使用人工智能生成有针对性和量身定制的健康传播叙述
1Department of Public Relations, College of Journalism and Communications, University of Florida, Gainesville, Florida, USA.
概括
生成型人工智能可以有效地创建个性化的健康叙述,以预防风险. 然而,AI定制的信息被认为是不那么可信,并没有增加宫癌查的动机.
科学领域:
- 卫生传播健康传播
- 医疗保健中的人工智能
- 行为科学 行为科学
背景情况:
- 定制的健康叙述有效地促进了风险预防行为,但开发需要大量资源.
- 生成型人工智能 (AI) 提出了一个潜在的解决方案,以解决在创建量身定制的健康传播叙事 (HCN) 的资源限制.
- 这项研究调查了AI产生个性化HCN的能力,以传递关键的健康风险信息.
研究的目的:
- 探索生成性AI的潜力,特别是ChatGPT,在创造人口统计和理论上定制的健康传播叙事方面.
- 检查人工智能生成的有针对性和量身定制的叙述在促进宫癌查吸收方面的有效性.
主要方法:
- 对272名参与者进行了两阶段预先注册的实验,涉及到宫癌查信息.
- 参与者被随机分配,接受非叙事,通用叙事,或人工智能生成的有针对性或量身定制的叙事信息.
- 针对性的叙述是基于人口统计数据的AI定制的; 量身定制的叙述还包含了心理线索,如恐惧和担忧.
主要成果:
- 定性审查证实了ChatGPT能够制作个性化的健康叙述的能力.
- 人工智能定制的叙述被认为质量和可信度较低,与对照组相比,并没有显著增加对宫癌查的动机.
- 年长的参与者,那些更担心癌症的人,或者那些认为查有好处的人更容易被AI定制的信息所说服.
结论:
- 像ChatGPT这样的生成性AI模型可以有效地创建有针对性和定制的健康风险信息.
- 目前人工智能生成的叙述需要进一步改进,以提高感知质量,可信性和有效性,以激励健康行为改变.
- 人工智能驱动的健康沟通中的个性化策略需要优化,以获得更广泛的适用性和影响.
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