@inproceedings{ce713fa16daa40efa43f539361d26cd8,
title = "Evaluating the paper-to-screen translation of participant-aided sociograms with high-risk participants",
abstract = "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.",
keywords = "Participant-aided sociograms, Social networks",
author = "Bernie Hogan and Melville, {Joshua R.} and Philips, {Gregory Lee} and Patrick Janulis and Noshir Contractor and Mustanski, {Brian S.} and Michelle Birkett",
year = "2016",
month = may,
day = "7",
doi = "10.1145/2858036.2858368",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "5360--5371",
booktitle = "CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems",
note = "34th Annual Conference on Human Factors in Computing Systems, CHI 2016 ; Conference date: 07-05-2016 Through 12-05-2016",
}