TY - GEN
T1 - More than just informed
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
AU - Chiang, Yi Shyuan
AU - Khan, Omar
AU - Yuile, Adam Bates
AU - Cobb, Camille
N1 - We thank our amazing colleagues in the Cobb Research On Privacy & Security (CROPS) Lab for their feedback and support. We thank Kentrell Ownes and Lucy Simko for helping us pilot our early study designs. We thank Vinay Koshy for his comments and suggestions throughout all iterations. This research is in part supported by the SPLICE research group under the National Science Foundation (NSF) SaTC Frontiers program award number 1955228. The fndings and discussions are those of the authors and do not represent NSF.
PY - 2024/5/11
Y1 - 2024/5/11
N2 - Data collection without proper consent is a growing concern as smart home devices gain prevalence. It is especially difcult to obtain consent from incidental users because they may be unaware or feel pressured to consent. To understand what appropriate consent means in smart homes, we conducted an online survey (N=360) covering 6 common consent facets: freely given, revertible, informed, enthusiastic, specific, and unburdensome. We study how these facets affect perceived acceptability of data collection and how users would allocate responsibility for obtaining consent. Our results show that all facets have meaningful impacts on perceived acceptability of data collection, and eroding freely given had the greatest impact. Device owners were considered the most responsible for obtaining consent. Based on these fndings, we provide recommendations for users, device manufacturers, and policymakers to improve consent practices in smart homes, such as designing consent interfaces that prioritize multiple facets of consent.
AB - Data collection without proper consent is a growing concern as smart home devices gain prevalence. It is especially difcult to obtain consent from incidental users because they may be unaware or feel pressured to consent. To understand what appropriate consent means in smart homes, we conducted an online survey (N=360) covering 6 common consent facets: freely given, revertible, informed, enthusiastic, specific, and unburdensome. We study how these facets affect perceived acceptability of data collection and how users would allocate responsibility for obtaining consent. Our results show that all facets have meaningful impacts on perceived acceptability of data collection, and eroding freely given had the greatest impact. Device owners were considered the most responsible for obtaining consent. Based on these fndings, we provide recommendations for users, device manufacturers, and policymakers to improve consent practices in smart homes, such as designing consent interfaces that prioritize multiple facets of consent.
KW - Consent
KW - Data collection
KW - Incidental users
KW - Smart home
UR - http://www.scopus.com/inward/record.url?scp=85194885316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85194885316&partnerID=8YFLogxK
U2 - 10.1145/3613904.3642288
DO - 10.1145/3613904.3642288
M3 - Conference contribution
AN - SCOPUS:85194885316
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery
Y2 - 11 May 2024 through 16 May 2024
ER -