Crowdsourcing sensitive data using public displays—opportunities, challenges, and considerations

Author:

Alorwu AndyORCID,van Berkel Niels,Goncalves Jorge,Oppenlaender Jonas,López Miguel Bordallo,Seetharaman Mahalakshmy,Hosio Simo

Abstract

AbstractInteractive 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.

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Monetary valuation of personal health data in the wild;International Journal of Human-Computer Studies;2024-05

2. Conclusions and final reflections;Crowdsourcing during COVID-19;2022-02-18

3. Crowdsourcing during the COVID-19 crisis;Crowdsourcing during COVID-19;2022-02-18

4. The Agile Success Model;ACM Transactions on Software Engineering and Methodology;2021-07

5. Special issue on pervasive displays;Personal and Ubiquitous Computing;2021-05-22

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