基于人工智能的幸福聊天机器人的新研究模式:调查研究研究
Yanrong Yang1, Jorge Tavares1, Tiago Oliveira1
1NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal.
JMIR human factors
|November 11, 2024
概括
人工智能聊天机器人可以帮助减少焦虑. 用户与幸福聊天机器人的互动受到影响,社会因素,兼容性,习惯和信任,这些都是有效的心理健康支持的关键.
科学领域:
- 人与计算机的交互
- 心理健康技术 心理健康技术
- 人工智能应用程序 人工智能应用程序
背景情况:
- 基于人工智能 (AI) 的聊天机器人正在成为减少焦虑和支持福祉的工具.
- 了解用户参与对于最大限度地提高这些数字心理健康干预措施的有效性至关重要.
研究的目的:
- 用基于AI的幸福聊天机器人识别影响用户意图和参与行为的因素.
- 通过一种新的研究模式,提高服务水平,用户体验和心理健康干预的有效性.
主要方法:
- 在中国的成人幸福聊天机器人用户中进行了一项基于网络的问卷调查.
- 分析了来自256个有效答案的数据,使用部分最小方程结构方程建模.
主要成果:
- 该模型解释了62.8%的参与意图和74%的参与行为差异.
- 影响,社会因素和兼容性显著预测了参与的意图.
- 习惯,信任和意图参与显著预测的参与行为.
结论:
- 一个新的扩展模型为人工智能聊天机器人参与提供了一个理论框架.
- 研究结果为AI福利聊天机器人开发人员提供了实用的见解.
- 强调在人工智能驱动的心理健康支持中,情感联系的重要性.
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