人工智能应用助力动物辅助疗法与农场动物的定性研究
Alex Sargsyan1, Florence M Weierbach1, Frances Horn2
1College of Nursing, East Tennessee State University, Johnson City, TN, USA.
Western journal of nursing research
|December 29, 2025
概括
人工智能 (AI) 通过处理数据来帮助定性研究,但需要人类监督才能准确解释. 在人工智能辅助分析中,人类洞察力仍然对维持伦理标准和细微理解至关重要.
科学领域:
- 定性研究是一种定性研究.
- 人工智能应用程序 人工智能应用程序
- 人与计算机的交互
背景情况:
- 人工智能在定性研究中越来越多地用于编码和模式识别等任务.
- 人工智能提高了处理大型非结构化数据集的效率.
- 挑战包括AI有限的上下文理解,偏见,道德问题和隐私问题.
研究的目的:
- 探索人工智能辅助工具在定性内容分析中的整合.
- 专注于维护方法论的严谨性和道德标准.
- 确定人工智能如何支持,而不是取代人类洞察力.
主要方法:
- 一个人工智能辅助的主题内容分析被设计为动物辅助治疗干预.
- 使用Insight7人工智能软件进行主题检测和数据安全.
- 人类研究人员和人工智能独立分析了转录以进行比较验证.
主要成果:
- 在人类和人工智能产生的主题之间发现了普遍的共识.
- 由于有限的上下文解释,人工智能偶尔会错误地分类参与者的经验.
- 人类监督对于准确和细微的数据分析至关重要.
结论:
- 人工智能为定性研究提供了宝贵的支持,特别是在大型数据集.
- 人工智能的局限性凸显了人类参与对于解释准确性和道德完整性的必要性.
- 未来的研究应该提高人工智能的上下文敏感性,同时保持人类的解释.
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