{"title":"Understanding lifelog sharing preferences of lifeloggers","authors":"Soumyadeb Chowdhury, M. Ferdous, J. Jose","doi":"10.1145/3010915.3011852","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":309823,"journal":{"name":"Proceedings of the 28th Australian Conference on Computer-Human Interaction","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th Australian Conference on Computer-Human Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3010915.3011852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
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.