Evaluating the Paper-to-Screen Translation of Participant-Aided Sociograms with High-Risk Participants.
Evaluating the Paper-to-Screen Translation of Participant-Aided Sociograms with High-Risk Participants.
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DOI：
10.1145/2858036.2858368
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
Birkett M
中科院分区：
文献类型：
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作者：
Hogan B;Melville JR;Philips GL 2nd;Janulis P;Contractor N;Mustanski BS;Birkett M
尽管网上存在大量社交网络数据，但仍必须通过自我报告捕获高风险人群的关键网络指标。这种做法在工作流程和响应负担方面受到许多限制。然而，技术、网络绘图库和数据库的进步使得交互式网络绘图变得越来越可行。我们描述了将用于捕获个人网络的基于模拟的技术转换为称为 netCanvas 的数字框架，该框架解决了许多现有的缺点，例如：1）复杂的数据输入； 2) 广泛的访谈员干预和现场设置； 3）数据复用困难； 4）缺乏动态可视化。我们在高风险和难以接触人群的健康行为研究中测试了这一实施。我们提供纸质和触摸屏之间的受试者内比较。我们断言，基于触摸屏的社交网络捕获现在是高度敏感数据和社交网络数据输入任务的可行替代方案。
While much social network data exists online, key network metrics for high-risk populations must still be captured through self-report. This practice has suffered from numerous limitations in workflow and response burden. However, advances in technology, network drawing libraries and databases are making interactive network drawing increasingly feasible. We describe the translation of an analog-based technique for capturing personal networks into a digital framework termed netCanvas that addresses many existing shortcomings such as: 1) complex data entry; 2) extensive interviewer intervention and field setup; 3) difficulties in data reuse; and 4) a lack of dynamic visualizations. We test this implementation within a health behavior study of a high-risk and difficult-to-reach population. We provide a within–subjects comparison between paper and touchscreens. We assert that touchscreen-based social network capture is now a viable alternative for highly sensitive data and social network data entry tasks.