定性研究中的在线调查:人工智能可以作为探测工具吗?
Ryan Thomas Williams1, Ewan Ingleby2
1Teesside University International Business School, TU Online, Teesside University, Middlesbrough, United Kingdom.
Frontiers in research metrics and analytics
|September 22, 2025
概括
由人工智能 (AI) 增强的定性调查提供了更深入的社会科学见解. 人工智能改善了数据收集和参与,解决了传统方法的局限性,以获得更丰富,更广泛的研究结果.
科学领域:
- 社会科学 社会科学 社会科学
- 人与计算机的交互
- 调查方法 调查方法
背景情况:
- 调查传统上使用量化方法,但显示出潜在的定性见解.
- 开放式调查问题面临诸如受访者疲劳和低质量的数据等挑战.
- 人工智能 (AI) 正在成为提高质量调查设计和数据收集的工具.
研究的目的:
- 探索定性调查在社会科学研究中的作用和潜力.
- 评估人工智能支持的功能如何改善定性数据收集和参与者参与.
- 讨论人工智能增强的定性调查中的挑战和伦理考虑.
主要方法:
- 对定性调查方法的审查及其与定性范式的调整.
- 对人工智能应用程序的评估,包括机器学习和聊天机器人,用于自适应式询问.
- 分析数据质量,包容性和道德考虑等挑战,包括"感觉匿名性".
主要成果:
- 人工智能可以通过动态询问和提高参与度来增强定性调查,克服传统方法的局限性.
- 由人工智能驱动的功能可以增加数据的丰富性和覆盖范围,从而获得代表性不足的观点.
- 在线调查中的"感觉匿名"鼓励对敏感话题作出坦率的回应,扩大参与范围.
结论:
- 人工智能驱动的定性调查提供了一种混合方法,将调查可扩展性与面试响应性结合起来.
- 仔细的伦理和方法设计对于在定性调查中有效整合人工智能至关重要.
- 需要对人工智能增强的定性调查的伦理和认识论影响进行进一步的实证研究.
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