Transparency for Bystanders in IoT regarding audiovisual Recordings

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

Recent developments increasingly merge visions of ubiquitous computing and the Internet of Things (IoT) with artificial intelligence. Despite the wealth of benefits, this technological evolution also opens up a number of new privacy issues. In particular, the establishment of nearly invisible audiovisual sensors, such as those in smart speakers or smart cars, affect not only device owners, but everyone who enters the recording radius of them. Currently, it is nearly impossible for such a bystander to identify surrounding smart devices and corresponding data handling, which leads to foreign control of the bystander's recorded data. Therefore, we introduce our transparency app to enable bystanders insights into surrounding, audiovisual smart devices in everyday life. Further, we conducted a semi-structured interview (N = 8) to analyze the desire for transparency as well as the acceptance and usability of our solution. We verified that there is a high demand for transparency, which, however, is very individual and context-dependent. Moreover our solution helped to satisfy the bystanders' desire for transparency.

Details

Original languageEnglish
Title of host publication2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Place of PublicationPisa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages649-654
Number of pages6
ISBN (electronic)978-1-6654-1647-4
ISBN (print)978-1-6654-1648-1
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

SeriesIEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

Conference

Title2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events
Abbreviated titlePerCom Workshops 2022
Duration21 - 25 March 2022
CityPisa
CountryItaly

External IDs

ORCID /0000-0001-6515-9985/work/142245107
ORCID /0000-0002-0466-562X/work/142246131