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pro vyhledávání: '"Sarah Pearman"'
Publikováno v:
Proceedings on Privacy Enhancing Technologies. 2022:558-581
In this paper we describe the iterative evaluation and refinement of a consent flow for a chatbot being developed by a large U.S. health insurance company. This chatbot’s use of a cloud service provider triggers a requirement for users to agree to
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-42
We conducted an online survey and remote usability study to explore user needs related to advertising controls on Facebook and determine how well existing controls align with these needs. Our survey results highlight a range of user objectives relate
Autor:
Alessandro Acquisti, Norman Sadeh, Yuanyuan Feng, Megan Ung, Sarah Pearman, Tharangini Palanivel, Lorrie Faith Cranor, Jessica Colnago
Publikováno v:
CHI
Internet of Things (IoT) devices create new ways through which personal data is collected and processed by service providers. Frequently, end users have little awareness of, and even less control over, these devices' data collection. IoT Personalized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e9e8c8d52fdddd40f006d392165c9fa
Autor:
Jiamin Wang, Sarah Pearman, Hana Habib, Yixin Zou, Alessandro Acquisti, Florian Schaub, Norman Sadeh, Lorrie Faith Cranor
Publikováno v:
CHI
We conducted an in-lab user study with 24 participants to explore the usefulness and usability of privacy choices offered by websites. Participants were asked to find and use choices related to email marketing, targeted advertising, or data deletion
Publikováno v:
CHI
General-purpose content-sharing platforms make it difficult for users to limit sharing to people interested in particular topics. Additional topic-based controls may allow users to better reach desired audiences. Designing such tools requires underst