A Privacy by Design Approach to Lifelogging

Authors: Cathal Gurrin (Insight Centre for Data Analytics, Dublin City University), Rami Albatal (Insight Centre for Data Analytics, Dublin City University), Hideo Joho (University of Tsukuba), Kaori Ishii (University of Tsukuba)

Venue: Digital Enlightenment Yearbook 2014, IOS Press, pp. 49–73 (2014)

Archival note: The ResearchGate publication page is blocked to automated access and has no Wayback Machine snapshot, so only the abstract and bibliographic metadata could be preserved from the ResearchGate record. The openly licensed full-text PDF was retrieved from Dublin City University's DORAS open-access repository (https://doras.dcu.ie/20505/1/Gurrin.pdf) and is preserved alongside this file as `paper.pdf`.

Abstract

Technologies that enable us to capture and publish data with ease are likely to pose new concerns about privacy of the individual. In this article we examine the privacy implications of lifelogging, a new concept being explored by early adopters, which utilises wearable devices to generate a media rich archive of their life experience. The concept of privacy and the privacy implications of lifelogging are presented and discussed in terms of the four key actors in the lifelogging universe. An initial privacy-aware lifelogging framework, based on the key principles of privacy by design is presented and motivated.

Keywords: Lifelogging, privacy, privacy by design, negative face blurring

Relevance to Narrative

The paper repeatedly uses the Narrative Clip as its archetypal consumer lifelogging device, e.g.: "Devices such as the Narrative Clip wearable camera, or Google Glass, inevitably raise privacy concerns as we see the emergence of sousveillance as an increasingly popular activity"; "Whether it is every heart beat (the Basis watch), our locations and motion (the Moves app), or everything we see and do (the Narrative Clip), we are at a new phase of technical advancement"; and "Utilising wearable devices such as the OMG Autographer, Narrative Clip and previously the Microsoft SenseCam, allows for the continuous and automatic capture of life activities as a visual sequence of digital images."