University of Oulu

Simo Hosio, Andy Alorwu, Niels van Berkel, Miguel Bordallo López, Mahalakshmy Seetharaman, Jonas Oppenlaender, and Jorge Goncalves. 2019. Fueling AI with public displays?: a feasibility study of collecting biometrically tagged consensual data on a university campus. In Proceedings of the 8th ACM International Symposium on Pervasive Displays (PerDis '19). ACM, New York, NY, USA, Article 14, 7 pages. DOI: https://doi.org/10.1145/3321335.3324943

Fueling AI with public displays? : a feasibility study of collecting biometrically tagged consensual data on a university campus

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Author: Hosio, Simo1; Alorwu, Andy1; van Berkel, Niels2;
Organizations: 1University of Oulu, Oulu, Finland
2The University of Melbourne, Melbourne, Australia
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 5.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019061820874
Language: English
Published: Association for Computing Machinery, 2019
Publish Date: 2019-06-18
Description:

Abstract

Interactive public displays have matured into highly capable two-way interfaces. They can be used for efficiently delivering information to people as well as for collecting insights from their users. While displays have been used for harvesting opinions and other content from users, surprisingly little work has looked into exploiting such screens for the consensual collection of tagged data that might be useful beyond one application. We present a field study where we collected biometrically tagged data using public kiosk-sized interactive screens. During 61 days of deployment time, we collected 199 selfie videos, cost-efficiently and with consent to leverage the videos in any non-profit research. 78 of the videos also had metadata attached to them. Overall, our studies indicate that people are willing to donate even highly sensitive data about themselves in public but that, at the same time, the participants had specific ethical and privacy concerns over the future of their data. Our study paves the way forward toward a future where volunteers can ethically help advance innovations in computer vision research across a variety of exciting application domains, such as health monitoring and care.

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ISBN Print: 978-1-4503-6751-6
Article number: 14
DOI: 10.1145/3321335.3324943
OADOI: https://oadoi.org/10.1145/3321335.3324943
Host publication: PerDis '19. Proceedings of the 8th ACM International Symposium on Pervasive Displays, Palermo, Italy, June 12 - 14, 2019
Conference: ACM International Symposium on Pervasive Displays
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This research was funded partially by the Australian Government through the Australian Research Council (project code DP190102627) and The Melbourne School of Engineering’s Visiting Fellows scheme.
Copyright information: © 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in PerDis '19. Proceedings of the 8th ACM International Symposium on Pervasive Displays, Palermo, Italy, June 12 - 14, 2019, https://doi.org/10.1145/3321335.3324943.