对不同同意媒介的比较态度:半结构化的定性研究
Xengie Doan1, Arianna Rossi2, Marietjie Botes1,3
1SnT, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
JMIR human factors
|April 30, 2024
概括
信息图表增强对健康数据共享同意表格的理解和参与,优于其他格式,如文本或视频. 用户原型和结构等设计元素是有效同意的关键.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 生物伦理学生物伦理学
背景情况:
- 传统的纯文本同意表格不足以满足不断变化的数字数据共享需求.
- 设计有效的同意表格具有挑战性,多媒体元素的有效性各不相同.
- 不适当使用图形和视频可能会对用户的理解和同意产生负面影响.
研究的目的:
- 探索成年人对健康数据共享的各种同意格式 (信息图,视频,文本,通讯,漫画) 的期望和经验.
- 确定不同媒介的同意是否合适.
- 在每个媒介中确定增强用户参与同意内容的特定元素.
主要方法:
- 在信息图,视频,文本,通讯和漫画格式中开发了模拟同意表格.
- 与24名成年人进行了半结构面试,以收集对同意媒介的期望和反.
- 对转录的采访进行了定性共编码,确定了与引人入胜的元素和媒介偏好相关的主题.
主要成果:
- 参与者原型,如"信任寻求者",出现了,突出了各种决策目标.
- 信息图表在改善理解,优先考虑信息和适合健康数据共享同意方面排名最高.
- 首选的引人入胜的元素包括清晰的结构,一步一步的组织,以及所有格式的高可读性.
结论:
- 用户原型和特定的设计元素可以为创建更有效的同意表格提供信息.
- 信息图表显示了增强用户参与和理解健康数据同意场景的希望.
- 媒介偏好高度上下文,需要进一步研究最佳的同意设计.
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