TY - GEN
T1 - Defending my castle
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
AU - Yao, Yaxing
AU - Basdeo, Justin Reed
AU - Kaushik, Smirity
AU - Wang, Yang
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/5/2
Y1 - 2019/5/2
N2 - Home is a person’s castle, a private and protected space. Internet-connected devices such as locks, cameras, and speakers might make a home “smarter” but also raise privacy issues because these devices may constantly and inconspicuously collect, infer or even share information about people in the home. To explore user-centered privacy designs for smart homes, we conducted a co-design study in which we worked closely with diverse groups of participants in creating new designs. This study helps fill the gap in the literature between studying users’ privacy concerns and designing privacy tools only by experts. Our participants’ privacy designs often relied on simple strategies, such as data localization, disconnection from the Internet, and a private mode. From these designs, we identified six key design factors: data transparency and control, security, safety, usability and user experience, system intelligence, and system modality. We discuss how these factors can guide design for smart home privacy.
AB - Home is a person’s castle, a private and protected space. Internet-connected devices such as locks, cameras, and speakers might make a home “smarter” but also raise privacy issues because these devices may constantly and inconspicuously collect, infer or even share information about people in the home. To explore user-centered privacy designs for smart homes, we conducted a co-design study in which we worked closely with diverse groups of participants in creating new designs. This study helps fill the gap in the literature between studying users’ privacy concerns and designing privacy tools only by experts. Our participants’ privacy designs often relied on simple strategies, such as data localization, disconnection from the Internet, and a private mode. From these designs, we identified six key design factors: data transparency and control, security, safety, usability and user experience, system intelligence, and system modality. We discuss how these factors can guide design for smart home privacy.
KW - Co-design
KW - Internet of things
KW - Privacy
KW - Smart home
UR - http://www.scopus.com/inward/record.url?scp=85067622648&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067622648&partnerID=8YFLogxK
U2 - 10.1145/3290605.3300428
DO - 10.1145/3290605.3300428
M3 - Conference contribution
AN - SCOPUS:85067622648
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 4 May 2019 through 9 May 2019
ER -