Research Output per year
The lifelogging activity enables users, the lifeloggers, to passively capture images using wearable cameras from a first person perspective and ultimately create a visual diary encoding every possible aspect of their life with unprecedented details. This growing phenomenon, has posed several privacy concerns for the lifeloggers (people wearing the device), and bystanders (any person who is captured in the images). In this paper, we present a user- study to understand the sharing preferences of the lifeloggers for the images captured in difference scenarios with different audience groups. Our findings motivate the need to design privacy preserving techniques, which will automatically recommend sharing decisions which will help the lifeloggers avoid misclosure, i.e. wrongly sharing a sensitive image with one or more sharing groups.
|Title of host publication||OzCHI '16 Proceedings of the 28th Australian Conference on Computer-Human Interaction|
|Place of Publication||New York, NY (US)|
|Number of pages||3|
|Publication status||Published - 29 Nov 2016|
|Event||28th Australian Conference on Computer-Human Interaction - Launceston, Australia|
Duration: 29 Nov 2016 → 2 Dec 2016
|Conference||28th Australian Conference on Computer-Human Interaction|
|Abbreviated title||OzCHI '16|
|Period||29/11/16 → 2/12/16|
Chowdhury, S. & Mackenzie, L., 29 Nov 2016, OzCHI '16 Proceedings of the 28th Australian Conference on Computer-Human Interaction. New York, NY (US): ACM, p. 442-446 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference publication
Chowdhury, S., Ferdous, M. S., & Jose, J. M. (2016). Understanding lifelog sharing preferences of lifeloggers. In OzCHI '16 Proceedings of the 28th Australian Conference on Computer-Human Interaction (pp. 649-651). ACM. https://doi.org/10.1145/3010915.3011852