声音,脆弱性和表达性增长:在语音艺术教育中调查AI焦虑和绩效评估
1School of Communication, Fujian Normal University, Fuzhou, China.
Frontiers in psychology
|December 1, 2025
概括
人工智能语音技术引起了声学学生的焦虑,影响了他们的自我认知和绩效评估. 培训应整合人工智能素养和心理技能,以支持艺术认同.
科学领域:
- 心理学 心理学 心理学
- 音乐表演 音乐表演
- 人工智能的人工智能
背景情况:
- 人工智能语音技术的快速发展为声乐表演学生带来了独特的挑战.
- 由于人工智能,学生们对自己的艺术身份和未来的职业生涯感到焦虑.
- 了解人工智能对艺术表达的心理影响对于有效的培训至关重要.
研究的目的:
- 调查人工智能相关焦虑 (AIA) 对声乐学生自我感知的艺术表现能力 (SAE) 和外部评估的表现 (TAE) 的影响.
- 在声乐表演培训的背景下,探索AIA,SAE和TAE之间的关系.
- 确定与人工智能对创意机构和艺术身份的影响相关的心理主题.
主要方法:
- 这是一项混合方法研究,涉及中国三所大学的414名声乐表演学生和414名独立评分员.
- 使用修订的表达力量表和结构方程建模进行定量分析.
- 整合了定性分析,以确定新的心理主题.
主要成果:
- 与人工智能相关的高度焦虑 (AIA) 与学生低估自己的表达能力相关,即使有有利的外部评分.
- AIA对外部评估的表现力进行了负面预测;自我评估仅显示了微弱的积极效应.
- 定性数据揭示了情感疏远和重新发现创意机构的主题.
结论:
- 与人工智能相关的焦虑 (AIA) 显著影响声乐学生的自我认知和外部绩效评估.
- 将心理技能和人工智能素养整合到声乐表演课程中是至关重要的.
- 培训计划必须帮助学生在AI的进步中保持自己的艺术身份.
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