基于刺激与参与对齐的健康相关主题在线信息获取的多模式分析:观察性可行性研究
Szilvia Zörgő1, Gjalt-Jorn Peters2, Anna Jeney3
1Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands, 31 308622466.
Journal of medical Internet research
|July 14, 2025
概括
本研究引入了刺激与参与对齐 (SEA) 来分析用户如何评估在线健康信息. SEA评分揭示了用户在网上搜索时如何参与信息质量,有助于理解信息评估.
科学领域:
- 信息科学 信息科学 信息科学
- 人与计算机的交互
- 医疗信息学 医疗信息学
背景情况:
- 在线寻找健康信息的数量有所增加,需要用户对内容质量进行评估.
- 评估在线信息质量需要考虑内容和用户评估能力.
- 很少有研究同时关注内容质量和用户在有机网络搜索中的评价.
研究的目的:
- 开发一种方法,将在线信息搜索中的内容质量和用户评估联系起来.
- 引入刺激与参与对齐 (SEA) 作为研究信息采集理论的新方法.
- 为了比较信息检索和评估的新手和专家.
主要方法:
- 参与者 (新手和专家) 执行了一个10分钟的信息搜索任务.
- 通过观察和回顾性思维大声协议收集的数据.
- 多流数据 (大声思考,HCI,屏幕内容) 编码并使用SEA分数的R包{rock}进行分析.
主要成果:
- 刺激与参与度对齐 (SEA) 得分有意义地将遇到的信息与用户参与度进行比较.
- 分析显示,用户参与使用可信度线索,并检测线索缺失.
- SEA评分表明了情境敏感的信息评估,考虑到遇到的信息质量.
结论:
- 刺激与参与对齐 (SEA) 提供了对用户与内容交互的认识系统访问.
- 通过使用一致的编码方案,SEA可以在参与者之间识别趋势.
- 这种方法为理解有机网络搜索行为提供了全面的分析.
关键词:
可信度 可信度 可信度数据可视化数据可视化数字健康素养数字健康素养卫生信息 卫生信息信息评估 信息评估信息 寻找食物 寻找食物信息检索 信息检索寻找信息 - 寻找信息方法论 方法论 方法论多式联运数据是多式联运数据.更多相关视频
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