当前位置: X-MOL 学术Pers. Ubiquitous Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Crowdsourcing sensitive data using public displays—opportunities, challenges, and considerations
Personal and Ubiquitous Computing ( IF 3.006 ) Pub Date : 2020-03-20 , DOI: 10.1007/s00779-020-01375-6
Andy Alorwu , Niels van Berkel , Jorge Goncalves , Jonas Oppenlaender , Miguel Bordallo López , Mahalakshmy Seetharaman , Simo Hosio

Abstract

Interactive public displays are versatile two-way interfaces between the digital world and passersby. They can convey information and harvest purposeful data from their users. Surprisingly little work has exploited public displays for collecting tagged data that might be useful beyond a single application. In this work, we set to fill this gap and present two studies: (1) a field study where we investigated collecting biometrically tagged video-selfies using public kiosk-sized screens, and (2) an online narrative transportation study that further elicited rich qualitative insights on key emerging aspects from the first study. In the first study, a 61-day deployment resulted in 199 video-selfies with consent to leverage the videos in any non-profit research. The field study indicates that people are willing to donate even highly sensitive data about themselves in public. The subsequent online narrative transportation study provides a deeper understanding of a variety of issues arising from the first study that can be leveraged in the future design of such systems. The two studies combined in this article pave the way forward towards a vision where volunteers can, should they so choose, ethically and serendipitously help unleash advances in data-driven areas such as computer vision and machine learning in health care.



中文翻译:

使用公共显示众包敏感数据—机遇,挑战和注意事项

摘要

交互式公共显示器是数字世界和路人之间的多功能双向接口。他们可以传达信息并从用户那里收集有目的的数据。令人惊讶的是,很少有工作利用公共显示来收集带标签的数据,这些数据可能对单个应用程序以外的其他方面都有用。在这项工作中,我们将填补这一空白并提出两项研究:(1)现场研究,我们使用公共信息亭大小的屏幕调查了收集带有生物特征标记的视频自拍照,以及(2)在线叙事运输研究,进一步激发了人们的兴趣。对第一项研究的关键新兴方面的定性见解。在第一个研究中,为期61天的部署产生了199个视频自拍照,并同意在任何非营利性研究中利用这些视频。现场研究表明,人们愿意在公共场合甚至捐赠关于自己的高度敏感的数据。随后的在线叙述性运输研究提供了对第一个研究中产生的各种问题的更深刻理解,这些问题可在此类系统的未来设计中加以利用。本文中的两项研究相结合,为实现志愿人员可以在道德和偶然的情况下在道德上和偶然地帮助发掘诸如计算机视觉和医疗保健中的数据驱动领域的进步的愿景铺平了道路。

更新日期:2020-04-14
down
wechat
bug