TY - GEN
T1 - All in one! user perceptions on centralized IoT privacy settings
AU - Marky, Karola
AU - Zimmermann, Verena
AU - Stöver, Alina
AU - Hoffmann, Philipp
AU - Kunze, Kai
AU - Mühlhäuser, Max
N1 - Funding Information:
This work has been co-funded by the German Federal Ministry of Education and Research (BMBF) within the SWC 2.0 "PrivacyGate" 01|S17050, by the Horst G'rtz Foundation, by the BMBF and the Hessen State Ministry for Higher Education, Research and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE, and JST CREST Grant No. JPMJCR16E1 Experiential Supplements.
Funding Information:
This work has been co-funded by the German Federal Ministry of Education and Research (BMBF) within the SWC 2.0 "PrivacyGate" 01|S17050, by the Horst Görtz Foundation, by the BMBF and the Hessen State Ministry for Higher Education, Research and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE, and JST CREST Grant No. JPMJCR16E1 Experiential Supplements.
Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - IoT devices deliver their functionality by accessing data. Users decide which data they are willing to share via privacy settings interfaces that are typically on the device, or in the app controlling it. Thus, users have to interact with each device or app which is time-consuming and settings might be overlooked. In this paper, we provide a stepping stone into a multi-device interface for adjusting privacy settings. We present three levels of information detail: 1) sensor name 2), sensor name and information about captured data and 3) detailed information on each collected data type including consequences. Through a pre-study with 15 participants, we found that users prefer the access to detailed information because this offers the best decision support. They also wish for a clear status communication, a possibility for rule-based settings, and delegation options.
AB - IoT devices deliver their functionality by accessing data. Users decide which data they are willing to share via privacy settings interfaces that are typically on the device, or in the app controlling it. Thus, users have to interact with each device or app which is time-consuming and settings might be overlooked. In this paper, we provide a stepping stone into a multi-device interface for adjusting privacy settings. We present three levels of information detail: 1) sensor name 2), sensor name and information about captured data and 3) detailed information on each collected data type including consequences. Through a pre-study with 15 participants, we found that users prefer the access to detailed information because this offers the best decision support. They also wish for a clear status communication, a possibility for rule-based settings, and delegation options.
KW - Internet of things
KW - Privacy decision support
KW - Smart home
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UR - http://www.scopus.com/inward/citedby.url?scp=85090200480&partnerID=8YFLogxK
U2 - 10.1145/3334480.3383016
DO - 10.1145/3334480.3383016
M3 - Conference contribution
AN - SCOPUS:85090200480
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Y2 - 25 April 2020 through 30 April 2020
ER -