Transparency for Bystanders in IoT regarding audiovisual Recordings

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
Titel2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
ErscheinungsortPisa
Herausgeber (Verlag)IEEE Xplore
Seiten649-654
Seitenumfang6
ISBN (elektronisch)978-1-6654-1647-4
ISBN (Print)978-1-6654-1648-1
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Publikationsreihe

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

Konferenz

Titel2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events
KurztitelPerCom Workshops 2022
Dauer21 - 25 März 2022
StadtPisa
LandItalien

Externe IDs

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