PSYCHOLOGY REVIEW, 2018, 30 (02) : 483 - 501
  • [10] Expert views about missing AI narratives: is there an AI story crisis?
    Chubb, Jennifer
    Reed, Darren
    Cowling, Peter
    [J]. AI & SOCIETY, 2024, 39 (03) : 1107 - 1126