人工智能能为戒烟运动产生有用的信息吗? 一个具有不同情感吸引力和来源归因的测试
Wan-Lun Chang1, Xiaomei Cai1, Xiaoquan Zhao1
1Department of Communication, George Mason University, Fairfax, VA 22030, USA.
International journal of environmental research and public health
|October 29, 2025
概括
聊天GPT可以创建戒烟信息,但人类专家被认为更可信. 人工智能生成的信息增加了风险感知,但没有放弃意图.
科学领域:
- 公共卫生 公共卫生
- 卫生沟通健康沟通
- 人工智能的人工智能
背景情况:
- 戒烟运动对公众健康至关重要.
- 情感上的吸引力和来源的可信性影响信息的有效性.
- 人工智能 (AI) 在健康信息传递中的作用正在出现.
研究的目的:
- 评估ChatGPT 3.5能够生成有效的戒烟信息的能力.
- 为了比较不同情感吸引力 (威胁与幽默) 在人工智能生成的信息中的影响.
- 检查来源归因 (人工智能与人类专家) 对消息结果的影响.
主要方法:
- 招募了480名目前吸烟者的样本.
- 参与者被随机分配阅读5个ChatGPT生成的消息之一或控制消息.
- A 2 (吸引力:威胁与幽默) × 2 (来源:人工智能与人类专家) 使用因子设计.
主要成果:
- 戒烟信息增加了风险感知,但与对照组相比,戒烟的意图并没有显著增加.
- 归因于人类专家的信息产生了比归因于AI的信息更高的感知来源可信度.
- 在消息吸引力和来源归因之间没有发现显著的相互作用.
结论:
- 人工智能可以生成影响风险感知的戒烟信息.
- 人类专家目前被认为是比人工智能更可信的健康信息来源.
- 未来的烟草教育活动在使用人工智能生成的内容时应该考虑来源的可信性.
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